diff --git "a/toxic-comments-classification.ipynb" "b/toxic-comments-classification.ipynb"
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-{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":8076,"databundleVersionId":44219,"sourceType":"competition"},{"sourceId":11957,"sourceType":"datasetVersion","datasetId":8542},{"sourceId":1246668,"sourceType":"datasetVersion","datasetId":715814}],"dockerImageVersionId":30015,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib as plt\nimport warnings\nwarnings.filterwarnings('ignore')\n\nimport tensorflow as tf\nfrom tensorflow.keras.preprocessing import text, sequence\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Dropout, Activation\nfrom tensorflow.keras.layers import Embedding\nfrom tensorflow.keras.layers import Conv1D, GlobalMaxPooling1D, MaxPooling1D\nfrom sklearn.model_selection import train_test_split","metadata":{"id":"PvVbtuzBsHDO","outputId":"6cfea216-0353-4032-a69d-cb5a1f915fbd","execution":{"iopub.status.busy":"2024-09-24T00:34:49.081317Z","iopub.execute_input":"2024-09-24T00:34:49.081660Z","iopub.status.idle":"2024-09-24T00:34:49.089180Z","shell.execute_reply.started":"2024-09-24T00:34:49.081630Z","shell.execute_reply":"2024-09-24T00:34:49.088065Z"},"trusted":true},"execution_count":248,"outputs":[]},{"cell_type":"code","source":"# Load data\ntrain_df=pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/train.csv.zip').fillna(' ')\ntest_df=pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test.csv.zip').fillna(' ')\ntrain_df.sample(10)","metadata":{"id":"UkOBp_TDsHDj","outputId":"3780a302-1f23-4115-bf02-f06f10da8067","execution":{"iopub.status.busy":"2024-09-24T00:34:49.094698Z","iopub.execute_input":"2024-09-24T00:34:49.095029Z","iopub.status.idle":"2024-09-24T00:34:51.362417Z","shell.execute_reply.started":"2024-09-24T00:34:49.094995Z","shell.execute_reply":"2024-09-24T00:34:51.361368Z"},"trusted":true},"execution_count":249,"outputs":[{"execution_count":249,"output_type":"execute_result","data":{"text/plain":" id comment_text \\\n126384 a3f2f7a7113d5a49 \"\\nPerhaps the same issue, much more minor of ... \n64434 ac729b5488b1993c fine well ambi2 started crashing me gain in ir... \n106517 39c7a451acb48bd8 He's written a lot of Star Wars comics, none o... \n42116 705f5feff519acb0 For all the points you have tried to make abou... \n43935 7541956a4a51724b 911 \\n\\n This message is sent to all editors... \n158468 ee715f0538c81bef \"\\n\\nFair use rationale for Image:LarryClarksC... \n149146 57d4e229ed1dcb7a hello is also in other languages but in englis... \n146431 2bfd296a53d07805 REDIRECT User talk:Visium/Archive 1 \n41453 6e9168be54003a1d Please sign your posts by typing 4 tiles. \n98485 0ed7954d4ac92219 Ah...due process. Blocked without anyone actua... \n\n toxic severe_toxic obscene threat insult identity_hate \n126384 0 0 0 0 0 0 \n64434 1 0 0 0 0 0 \n106517 0 0 0 0 0 0 \n42116 0 0 0 0 0 0 \n43935 0 0 0 0 0 0 \n158468 0 0 0 0 0 0 \n149146 0 0 0 0 0 0 \n146431 0 0 0 0 0 0 \n41453 0 0 0 0 0 0 \n98485 0 0 0 0 0 0 ","text/html":"
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126384
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\"\\nPerhaps the same issue, much more minor of ...
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fine well ambi2 started crashing me gain in ir...
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He's written a lot of Star Wars comics, none o...
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For all the points you have tried to make abou...
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911 \\n\\n This message is sent to all editors...
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\"\\n\\nFair use rationale for Image:LarryClarksC...
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hello is also in other languages but in englis...
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REDIRECT User talk:Visium/Archive 1
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Please sign your posts by typing 4 tiles.
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Ah...due process. Blocked without anyone actua...
