analyze-data.ipynb

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  "colab": {
   "name": "analyze-data.ipynb",
   "provenance": [],
   "collapsed_sections": [
    "o9jZX9YfUMy-",
    "ZCsv8uqlUZjT"
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   "machine_shape": "hm"
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  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
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  "language_info": {
   "name": "python"
  }
 },
 "cells": [
  {
   "cell_type": "code",
   "metadata": {
    "id": "ivCBr1D_XSeY"
   },
   "source": [],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "RUPy-2PNar44"
   },
   "source": [
    "import json\n",
    "import re\n",
    "import sys\n",
    "import os\n",
    "import pandas as pd\n",
    "import ast\n",
    "# from pandas import json_normalize\n",
    "from tqdm import tqdm\n",
    "from collections import Counter\n",
    "from pathlib import Path\n",
    "from pandas import json_normalize"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "xZljJnGCeD8E",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1622348881817,
     "user_tz": 300,
     "elapsed": 16055,
     "user": {
      "displayName": "pooneh mousavi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjfKBf96vNg81URgRBuXe3jg06Kwdmb8gXzWWsc=s64",
      "userId": "07980475777627459411"
     }
    },
    "outputId": "3ea65892-6eaa-40a9-a92a-d18a4e03518d"
   },
   "source": [
    "# We'll start by creating a directory in which we'll define our new\n",
    "# modules to be imported. Also, we import the data that we need for run the code to \n",
    "# skip the part of generating KNN and Sparse Graph which is the time consuming part.\n",
    "# %mkdir data\n",
    "# %mkdir dataset\n",
    "# %mkdir embeddings\n",
    "%mkdir -p Trec_data\n",
    "from google.colab import drive\n",
    "drive.mount('/content/gdrive', force_remount = True)\n",
    "\n",
    "# %cp -a gdrive/My\\ Drive/VolunteerismTransfer/Code/Labeled.json ./\n",
    "%cp -a gdrive/My\\ Drive/VolunteerismTransfer/Code/events_score.csv ./\n",
    "# %cp -a gdrive/My\\ Drive/CorrectAndSmooth/data/. ./data/"
   ],
   "execution_count": null,
   "outputs": [
    {
     "output_type": "stream",
     "text": [
      "Mounted at /content/gdrive\n"
     ],
     "name": "stdout"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "xN1oFrq4fGQx"
   },
   "source": [
    "import sys\n",
    "import re, numpy as np, pandas as pd\n",
    "from pprint import pprint\n",
    "\n",
    "# Gensim\n",
    "import gensim, spacy, logging, warnings\n",
    "import gensim.corpora as corpora\n",
    "import nltk\n",
    "from gensim.utils import lemmatize, simple_preprocess\n",
    "from gensim.models import CoherenceModel\n",
    "\n",
    "from gensim.models.fasttext import FastText\n",
    "from gensim.models import KeyedVectors\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from gensim.models import KeyedVectors\n",
    "\n",
    "from nltk.corpus import stopwords\n",
    "import gensim.downloader as api\n",
    "import string\n",
    "from sklearn.semi_supervised import LabelSpreading, LabelPropagation"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "o9jZX9YfUMy-"
   },
   "source": [
    "# **`Clean and Process Data `**"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "3eKHkTWETPan"
   },
   "source": [
    "import nltk\n",
    "nltk.download()"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "GhWrJVRHT2oP"
   },
   "source": [
    "stop_words = stopwords.words('english')\n",
    "stop_words.extend([\"http\", \"https\", \"rt\", \"@\", \":\", \"t.co\", \"co\", \"amp\", \"&amp;\", \"...\", \"\\n\", \"\\r\"])\n",
    "stop_words.extend(string.punctuation)"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "St4ZCFADpi0k"
   },
   "source": [
    "def sent_to_words(sentences):\n",
    "    for sent in sentences:\n",
    "        sent = re.sub('\\S*@\\S*\\s?', '', sent)  # remove emails\n",
    "        sent = re.sub('\\s+', ' ', sent)  # remove newline chars\n",
    "        sent = re.sub(\"\\'\", \"\", sent)  # remove single quotes\n",
    "        sent = gensim.utils.simple_preprocess(str(sent), deacc=True)\n",
    "        yield(sent)"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "k-g7FfwipkyJ"
   },
   "source": [
    "\n",
    "df = pd.read_json(\"./abeled.json\", orient='records',lines=True)\n",
    "data = df.text.values.tolist()\n",
    "data_words = list(sent_to_words(data))"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Dkll3pq2pmRw",
    "executionInfo": {
     "elapsed": 13668,
     "status": "ok",
     "timestamp": 1620330697002,
     "user": {
      "displayName": "Ali Parviz",
      "photoUrl": "",
      "userId": "01225419809509768623"
     },
     "user_tz": 300
    },
    "outputId": "b225bf6f-ebfd-4138-ecf6-bdedfdc82fc1"
   },
   "source": [
    "bigram = gensim.models.Phrases(data_words, min_count=5, threshold=100) # higher threshold fewer phrases.\n",
    "trigram = gensim.models.Phrases(bigram[data_words], threshold=100)\n",
    "bigram_mod = gensim.models.phrases.Phraser(bigram)\n",
    "trigram_mod = gensim.models.phrases.Phraser(trigram)"
   ],
   "execution_count": null,
   "outputs": [
    {
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/gensim/models/phrases.py:598: UserWarning: For a faster implementation, use the gensim.models.phrases.Phraser class\n",
      "  warnings.warn(\"For a faster implementation, use the gensim.models.phrases.Phraser class\")\n"
     ],
     "name": "stderr"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "FYYvQvM4ppYX"
   },
   "source": [
    "def process_words(texts, stop_words=stop_words, allowed_postags=['NOUN', 'ADJ', 'VERB', 'ADV']):\n",
    "    \"\"\"Remove Stopwords, Form Bigrams, Trigrams and Lemmatization\"\"\"\n",
    "    texts = [[word for word in simple_preprocess(str(doc)) if word not in stop_words] for doc in texts]\n",
    "    texts = [bigram_mod[doc] for doc in texts]\n",
    "    texts = [trigram_mod[bigram_mod[doc]] for doc in texts]\n",
    "    texts_out = []\n",
    "    nlp = spacy.load('en', disable=['parser', 'ner'])\n",
    "    for sent in texts:\n",
    "        doc = nlp(\" \".join(sent))\n",
    "        texts_out.append([token.lemma_ for token in doc if token.pos_ in allowed_postags])\n",
    "    # remove stopwords once more after lemmatization\n",
    "    texts_out = [[word for word in simple_preprocess(str(doc)) if word not in stop_words] for doc in texts_out]\n",
    "    return texts_out"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "XeOzzAR-pp55"
   },
   "source": [
    "data_ready = process_words(data_words)"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "ZwLUvM_tpvZa"
   },
   "source": [
    "df['processed_text']=data_ready\n",
    "df.to_json('./PR_all_Labeled.json', orient='records', lines=True)\n"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "EfcphKyzk8hb"
   },
   "source": [
    "cp -a ./PR_all_Labeled.json  gdrive/My\\ Drive/Code/"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "y7s6lda-WFdP"
   },
   "source": [
    "data = pd.read_json(\"./PR_all_Labeled.json\", orient='records',lines=True)\n"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZCsv8uqlUZjT"
   },
   "source": [
    "# Topic Modeling"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "6pJ9zn4A653U"
   },
   "source": [
    "id2word = corpora.Dictionary(data_ready)\n",
    "corpus = [id2word.doc2bow(text) for text in data_ready]\n"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "aOVt7Lfd68yp",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1621960723615,
     "user_tz": 300,
     "elapsed": 19536,
     "user": {
      "displayName": "pooneh mousavi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjfKBf96vNg81URgRBuXe3jg06Kwdmb8gXzWWsc=s64",
      "userId": "07980475777627459411"
     }
    },
    "outputId": "9d510564-603b-43cc-a6d0-c5ea7e3872b1"
   },
   "source": [
    "lda_model = gensim.models.ldamodel.LdaModel(corpus=corpus,\n",
    "                                           id2word=id2word,\n",
    "                                           num_topics=7, \n",
    "                                           random_state=100,\n",
    "                                           update_every=1,\n",
    "                                           chunksize=10,\n",
    "                                           passes=10,\n",
    "                                           alpha='symmetric',\n",
    "                                           iterations=100,\n",
    "                                           per_word_topics=True)\n",
    "\n",
    "pprint(lda_model.print_topics())"
   ],
   "execution_count": null,
   "outputs": [
    {
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.036*\"collect\" + 0.030*\"number\" + 0.029*\"hand\" + 0.027*\"link\" + '\n",
      "  '0.026*\"place\" + 0.021*\"ready\" + 0.021*\"provide\" + 0.018*\"home\" + '\n",
      "  '0.016*\"high\" + 0.016*\"calm\"'),\n",
      " (1,\n",
      "  '0.106*\"flood\" + 0.056*\"ymmfire\" + 0.046*\"due\" + 0.031*\"fire\" + 0.025*\"team\" '\n",
      "  '+ 0.025*\"update\" + 0.018*\"late\" + 0.017*\"evacuation\" + 0.013*\"find\" + '\n",
      "  '0.012*\"instead\"'),\n",
      " (2,\n",
      "  '0.149*\"need\" + 0.038*\"train\" + 0.025*\"send\" + 0.023*\"official\" + '\n",
      "  '0.019*\"say\" + 0.017*\"good\" + 0.016*\"information\" + 0.016*\"give\" + '\n",
      "  '0.015*\"supply\" + 0.014*\"bullet\"'),\n",
      " (3,\n",
      "  '0.187*\"help\" + 0.098*\"people\" + 0.067*\"affect\" + 0.031*\"thousand\" + '\n",
      "  '0.030*\"donate\" + 0.023*\"go\" + 0.018*\"follow\" + 0.018*\"thank\" + 0.018*\"make\" '\n",
      "  '+ 0.014*\"want\"'),\n",
      " (4,\n",
      "  '0.064*\"open\" + 0.034*\"shelter\" + 0.031*\"many\" + 0.030*\"start\" + '\n",