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"},"metadata":{}}]},{"cell_type":"code","source":"x=train_df['comment_text'].values\nx","metadata":{"id":"KLqhFuE2sHDp","outputId":"673cb57d-e7b4-4c31-83e4-c29ecd071200","execution":{"iopub.status.busy":"2024-09-24T00:34:51.364558Z","iopub.execute_input":"2024-09-24T00:34:51.364955Z","iopub.status.idle":"2024-09-24T00:34:51.395104Z","shell.execute_reply.started":"2024-09-24T00:34:51.364916Z","shell.execute_reply":"2024-09-24T00:34:51.394184Z"},"trusted":true},"execution_count":250,"outputs":[{"execution_count":250,"output_type":"execute_result","data":{"text/plain":"array([\"Explanation\\nWhy the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27\",\n \"D'aww! He matches this background colour I'm seemingly stuck with. Thanks. (talk) 21:51, January 11, 2016 (UTC)\",\n \"Hey man, I'm really not trying to edit war. It's just that this guy is constantly removing relevant information and talking to me through edits instead of my talk page. He seems to care more about the formatting than the actual info.\",\n ...,\n 'Spitzer \\n\\nUmm, theres no actual article for prostitution ring. - Crunch Captain.',\n 'And it looks like it was actually you who put on the speedy to have the first version deleted now that I look at it.',\n '\"\\nAnd ... I really don\\'t think you understand. I came here and my idea was bad right away. What kind of community goes \"\"you have bad ideas\"\" go away, instead of helping rewrite them. \"'],\n dtype=object)"},"metadata":{}}]},{"cell_type":"code","source":"#Search toxic comments\ntrain_df.loc[train_df['toxic']==1]","metadata":{"id":"dLEAz9Mx7apX","outputId":"eadfbb06-40f3-4fbd-b300-ef5f7f0d94d4","execution":{"iopub.status.busy":"2024-09-24T00:34:51.396665Z","iopub.execute_input":"2024-09-24T00:34:51.396987Z","iopub.status.idle":"2024-09-24T00:34:51.417112Z","shell.execute_reply.started":"2024-09-24T00:34:51.396958Z","shell.execute_reply":"2024-09-24T00:34:51.416417Z"},"trusted":true},"execution_count":251,"outputs":[{"execution_count":251,"output_type":"execute_result","data":{"text/plain":" id comment_text \\\n6 0002bcb3da6cb337 COCKSUCKER BEFORE YOU PISS AROUND ON MY WORK \n12 0005c987bdfc9d4b Hey... what is it..\\n@ | talk .\\nWhat is it...... \n16 0007e25b2121310b Bye! \\n\\nDon't look, come or think of comming ... \n42 001810bf8c45bf5f You are gay or antisemmitian? \\n\\nArchangel WH... \n43 00190820581d90ce FUCK YOUR FILTHY MOTHER IN THE ASS, DRY! \n... ... ... \n159494 fef4cf7ba0012866 \"\\n\\n our previous conversation \\n\\nyou fuckin... \n159514 ff39a2895fc3b40e YOU ARE A MISCHIEVIOUS PUBIC HAIR \n159541 ffa33d3122b599d6 Your absurd edits \\n\\nYour absurd edits on gre... \n159546 ffb47123b2d82762 \"\\n\\nHey listen don't you ever!!!! Delete my e... \n159554 ffbdbb0483ed0841 and i'm going to keep posting the stuff u dele... \n\n toxic severe_toxic obscene threat insult identity_hate \n6 1 1 1 0 1 0 \n12 1 0 0 0 0 0 \n16 1 0 0 0 0 0 \n42 1 0 1 0 1 1 \n43 1 0 1 0 1 0 \n... ... ... ... ... ... ... \n159494 1 0 1 0 1 1 \n159514 1 0 0 0 1 0 \n159541 1 0 1 0 1 0 \n159546 1 0 0 0 1 0 \n159554 1 0 1 0 1 0 \n\n[15294 rows x 8 columns]","text/html":"
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COCKSUCKER BEFORE YOU PISS AROUND ON MY WORK
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Hey... what is it..\\n@ | talk .\\nWhat is it......
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Bye! \\n\\nDon't look, come or think of comming ...
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You are gay or antisemmitian? \\n\\nArchangel WH...
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\n"},"metadata":{}}]},{"cell_type":"code","source":"y=train_df['toxic'].values\ny","metadata":{"id":"qmfnwRYksHDu","outputId":"11b3e928-ae41-4530-eb22-63f5fd8f809d","execution":{"iopub.status.busy":"2024-09-24T00:34:52.908358Z","iopub.execute_input":"2024-09-24T00:34:52.908707Z","iopub.status.idle":"2024-09-24T00:34:52.914983Z","shell.execute_reply.started":"2024-09-24T00:34:52.908673Z","shell.execute_reply":"2024-09-24T00:34:52.914149Z"},"trusted":true},"execution_count":254,"outputs":[{"execution_count":254,"output_type":"execute_result","data":{"text/plain":"array([0, 0, 0, ..., 0, 0, 0])"},"metadata":{}}]},{"cell_type":"code","source":"# Plot frequency of toxic comments\n\nsns.countplot(x='toxic',data=train_df)\nplt.title('Distribution of Toxic Comments')","metadata":{"id":"3-pxZLFQw3VR","outputId":"ea865536-9643-455f-899d-a4ae290af3a1","execution":{"iopub.status.busy":"2024-09-24T00:34:52.916722Z","iopub.execute_input":"2024-09-24T00:34:52.917105Z","iopub.status.idle":"2024-09-24T00:34:53.039467Z","shell.execute_reply.started":"2024-09-24T00:34:52.917067Z","shell.execute_reply":"2024-09-24T00:34:53.038725Z"},"trusted":true},"execution_count":255,"outputs":[{"execution_count":255,"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Distribution of Toxic Comments')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"train_df['toxic'].value_counts()","metadata":{"id":"8v5D7BG5w_nV","outputId":"0213470a-f0d3-4077-e784-2e3a2ee09039","execution":{"iopub.status.busy":"2024-09-24T00:34:53.040434Z","iopub.execute_input":"2024-09-24T00:34:53.040681Z","iopub.status.idle":"2024-09-24T00:34:53.050005Z","shell.execute_reply.started":"2024-09-24T00:34:53.040656Z","shell.execute_reply":"2024-09-24T00:34:53.048881Z"},"trusted":true},"execution_count":256,"outputs":[{"execution_count":256,"output_type":"execute_result","data":{"text/plain":"0 144277\n1 15294\nName: toxic, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"#Data Prep — Tokenize and Pad Text Data¶\nmax_features=20000\nmax_text_length=400\n\nx_tokenizer=text.Tokenizer(max_features)\nx_tokenizer.fit_on_texts(list(x))\nx_tokenized=x_tokenizer.texts_to_sequences(x)\nx_train_val=sequence.pad_sequences(x_tokenized,maxlen=max_text_length)\nx_train_val","metadata":{"id":"51i_F9iRsHDV","execution":{"iopub.status.busy":"2024-09-24T00:34:53.051292Z","iopub.execute_input":"2024-09-24T00:34:53.051666Z","iopub.status.idle":"2024-09-24T00:35:19.860947Z","shell.execute_reply.started":"2024-09-24T00:34:53.051628Z","shell.execute_reply":"2024-09-24T00:35:19.860124Z"},"trusted":true},"execution_count":257,"outputs":[{"execution_count":257,"output_type":"execute_result","data":{"text/plain":"array([[ 0, 0, 0, ..., 4583, 2273, 985],\n [ 0, 0, 0, ..., 589, 8377, 182],\n [ 0, 0, 0, ..., 1, 737, 468],\n ...,\n [ 0, 0, 0, ..., 3509, 13675, 4528],\n [ 0, 0, 0, ..., 151, 34, 11],\n [ 0, 0, 0, ..., 1627, 2056, 88]], dtype=int32)"},"metadata":{}}]},{"cell_type":"code","source":"#Embedding Matrix with Pre-trained GloVe Embeddings\n#!wget http://nlp.stanford.edu/data/glove.6B.zip\n#!unzip -q ./glove.6B.zip.1\nembedding_dim=100\nembedding_index=dict()\nf=open('../input/glove6b100dtxt/glove.6B.100d.txt')\nfor line in f:\n values=line.split()\n word=values[0]\n coefs=np.asarray(values[1:],dtype='float32') \n embedding_index[word]=coefs\n \nf.close()\nprint(f'Found {len(embedding_index)} word vectors')","metadata":{"id":"wp8GJRoesHD9","outputId":"f2b2fb77-5248-4d4a-8182-38abb01c0b10","execution":{"iopub.status.busy":"2024-09-24T00:35:19.861976Z","iopub.execute_input":"2024-09-24T00:35:19.862258Z","iopub.status.idle":"2024-09-24T00:35:38.287544Z","shell.execute_reply.started":"2024-09-24T00:35:19.862231Z","shell.execute_reply":"2024-09-24T00:35:38.286743Z"},"trusted":true},"execution_count":258,"outputs":[{"name":"stdout","text":"Found 400000 word vectors\n","output_type":"stream"}]},{"cell_type":"code","source":"#Create embedding layer\nembedding_matrix=np.zeros((max_features,embedding_dim))\nfor word,index in x_tokenizer.word_index.items():\n if index>max_features-1:\n break\n else:\n embedding_vector=embedding_index.get(word)\n if embedding_vector is not None:\n embedding_matrix[index]=embedding_vector\n \nmodel=Sequential()\nmodel.add(Embedding(max_features,\n embedding_dim,\n embeddings_initializer=tf.keras.initializers.Constant(\n embedding_matrix),\n trainable=False))\nmodel.add(Dropout(0.2))","metadata":{"id":"TwESlTgLsLP2","execution":{"iopub.status.busy":"2024-09-24T00:35:38.288730Z","iopub.execute_input":"2024-09-24T00:35:38.289071Z","iopub.status.idle":"2024-09-24T00:35:38.364616Z","shell.execute_reply.started":"2024-09-24T00:35:38.289040Z","shell.execute_reply":"2024-09-24T00:35:38.363926Z"},"trusted":true},"execution_count":259,"outputs":[]},{"cell_type":"code","source":"#Classification model CNN\nfilters=250\nkernel_size=3\nhidden_dims=250\n\nmodel.add(Conv1D(filters,\n kernel_size,\n padding='valid'))\nmodel.add(MaxPooling1D())\nmodel.add(Conv1D(filters,\n 5,\n padding='valid',\n