      "  '0.027*\"family\" + 0.027*\"let\" + 0.026*\"know\" + 0.017*\"case\" + '\n",
      "  '0.017*\"nepalearthquake\" + 0.016*\"evacuee\"'),\n",
      " (5,\n",
      "  '0.068*\"victim\" + 0.048*\"stay\" + 0.041*\"use\" + 0.036*\"resident\" + '\n",
      "  '0.035*\"evacuate\" + 0.027*\"get\" + 0.024*\"live\" + 0.024*\"typhoon\" + '\n",
      "  '0.022*\"dear\" + 0.019*\"camp\"'),\n",
      " (6,\n",
      "  '0.060*\"volunteer\" + 0.059*\"relief\" + 0.038*\"offer\" + 0.035*\"call\" + '\n",
      "  '0.034*\"emergency\" + 0.032*\"support\" + 0.031*\"ymmfire\" + 0.026*\"material\" + '\n",
      "  '0.026*\"blood\" + 0.023*\"earthquake\"')]\n"
     ],
     "name": "stdout"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "5RJExDgR6-3s"
   },
   "source": [
    "t=lda_model.get_document_topics(corpus,minimum_probability=0.0)"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "skmI707H7Ixw"
   },
   "source": [
    "new_df=pd.DataFrame()\n",
    "count=0\n",
    "for index,row in df.iterrows():\n",
    "    new_df=new_df.append({\"postID\":row[\"postID\"],\"eventid\":row[\"eventid\"],\"event_type\":row[\"event_type\"],\"climate_related\":row[\"climate_related\"], \"t0\":t[count][0][1], \"t1\":t[count][1][1],\"t2\":t[count][2][1],\"t3\":t[count][3][1],\"t4\":t[count][4][1],\"t5\":t[count][5][1],\"t6\":t[count][6][1]},ignore_index=True)\n",
    "    count+=1\n",
    "    "
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "SisDMv8Ql8Yn"
   },
   "source": [
    "new_df.to_csv(\"./7-topics.csv\")"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 142
    },
    "id": "lviZOUdvmLBY",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1621960855003,
     "user_tz": 300,
     "elapsed": 270,
     "user": {
      "displayName": "pooneh mousavi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjfKBf96vNg81URgRBuXe3jg06Kwdmb8gXzWWsc=s64",
      "userId": "07980475777627459411"
     }
    },
    "outputId": "7d47d8d2-3b39-476d-de6a-d9f58ee7cbe1"
   },
   "source": [
    "new_df.groupby('climate_related').mean()"
   ],
   "execution_count": null,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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       "    <tr>\n",
       "      <th>climate_related</th>\n",
       "      <th></th>\n",
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       "      <th>0.0</th>\n",
       "      <td>0.123584</td>\n",
       "      <td>0.113220</td>\n",
       "      <td>0.161435</td>\n",
       "      <td>0.209775</td>\n",
       "      <td>0.123225</td>\n",
       "      <td>0.126940</td>\n",
       "      <td>0.140575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>0.122463</td>\n",
       "      <td>0.140503</td>\n",
       "      <td>0.160069</td>\n",
       "      <td>0.193850</td>\n",
       "      <td>0.122806</td>\n",
       "      <td>0.123862</td>\n",
       "      <td>0.134532</td>\n",
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       "                       t0        t1        t2  ...        t4        t5        t6\n",
       "climate_related                                ...                              \n",
       "0.0              0.123584  0.113220  0.161435  ...  0.123225  0.126940  0.140575\n",
       "1.0              0.122463  0.140503  0.160069  ...  0.122806  0.123862  0.134532\n",
       "\n",
       "[2 rows x 7 columns]"
      ]
     },
     "metadata": {
      "tags": []
     },
     "execution_count": 19
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 173
    },
    "id": "MkYqh4mwmi0n",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1621876464055,
     "user_tz": 300,
     "elapsed": 73,
     "user": {
      "displayName": "pooneh mousavi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjfKBf96vNg81URgRBuXe3jg06Kwdmb8gXzWWsc=s64",
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     }
    },
    "outputId": "257d39f8-8059-4279-a0e2-9df5da6bed25"
   },
   "source": [
    "new_df.query(\"climate_related == 1\").groupby('event_type').mean()"
   ],
   "execution_count": null,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>climate_related</th>\n",
       "      <th>t0</th>\n",
       "      <th>t1</th>\n",
       "      <th>t2</th>\n",
       "      <th>t3</th>\n",
       "      <th>t4</th>\n",
       "      <th>t5</th>\n",
       "      <th>t6</th>\n",
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       "    <tr>\n",
       "      <th>event_type</th>\n",
       "      <th></th>\n",
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       "      <th>flood</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.108854</td>\n",
       "      <td>0.084057</td>\n",
       "      <td>0.199707</td>\n",
       "      <td>0.152625</td>\n",
       "      <td>0.184916</td>\n",
       "      <td>0.161173</td>\n",
       "      <td>0.109790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hurricane/typhoon/cyclone/tornado</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.110128</td>\n",