activation='relu'))\nmodel.add(GlobalMaxPooling1D())\nmodel.add(Dense(hidden_dims,activation='relu'))\nmodel.add(Dropout(0.2))\nmodel.add(Dense(1,activation='sigmoid'))\nmodel.summary()","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:35:38.365933Z","iopub.execute_input":"2024-09-24T00:35:38.366308Z","iopub.status.idle":"2024-09-24T00:35:38.434664Z","shell.execute_reply.started":"2024-09-24T00:35:38.366271Z","shell.execute_reply":"2024-09-24T00:35:38.433883Z"},"trusted":true},"execution_count":260,"outputs":[{"name":"stdout","text":"Model: \"sequential_16\"\n_________________________________________________________________\nLayer (type) Output Shape Param # \n=================================================================\nembedding_16 (Embedding) (None, None, 100) 2000000 \n_________________________________________________________________\ndropout_14 (Dropout) (None, None, 100) 0 \n_________________________________________________________________\nconv1d_16 (Conv1D) (None, None, 250) 75250 \n_________________________________________________________________\nmax_pooling1d_7 (MaxPooling1 (None, None, 250) 0 \n_________________________________________________________________\nconv1d_17 (Conv1D) (None, None, 250) 312750 \n_________________________________________________________________\nglobal_max_pooling1d_7 (Glob (None, 250) 0 \n_________________________________________________________________\ndense_23 (Dense) (None, 250) 62750 \n_________________________________________________________________\ndropout_15 (Dropout) (None, 250) 0 \n_________________________________________________________________\ndense_24 (Dense) (None, 1) 251 \n=================================================================\nTotal params: 2,451,001\nTrainable params: 451,001\nNon-trainable params: 2,000,000\n_________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"code","source":"model.compile(loss='binary_crossentropy',\n optimizer='adam',\n metrics=['accuracy'])","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:35:38.436012Z","iopub.execute_input":"2024-09-24T00:35:38.436289Z","iopub.status.idle":"2024-09-24T00:35:38.449486Z","shell.execute_reply.started":"2024-09-24T00:35:38.436263Z","shell.execute_reply":"2024-09-24T00:35:38.448708Z"},"trusted":true},"execution_count":261,"outputs":[]},{"cell_type":"code","source":"x_train,x_val,y_train,y_val=train_test_split(x_train_val,y,test_size=0.2,random_state=1)\nbatch_size=32\nepochs=3\nmodel.fit(x_train,y_train,\n batch_size=batch_size,\n epochs=epochs,\n validation_data=(x_val,y_val))","metadata":{"id":"ZDQkgmhOsHED","outputId":"bc527adf-9f6d-4c3f-f7a0-91f5f0790a2f","execution":{"iopub.status.busy":"2024-09-24T00:35:38.450565Z","iopub.execute_input":"2024-09-24T00:35:38.450859Z","iopub.status.idle":"2024-09-24T00:37:10.478522Z","shell.execute_reply.started":"2024-09-24T00:35:38.450831Z","shell.execute_reply":"2024-09-24T00:37:10.477655Z"},"trusted":true},"execution_count":262,"outputs":[{"name":"stdout","text":"Epoch 1/3\n3990/3990 [==============================] - 30s 8ms/step - loss: 0.1547 - accuracy: 0.9440 - val_loss: 0.1247 - val_accuracy: 0.9528\nEpoch 2/3\n3990/3990 [==============================] - 30s 8ms/step - loss: 0.1331 - accuracy: 0.9516 - val_loss: 0.1220 - val_accuracy: 0.9551\nEpoch 3/3\n3990/3990 [==============================] - 30s 8ms/step - loss: 0.1261 - accuracy: 0.9535 - val_loss: 0.1234 - val_accuracy: 0.9554\n","output_type":"stream"},{"execution_count":262,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}}]},{"cell_type":"code","source":"test_df=pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test.csv.zip')\ntest_df","metadata":{"id":"9J54v6q0UEVM","outputId":"7e6fdd2a-6a7f-422a-e1bf-aac493c32b9e","execution":{"iopub.status.busy":"2024-09-24T00:37:10.479863Z","iopub.execute_input":"2024-09-24T00:37:10.480248Z","iopub.status.idle":"2024-09-24T00:37:11.562063Z","shell.execute_reply.started":"2024-09-24T00:37:10.480215Z","shell.execute_reply":"2024-09-24T00:37:11.561264Z"},"trusted":true},"execution_count":263,"outputs":[{"execution_count":263,"output_type":"execute_result","data":{"text/plain":" id comment_text\n0 00001cee341fdb12 Yo bitch Ja Rule is more succesful then you'll...\n1 0000247867823ef7 == From RfC == \\n\\n The title is fine as it is...\n2 00013b17ad220c46 \" \\n\\n == Sources == \\n\\n * Zawe Ashton on Lap...\n3 00017563c3f7919a :If you have a look back at the source, the in...\n4 00017695ad8997eb I don't anonymously edit articles at all.\n... ... ...\n153159 fffcd0960ee309b5 . \\n i totally agree, this stuff is nothing bu...\n153160 fffd7a9a6eb32c16 == Throw from out field to home plate. == \\n\\n...\n153161 fffda9e8d6fafa9e \" \\n\\n == Okinotorishima categories == \\n\\n I ...\n153162 fffe8f1340a79fc2 \" \\n\\n == \"\"One of the founding nations of the...\n153163 ffffce3fb183ee80 \" \\n :::Stop already. Your bullshit is not wel...\n\n[153164 rows x 2 columns]","text/html":"
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Yo bitch Ja Rule is more succesful then you'll...
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== From RfC == \\n\\n The title is fine as it is...
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"},"metadata":{}}]},{"cell_type":"code","source":"x_test=test_df['comment_text'].values\nx_test_tokenized=x_tokenizer.texts_to_sequences(x_test)\nx_testing=sequence.pad_sequences(x_test_tokenized,maxlen=max_text_length)","metadata":{"id":"iNisHnvRsHEK","execution":{"iopub.status.busy":"2024-09-24T00:37:11.563376Z","iopub.execute_input":"2024-09-24T00:37:11.563660Z","iopub.status.idle":"2024-09-24T00:37:24.559709Z","shell.execute_reply.started":"2024-09-24T00:37:11.563632Z","shell.execute_reply":"2024-09-24T00:37:24.558970Z"},"trusted":true},"execution_count":264,"outputs":[]},{"cell_type":"code","source":"y_testing=model.predict(x_testing,verbose=1,batch_size=32)","metadata":{"id":"4u5at1KRsHEU","execution":{"iopub.status.busy":"2024-09-24T00:37:24.561002Z","iopub.execute_input":"2024-09-24T00:37:24.561397Z","iopub.status.idle":"2024-09-24T00:37:39.138156Z","shell.execute_reply.started":"2024-09-24T00:37:24.561358Z","shell.execute_reply":"2024-09-24T00:37:39.137337Z"},"trusted":true},"execution_count":265,"outputs":[{"name":"stdout","text":"4787/4787 [==============================] - 14s 3ms/step\n","output_type":"stream"}]},{"cell_type":"code","source":"y_testing.shape\ny_testing[0]","metadata":{"id":"kvgZCuCZsHEZ","outputId":"79ad98e0-52ec-4cdd-dc83-67cf3ca7ee29","execution":{"iopub.status.busy":"2024-09-24T00:37:39.141238Z","iopub.execute_input":"2024-09-24T00:37:39.141621Z","iopub.status.idle":"2024-09-24T00:37:39.147305Z","shell.execute_reply.started":"2024-09-24T00:37:39.141589Z","shell.execute_reply":"2024-09-24T00:37:39.146420Z"},"trusted":true},"execution_count":266,"outputs":[{"execution_count":266,"output_type":"execute_result","data":{"text/plain":"array([0.99967647], dtype=float32)"},"metadata":{}}]},{"cell_type":"code","source":"test_df['Toxic']=['Not Toxic' if x<0.5 else 'Toxic' for x in y_testing]\ntest_df[['comment_text','Toxic']].head(20)","metadata":{"id":"rYejiiqUG64C","outputId":"60250ec7-365d-4e39-9600-a4bcf72e63e3","execution":{"iopub.status.busy":"2024-09-24T00:37:39.148516Z","iopub.execute_input":"2024-09-24T00:37:39.148788Z","iopub.status.idle":"2024-09-24T00:37:39.518235Z","shell.execute_reply.started":"2024-09-24T00:37:39.148745Z","shell.execute_reply":"2024-09-24T00:37:39.517434Z"},"trusted":true},"execution_count":267,"outputs":[{"execution_count":267,"output_type":"execute_result","data":{"text/plain":" comment_text Toxic\n0 Yo bitch Ja Rule is more succesful then you'll... Toxic\n1 == From RfC == \\n\\n The title is fine as it is... Not Toxic\n2 \" \\n\\n == Sources == \\n\\n * Zawe Ashton on Lap... Not Toxic\n3 :If you have a look back at the source, the in... Not Toxic\n4 I don't anonymously edit articles at all. Not Toxic\n5 Thank you for understanding. I think very high... Not Toxic\n6 Please do not add nonsense to Wikipedia. Such ... Not Toxic\n7 :Dear god this site is horrible. Toxic\n8 \" \\n Only a fool can believe in such numbers. ... Toxic\n9 == Double Redirects == \\n\\n When fixing double... Not Toxic\n10 I think its crap that the link to roggenbier i... Toxic\n11 \"::: Somebody will invariably try to add Relig... Not Toxic\n12 , 25 February 2010 (UTC) \\n\\n :::Looking it ov... Not Toxic\n13 \" \\n\\n It says it right there that it IS a typ... Not Toxic\n14 \" \\n\\n == Before adding a new product to the l... Not Toxic\n15 ==Current Position== \\n Anyone have confirmati... Not Toxic\n16 this other one from 1897 Not Toxic\n17 == Reason for banning throwing == \\n\\n This ar... Not Toxic\n18 :: Wallamoose was changing the cited material ... Not Toxic\n19 |blocked]] from editing Wikipedia. | Not Toxic","text/html":"
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Yo bitch Ja Rule is more succesful then you'll...