       "      <td>0.094879</td>\n",
       "      <td>0.255910</td>\n",
       "      <td>0.112118</td>\n",
       "      <td>0.190297</td>\n",
       "      <td>0.091692</td>\n",
       "      <td>0.144564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wildfire/bushfire</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.198788</td>\n",
       "      <td>0.114797</td>\n",
       "      <td>0.183758</td>\n",
       "      <td>0.102120</td>\n",
       "      <td>0.153320</td>\n",
       "      <td>0.123913</td>\n",
       "      <td>0.122381</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   climate_related  ...        t6\n",
       "event_type                                          ...          \n",
       "flood                                          1.0  ...  0.109790\n",
       "hurricane/typhoon/cyclone/tornado              1.0  ...  0.144564\n",
       "wildfire/bushfire                              1.0  ...  0.122381\n",
       "\n",
       "[3 rows x 8 columns]"
      ]
     },
     "metadata": {
      "tags": []
     },
     "execution_count": 27
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 906
    },
    "id": "tWZmcgXrmzTo",
    "executionInfo": {
     "elapsed": 250,
     "status": "ok",
     "timestamp": 1620320149622,
     "user": {
      "displayName": "pooneh mousavi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjfKBf96vNg81URgRBuXe3jg06Kwdmb8gXzWWsc=s64",
      "userId": "07980475777627459411"
     },
     "user_tz": 300
    },
    "outputId": "d89a317a-c079-4607-9198-d130f4a08826"
   },
   "source": [
    "new_df.query(\"climate_related == 1\").groupby('eventid').mean()"
   ],
   "execution_count": null,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>climate_related</th>\n",
       "      <th>t0</th>\n",
       "      <th>t1</th>\n",
       "      <th>t2</th>\n",
       "      <th>t3</th>\n",
       "      <th>t4</th>\n",
       "      <th>t5</th>\n",
       "      <th>t6</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eventid</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014_Hurricane_Odile_Mexico</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.027043</td>\n",
       "      <td>0.027033</td>\n",
       "      <td>0.027038</td>\n",
       "      <td>0.067501</td>\n",
       "      <td>0.595820</td>\n",
       "      <td>0.228524</td>\n",
       "      <td>0.027026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014_Philippines_Typhoon_Hagupi</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.119366</td>\n",
       "      <td>0.136584</td>\n",
       "      <td>0.142342</td>\n",
       "      <td>0.135089</td>\n",
       "      <td>0.152557</td>\n",
       "      <td>0.172776</td>\n",
       "      <td>0.142841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015_Cyclone_Pam</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.159113</td>\n",
       "      <td>0.141851</td>\n",
       "      <td>0.286166</td>\n",
       "      <td>0.215525</td>\n",
       "      <td>0.095320</td>\n",
       "      <td>0.027702</td>\n",
       "      <td>0.074331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>albertaFloods2013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.115432</td>\n",
       "      <td>0.107207</td>\n",
       "      <td>0.189555</td>\n",
       "      <td>0.257680</td>\n",
       "      <td>0.097860</td>\n",
       "      <td>0.084687</td>\n",
       "      <td>0.147589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>albertaWildfires2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.159760</td>\n",
       "      <td>0.145961</td>\n",
       "      <td>0.116644</td>\n",
       "      <td>0.186656</td>\n",
       "      <td>0.158377</td>\n",
       "      <td>0.117764</td>\n",
       "      <td>0.114829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>australiaBushfire2013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.197435</td>\n",
       "      <td>0.173929</td>\n",
       "      <td>0.107807</td>\n",
       "      <td>0.179648</td>\n",
       "      <td>0.118767</td>\n",
       "      <td>0.071981</td>\n",
       "      <td>0.150462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cycloneKenneth2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.148231</td>\n",
       "      <td>0.142328</td>\n",
       "      <td>0.190495</td>\n",
       "      <td>0.192108</td>\n",
       "      <td>0.107081</td>\n",
       "      <td>0.101133</td>\n",
       "      <td>0.118618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fireColorado2012</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.138547</td>\n",
       "      <td>0.112463</td>\n",
       "      <td>0.209323</td>\n",
       "      <td>0.186586</td>\n",
       "      <td>0.148174</td>\n",
       "      <td>0.117755</td>\n",