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== From RfC == \\n\\n The title is fine as it is...
"},"metadata":{}}]},{"cell_type":"code","source":"test_df.head()","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:37:39.746613Z","iopub.execute_input":"2024-09-24T00:37:39.746954Z","iopub.status.idle":"2024-09-24T00:37:39.759588Z","shell.execute_reply.started":"2024-09-24T00:37:39.746924Z","shell.execute_reply":"2024-09-24T00:37:39.758601Z"},"trusted":true},"execution_count":271,"outputs":[{"execution_count":271,"output_type":"execute_result","data":{"text/plain":" id comment_text \\\n5 0001ea8717f6de06 Thank you for understanding. I think very high... \n7 000247e83dcc1211 :Dear god this site is horrible. \n11 0002f87b16116a7f \"::: Somebody will invariably try to add Relig... \n13 0003e1cccfd5a40a \" \\n\\n It says it right there that it IS a typ... \n14 00059ace3e3e9a53 \" \\n\\n == Before adding a new product to the l... \n\n Toxic \n5 Not Toxic \n7 Toxic \n11 Not Toxic \n13 Not Toxic \n14 Not Toxic ","text/html":"
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Thank you for understanding. I think very high...
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:Dear god this site is horrible.
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"},"metadata":{}}]},{"cell_type":"code","source":"y_test=y_test['toxic']\ny_test.head()","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:37:39.760789Z","iopub.execute_input":"2024-09-24T00:37:39.761109Z","iopub.status.idle":"2024-09-24T00:37:39.770683Z","shell.execute_reply.started":"2024-09-24T00:37:39.761080Z","shell.execute_reply":"2024-09-24T00:37:39.769714Z"},"trusted":true},"execution_count":272,"outputs":[{"execution_count":272,"output_type":"execute_result","data":{"text/plain":"5 0\n7 0\n11 0\n13 0\n14 0\nName: toxic, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"test_df['Toxic']=[1 if x==\"Toxic\" else 0 for x in test_df['Toxic']]\ntest_df=test_df['Toxic']\ntest_df.head()","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:37:39.772043Z","iopub.execute_input":"2024-09-24T00:37:39.772417Z","iopub.status.idle":"2024-09-24T00:37:39.828993Z","shell.execute_reply.started":"2024-09-24T00:37:39.772377Z","shell.execute_reply":"2024-09-24T00:37:39.828135Z"},"trusted":true},"execution_count":273,"outputs":[{"execution_count":273,"output_type":"execute_result","data":{"text/plain":"5 0\n7 1\n11 0\n13 0\n14 0\nName: Toxic, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score,confusion_matrix,f1_score\nprint('Test Data Accuracy Score',accuracy_score(y_test,test_df)*100)\n#confusion_matrix(y_test,test_df)\nprint('Test Data F1 Score ',f1_score(y_test,test_df))","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:37:39.830350Z","iopub.execute_input":"2024-09-24T00:37:39.830719Z","iopub.status.idle":"2024-09-24T00:37:39.859950Z","shell.execute_reply.started":"2024-09-24T00:37:39.830687Z","shell.execute_reply":"2024-09-24T00:37:39.859172Z"},"trusted":true},"execution_count":274,"outputs":[{"name":"stdout","text":"Test Data Accuracy Score 91.79249116883929\nTest Data F1 Score 0.6336426428521594\n","output_type":"stream"}]},{"cell_type":"code","source":"#Classification model LSTM\nimport tensorflow as tf\nfrom tensorflow.keras.preprocessing import text, sequence\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, LSTM, Embedding, SpatialDropout1D\nfrom tensorflow.keras.callbacks import EarlyStopping\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score, confusion_matrix, f1_score, classification_report\n\n# Load data\ntrain_df = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/train.csv.zip').fillna(' ')\ntest_df = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test.csv.zip').fillna(' ')\ny_truth = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test_labels.csv.zip')\nx = train_df['comment_text'].values\ny = train_df['toxic'].values\n\n# Split the data into training and validation sets\nx_train, x_val, y_train, y_val = train_test_split(x, y, test_size=0.2, random_state=1)\n\n# Tokenization and Padding\nmax_features = 20000\nmax_text_length = 400\n\ntokenizer = text.Tokenizer(num_words=max_features)\ntokenizer.fit_on_texts(x_train)\nx_train_seq = tokenizer.texts_to_sequences(x_train)\nx_val_seq = tokenizer.texts_to_sequences(x_val)\n\nx_train_pad = sequence.pad_sequences(x_train_seq, maxlen=max_text_length)\nx_val_pad = sequence.pad_sequences(x_val_seq, maxlen=max_text_length)\n\n# LSTM model\nmodel = Sequential()\nmodel.add(Embedding(max_features, 128, input_length=max_text_length))\nmodel.add(SpatialDropout1D(0.2))\nmodel.add(LSTM(3, dropout=0.2, recurrent_dropout=0.2))\nmodel.add(Dense(1, activation='sigmoid'))\n\nmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\nmodel.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:37:39.861311Z","iopub.execute_input":"2024-09-24T00:37:39.861610Z","iopub.status.idle":"2024-09-24T00:38:06.256066Z","shell.execute_reply.started":"2024-09-24T00:37:39.861581Z","shell.execute_reply":"2024-09-24T00:38:06.255216Z"},"trusted":true},"execution_count":275,"outputs":[{"name":"stdout","text":"Model: \"sequential_17\"\n_________________________________________________________________\nLayer (type) Output Shape Param # \n=================================================================\nembedding_17 (Embedding) (None, 400, 128) 2560000 \n_________________________________________________________________\nspatial_dropout1d_9 (Spatial (None, 400, 128) 0 \n_________________________________________________________________\nlstm_9 (LSTM) (None, 3) 1584 \n_________________________________________________________________\ndense_25 (Dense) (None, 1) 4 \n=================================================================\nTotal params: 2,561,588\nTrainable params: 2,561,588\nNon-trainable params: 0\n_________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"code","source":"x_train,x_val,y_train,y_val=train_test_split(x_train_val,y,test_size=0.2,random_state=1)\nbatch_size=1024\nepochs=1\nmodel.fit(x_train,y_train,\n batch_size=batch_size,\n epochs=epochs,\n validation_data=(x_val,y_val))","metadata":{"execution":{"iopub.status.busy":"2024-09-24T00:56:22.644322Z","iopub.execute_input":"2024-09-24T00:56:22.644646Z","iopub.status.idle":"2024-09-24T00:58:59.908286Z","shell.execute_reply.started":"2024-09-24T00:56:22.644618Z","shell.execute_reply":"2024-09-24T00:58:59.907260Z"},"trusted":true},"execution_count":285,"outputs":[{"name":"stdout","text":"125/125 [==============================] - 156s 1s/step - loss: 0.1583 - accuracy: 0.9432 - val_loss: 0.1538 - val_accuracy: 0.9445\n","output_type":"stream"},{"execution_count":285,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}}]},{"cell_type":"code","source":"# Tokenize and pad the test data\nx_test = test_df['comment_text'].values\nx_test_tokenized = tokenizer.texts_to_sequences(x_test)\nx_testing = sequence.pad_sequences(x_test_seq, maxlen=max_text_length)","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:09:02.590870Z","iopub.execute_input":"2024-09-24T01:09:02.591205Z","iopub.status.idle":"2024-09-24T01:09:14.405336Z","shell.execute_reply.started":"2024-09-24T01:09:02.591175Z","shell.execute_reply":"2024-09-24T01:09:14.404600Z"},"trusted":true},"execution_count":290,"outputs":[]},{"cell_type":"code","source":"y_testing=model.predict(x_testing,verbose=1,batch_size=1024)","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:09:26.800538Z","iopub.execute_input":"2024-09-24T01:09:26.800887Z","iopub.status.idle":"2024-09-24T01:09:42.184704Z","shell.execute_reply.started":"2024-09-24T01:09:26.800858Z","shell.execute_reply":"2024-09-24T01:09:42.184042Z"},"trusted":true},"execution_count":292,"outputs":[{"name":"stdout","text":"150/150 [==============================] - 15s 100ms/step\n","output_type":"stream"}]},{"cell_type":"code","source":"y_testing.shape\ny_testing[0]","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:09:47.949342Z","iopub.execute_input":"2024-09-24T01:09:47.949681Z","iopub.status.idle":"2024-09-24T01:09:47.955626Z","shell.execute_reply.started":"2024-09-24T01:09:47.949652Z","shell.execute_reply":"2024-09-24T01:09:47.954707Z"},"trusted":true},"execution_count":293,"outputs":[{"execution_count":293,"output_type":"execute_result","data":{"text/plain":"array([0.02563862], dtype=float32)"},"metadata":{}}]},{"cell_type":"code","source":"test_df['Toxic']=['Not Toxic' if x<0.5 else 'Toxic' for x in