       "      <td>0.087115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fireYMM2016</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.077697</td>\n",
       "      <td>0.207160</td>\n",
       "      <td>0.136828</td>\n",
       "      <td>0.169315</td>\n",
       "      <td>0.113475</td>\n",
       "      <td>0.128672</td>\n",
       "      <td>0.166875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>floodChoco2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.445395</td>\n",
       "      <td>0.013658</td>\n",
       "      <td>0.166565</td>\n",
       "      <td>0.013658</td>\n",
       "      <td>0.013662</td>\n",
       "      <td>0.148656</td>\n",
       "      <td>0.198417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>floodColorado2013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.266440</td>\n",
       "      <td>0.125549</td>\n",
       "      <td>0.241032</td>\n",
       "      <td>0.192048</td>\n",
       "      <td>0.105600</td>\n",
       "      <td>0.053618</td>\n",
       "      <td>0.077889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hurricaneBarry2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.196878</td>\n",
       "      <td>0.084587</td>\n",
       "      <td>0.061775</td>\n",
       "      <td>0.356492</td>\n",
       "      <td>0.113052</td>\n",
       "      <td>0.070993</td>\n",
       "      <td>0.116224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hurricaneFlorence2018</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.143946</td>\n",
       "      <td>0.108336</td>\n",
       "      <td>0.153827</td>\n",
       "      <td>0.188451</td>\n",
       "      <td>0.180398</td>\n",
       "      <td>0.092155</td>\n",
       "      <td>0.132913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>joplinTornado2011</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.113965</td>\n",
       "      <td>0.126773</td>\n",
       "      <td>0.141672</td>\n",
       "      <td>0.171476</td>\n",
       "      <td>0.070488</td>\n",
       "      <td>0.228517</td>\n",
       "      <td>0.147158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>keralaFloods2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.151265</td>\n",
       "      <td>0.143144</td>\n",
       "      <td>0.032942</td>\n",
       "      <td>0.322900</td>\n",
       "      <td>0.099891</td>\n",
       "      <td>0.046752</td>\n",
       "      <td>0.203098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manilaFloods2013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.103666</td>\n",
       "      <td>0.087160</td>\n",
       "      <td>0.177105</td>\n",
       "      <td>0.231324</td>\n",
       "      <td>0.096645</td>\n",
       "      <td>0.127462</td>\n",
       "      <td>0.177253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>myanmarFloods2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.009524</td>\n",
       "      <td>0.178645</td>\n",
       "      <td>0.259625</td>\n",
       "      <td>0.450249</td>\n",
       "      <td>0.082935</td>\n",
       "      <td>0.009524</td>\n",
       "      <td>0.009524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>philipinnesFloods2012</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.075145</td>\n",
       "      <td>0.155337</td>\n",
       "      <td>0.245484</td>\n",
       "      <td>0.214330</td>\n",
       "      <td>0.103734</td>\n",
       "      <td>0.091785</td>\n",
       "      <td>0.114158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>queenslandFloods2013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.120643</td>\n",
       "      <td>0.106044</td>\n",
       "      <td>0.127321</td>\n",
       "      <td>0.263380</td>\n",
       "      <td>0.115112</td>\n",
       "      <td>0.109315</td>\n",
       "      <td>0.158160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>siberianWildfires2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>0.334628</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>0.109866</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>0.503712</td>\n",
       "      <td>0.012987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>southAfricaFloods2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.124467</td>\n",
       "      <td>0.271693</td>\n",
       "      <td>0.163685</td>\n",
       "      <td>0.162908</td>\n",
       "      <td>0.072362</td>\n",
       "      <td>0.100964</td>\n",
       "      <td>0.113236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>typhoonHagupit2014</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.142054</td>\n",
       "      <td>0.120780</td>\n",
       "      <td>0.148893</td>\n",
       "      <td>0.177232</td>\n",
       "      <td>0.117859</td>\n",
       "      <td>0.142639</td>\n",
       "      <td>0.150539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>typhoonKrosa2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.026616</td>\n",
       "      <td>0.277283</td>\n",
       "      <td>0.205606</td>\n",
       "      <td>0.026582</td>\n",
       "      <td>0.183646</td>\n",
       "      <td>0.128286</td>\n",
       "      <td>0.151982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>typhoonLekima2019</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.857143</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>typhoonPablo2012</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.189485</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.357869</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.357407</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>typhoonYolanda2013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.078832</td>\n",
       "      <td>0.085909</td>\n",
       "      <td>0.175436</td>\n",
       "      <td>0.286031</td>\n",
       "      <td>0.103961</td>\n",
       "      <td>0.154337</td>\n",
       "      <td>0.116092</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 climate_related        t0  ...        t5        t6\n",
       "eventid                                                     ...                    \n",
       "2014_Hurricane_Odile_Mexico                  1.0  0.027043  ...  0.228524  0.027026\n",
       "2014_Philippines_Typhoon_Hagupi              1.0  0.119366  ...  0.172776  0.142841\n",
       "2015_Cyclone_Pam                             1.0  0.159113  ...  0.027702  0.074331\n",
       "albertaFloods2013                            1.0  0.115432  ...  0.084687  0.147589\n",
       "albertaWildfires2019                         1.0  0.159760  ...  0.117764  0.114829\n",
       "australiaBushfire2013                        1.0  0.197435  ...  0.071981  0.150462\n",
       "cycloneKenneth2019                           1.0  0.148231  ...  0.101133  0.118618\n",
       "fireColorado2012                             1.0  0.138547  ...  0.117755  0.087115\n",
       "fireYMM2016                                  1.0  0.077697  ...  0.128672  0.166875\n",
       "floodChoco2019                               1.0  0.445395  ...  0.148656  0.198417\n",
       "floodColorado2013                            1.0  0.266440  ...  0.053618  0.077889\n",
       "hurricaneBarry2019                           1.0  0.196878  ...  0.070993  0.116224\n",
       "hurricaneFlorence2018                        1.0  0.143946  ...  0.092155  0.132913\n",
       "joplinTornado2011                            1.0  0.113965  ...  0.228517  0.147158\n",
       "keralaFloods2019                             1.0  0.151265  ...  0.046752  0.203098\n",
       "manilaFloods2013                             1.0  0.103666  ...  0.127462  0.177253\n",
       "myanmarFloods2019                            1.0  0.009524  ...  0.009524  0.009524\n",
       "philipinnesFloods2012                        1.0  0.075145  ...  0.091785  0.114158\n",
       "queenslandFloods2013                         1.0  0.120643  ...  0.109315  0.158160\n",
       "siberianWildfires2019                        1.0  0.012987  ...  0.503712  0.012987\n",
       "southAfricaFloods2019                        1.0  0.124467  ...  0.100964  0.113236\n",
       "typhoonHagupit2014                           1.0  0.142054  ...  0.142639  0.150539\n",
       "typhoonKrosa2019                             1.0  0.026616  ...  0.128286  0.151982\n",
       "typhoonLekima2019                            1.0  0.023810  ...  0.023810  0.023810\n",
       "typhoonPablo2012                             1.0  0.189485  ...  0.023810  0.023810\n",
       "typhoonYolanda2013                           1.0  0.078832  ...  0.154337  0.116092\n",
       "\n",
       "[26 rows x 8 columns]"
      ]
     },
     "metadata": {
      "tags": []
     },
     "execution_count": 33
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WizZdqM-VD0q"
   },
   "source": [
    "# Generating Similarity Scores and Matrix\n",
    "### **Mean and Cosine Similarity(each event with all other event-types)**\n"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "-6XJslCRWeE-"
   },
   "source": [
    "import pickle\n",
    "import logging\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
    "from sklearn.decomposition import TruncatedSVD\n",
    "from sklearn.preprocessing import MinMaxScaler, Normalizer\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from scipy import sparse\n",
    "import numpy as np\n",
    "import os.path\n",
    "import re\n",
    "from tqdm import tqdm\n",
    "import warnings\n",
    "import pandas as pd"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "M7ovyMf7WkJN"
   },
   "source": [
    "# remove irrelevant tweets\n",
    "data = pd.read_json(\"./PR_all_Labeled.json\", orient='records',lines=True)\n",
    "data.loc[(data.eventid == 'parisAttacks2015'),'event_type']='shooting'\n",
    "def label_ir_tweets(postCategories):\n",
    "\n",
    "    if 'Irrelevant' in postCategories:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "data['ir'] = [label_ir_tweets(x) for x in data['categories']]\n",
    "data=data.query(\"ir == 0\")\n",
    "data=data.query(\"label ==1\")"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "6qcaVhhLWlZe"
   },
   "source": [
    "def label_observation_tweets(postCategories):\n",
    "\n",
    "    if 'FirstPartyObservation' in postCategories or 'ThirdPartyObservation' in postCategories :\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "data['obs'] = [label_observation_tweets(x) for x in data['categories']]\n",
    "data=data.query(\"obs == 1\")\n",
    "# data=data.query(\"label ==1\")"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "WVUJ_QksWqn6"
   },
   "source": [
    "data['l'] = data.apply(lambda row: len(row['processed_text']), axis=1)\n",
    "data= data.query(\"l >1\")\n",
    "data.drop(columns=['l'], inplace=True)"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "R70lzr6FWwMk"
   },
   "source": [
    "pip install -U sentence-transformers"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "882RiHajWysw"
   },
   "source": [
    "# generate sentnece embedding\n",
    "class SBERT:\n",
    "\n",
    "    def __init__(self, lang=\"en\"):\n",
    "        from sentence_transformers import SentenceTransformer\n",
    "        self.name = \"SBERT\"\n",
    "        if lang == \"fr\":\n",
    "            self.model = SentenceTransformer(\n",
    "                \"/home/bmazoyer/Dev/pytorch_bert/output/sts_fr_long_multilingual_bert-2019-10-01_15-07-03\")\n",
    "        elif lang == \"en\":\n",
    "            self.model = SentenceTransformer(\n",
    "                # \"bert-large-nli-stsb-mean-tokens\"\n",
    "                \"roberta-large-nli-stsb-mean-tokens\"\n",
    "            )\n",
    "# roberta-large-nli-stsb-mean-tokens\n",
    "    def compute_vectors(self, data):\n",
    "        data[\"text\"] = data.text.str.slice(0, 500)\n",
    "        vectors = np.array(self.model.encode(data.text.tolist()))\n",
    "        return vectors"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "nv3JJ_CJW1JX"
   },
   "source": [
    "sbert=SBERT()"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "9IDPnWRcW5PK"
   },
   "source": [
    "v=sbert.compute_vectors(data)\n",
    "data['sbert_emb']=[item for item in v]"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "Q5k3ms2FW9My"
   },
   "source": [
    "events=[\n",
    "'2014_Philippines_Typhoon_Hagupi',\n",
    " '2015_Cyclone_Pam',\n",
    " 'albertaFloods2013',\n",
    " 'albertaWildfires2019',\n",
    " 'australiaBushfire2013',\n",
    " 'cycloneKenneth2019',\n",
    " 'fireYMM2016',\n",
    " 'hurricaneFlorence2018',\n",
    " 'keralaFloods2019',\n",
    " 'manilaFloods2013',\n",
    " 'philipinnesFloods2012',\n",
    " 'queenslandFloods2013',\n",
    " 'southAfricaFloods2019',\n",
    " 'typhoonHagupit2014',\n",
    " 'typhoonYolanda2013'\n",
    "]\n",
    "event_types=[ 'hurricane/typhoon/cyclone/tornado','flood','wildfire/bushfire']"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "w2x3adgMW-y_"
   },
   "source": [
    "from numpy import dot\n",
    "from numpy.linalg import norm"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "QT05N6hhXAac"
   },
   "source": [
    "#generate similarity scores dataframe\n",
    "event_ranks=pd.DataFrame()\n",
    "groupby_col='event_type'\n",
    "event_types=data.query(\"label==1\").groupby(\"event_type\")\n",
    "for heldout_event,g in event_types:\n",
    "\n",
    "    training = data[data[groupby_col] != heldout_event]\n",
    "    test = data[data[groupby_col] == heldout_event]\n",
    "\n",
    "    ref=np.mean(test[\"sbert_emb\"], axis=0)\n",
    "\n",
    "    grpups=training.query(\"label==1\").groupby(\"event_type\")\n",
    "    ranks={}\n",
    "    ranks[\"reference-event\"]=heldout_event\n",
    "    for name, group in grpups:\n",
    "       val=np.mean(group[\"sbert_emb\"], axis=0)\n",
    "       cos_sim = dot(ref, val)/(norm(ref)*norm(val))\n",
    "       ranks[name]=cos_sim\n",
    "\n",
    "    # event_ranks[heldout_event]=ranks\n",
    "    event_ranks = event_ranks.append(ranks, ignore_index=True)\n",
    "event_ranks.set_index(\"reference-event\",inplace=True)\n",
    "event_ranks\n"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "vyO1rHEeXC7D"
   },
   "source": [
    "event_ranks.to_csv(\"./event_ranks.csv\")\n",
    "cp -a ./event_ranks_roberta.csv gdrive/My\\ Drive/Code/"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "7ZCJ-jZfXGfk"
   },
   "source": [
    "# Visualize similarity matrix using heatmap\n",
    "import seaborn as sns\n",
    "event_ranks.set_index(\"reference-event\",inplace=True)\n",
    "p1 = sns.heatmap(event_ranks,cmap=\"YlGnBu\", annot=True)\n"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bduWnnIIUlip"
   },
   "source": [
    "# Classification Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "wktqjnBNx5Tp"
   },
   "source": [
    "%cp -a gdrive/My\\ Drive/VolunteerismTransfer/Code/evaluate.py ./\n",
    "%cp -a gdrive/My\\ Drive/VolunteerismTransfer/Code/PR_all_Labeled.json ./\n",
    "%cp -a gdrive/My\\ Drive/VolunteerismTransfer/Code/evalute_Sampling_Strategies.sh ./"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "R083ACOJyLfA"
   },
   "source": [
    "data=pd.read_json(\"./PR_all_Labeled.json\", orient='records',lines=True)"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_XJrjrGV0odi",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1622337853682,
     "user_tz": 300,
     "elapsed": 1902985,
     "user": {
      "displayName": "pooneh mousavi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjfKBf96vNg81URgRBuXe3jg06Kwdmb8gXzWWsc=s64",
      "userId": "07980475777627459411"
     }
    },
    "outputId": "ea73474e-3e19-4706-cc5f-d215e1d6d627"
   },
   "source": [
    "!bash evalute_Sampling_Strategies.sh"
   ],
   "execution_count": null,
   "outputs": [
    {
     "output_type": "stream",
     "text": [
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 264152259\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 264152259\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 208655938\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 208655938\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 151950154\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 151950154\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 9969727\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 9969727\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 50073110\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 50073110\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 233103008\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 233103008\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 235038772\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 235038772\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 210661428\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 210661428\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 63870484\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 63870484\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 240628714\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 240628714\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 198368960\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 198368960\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 205671926\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 205671926\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 134629876\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 134629876\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 106017268\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 106017268\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 58980526\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 58980526\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 230409969\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 230409969\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 203134131\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 203134131\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 221894049\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 221894049\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 7486242\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 7486242\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaFloods2013 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on albertaWildfires2019 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on australiaBushfire2013 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on cycloneKenneth2019 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on fireYMM2016 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on hurricaneFlorence2018 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on keralaFloods2019 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on manilaFloods2013 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on philipinnesFloods2012 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on queenslandFloods2013 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on southAfricaFloods2019 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonHagupit2014 with seed number 85651182\n",
      "Start evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 85651182\n",
      "finish evanulating model for sampling strategy: up-with-similarity-eventCategory with up-weighting=False  and  label spreading=none on typhoonYolanda2013 with seed number 85651182\n"
     ],
     "name": "stdout"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "bKCbbRwZfwi3"
   },
   "source": [
    "cp -a ./result/. gdrive/My\\ Drive/VolunteerismTransfer/Code/result_new/"
   ],
   "execution_count": null,
   "outputs": []
  }
 ]
}