y_testing]\ntest_df[['comment_text','Toxic']].head(20)","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:10:07.371179Z","iopub.execute_input":"2024-09-24T01:10:07.371518Z","iopub.status.idle":"2024-09-24T01:10:07.733166Z","shell.execute_reply.started":"2024-09-24T01:10:07.371488Z","shell.execute_reply":"2024-09-24T01:10:07.732279Z"},"trusted":true},"execution_count":294,"outputs":[{"execution_count":294,"output_type":"execute_result","data":{"text/plain":" comment_text Toxic\n0 Yo bitch Ja Rule is more succesful then you'll... Not Toxic\n1 == From RfC == \\n\\n The title is fine as it is... Not Toxic\n2 \" \\n\\n == Sources == \\n\\n * Zawe Ashton on Lap... Not Toxic\n3 :If you have a look back at the source, the in... Not Toxic\n4 I don't anonymously edit articles at all. Not Toxic\n5 Thank you for understanding. I think very high... Not Toxic\n6 Please do not add nonsense to Wikipedia. Such ... Not Toxic\n7 :Dear god this site is horrible. Not Toxic\n8 \" \\n Only a fool can believe in such numbers. ... Not Toxic\n9 == Double Redirects == \\n\\n When fixing double... Not Toxic\n10 I think its crap that the link to roggenbier i... Not Toxic\n11 \"::: Somebody will invariably try to add Relig... Not Toxic\n12 , 25 February 2010 (UTC) \\n\\n :::Looking it ov... Not Toxic\n13 \" \\n\\n It says it right there that it IS a typ... Not Toxic\n14 \" \\n\\n == Before adding a new product to the l... Not Toxic\n15 ==Current Position== \\n Anyone have confirmati... Not Toxic\n16 this other one from 1897 Not Toxic\n17 == Reason for banning throwing == \\n\\n This ar... Not Toxic\n18 :: Wallamoose was changing the cited material ... Not Toxic\n19 |blocked]] from editing Wikipedia. | Not Toxic","text/html":"
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"},"metadata":{}}]},{"cell_type":"code","source":"test_df.head()","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:11:19.501109Z","iopub.execute_input":"2024-09-24T01:11:19.501489Z","iopub.status.idle":"2024-09-24T01:11:19.512533Z","shell.execute_reply.started":"2024-09-24T01:11:19.501453Z","shell.execute_reply":"2024-09-24T01:11:19.511587Z"},"trusted":true},"execution_count":298,"outputs":[{"execution_count":298,"output_type":"execute_result","data":{"text/plain":" id comment_text \\\n5 0001ea8717f6de06 Thank you for understanding. I think very high... \n7 000247e83dcc1211 :Dear god this site is horrible. \n11 0002f87b16116a7f \"::: Somebody will invariably try to add Relig... \n13 0003e1cccfd5a40a \" \\n\\n It says it right there that it IS a typ... \n14 00059ace3e3e9a53 \" \\n\\n == Before adding a new product to the l... \n\n Toxic \n5 Not Toxic \n7 Not Toxic \n11 Not Toxic \n13 Not Toxic \n14 Not Toxic ","text/html":"
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Thank you for understanding. I think very high...
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:Dear god this site is horrible.
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\n
"},"metadata":{}}]},{"cell_type":"code","source":"y_test=y_test['toxic']\ny_test.head()","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:11:34.335585Z","iopub.execute_input":"2024-09-24T01:11:34.335949Z","iopub.status.idle":"2024-09-24T01:11:34.342740Z","shell.execute_reply.started":"2024-09-24T01:11:34.335916Z","shell.execute_reply":"2024-09-24T01:11:34.341927Z"},"trusted":true},"execution_count":299,"outputs":[{"execution_count":299,"output_type":"execute_result","data":{"text/plain":"5 0\n7 0\n11 0\n13 0\n14 0\nName: toxic, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"test_df['Toxic']=[1 if x==\"Toxic\" else 0 for x in test_df['Toxic']]\ntest_df=test_df['Toxic']\ntest_df.head()","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:11:46.062121Z","iopub.execute_input":"2024-09-24T01:11:46.062484Z","iopub.status.idle":"2024-09-24T01:11:46.119185Z","shell.execute_reply.started":"2024-09-24T01:11:46.062449Z","shell.execute_reply":"2024-09-24T01:11:46.118231Z"},"trusted":true},"execution_count":300,"outputs":[{"execution_count":300,"output_type":"execute_result","data":{"text/plain":"5 0\n7 0\n11 0\n13 0\n14 0\nName: Toxic, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"print('Test Data Accuracy Score',accuracy_score(y_test,test_df)*100)\n#confusion_matrix(y_test,test_df)\nprint('Test Data F1 Score ',f1_score(y_test,test_df))","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:12:06.072915Z","iopub.execute_input":"2024-09-24T01:12:06.073292Z","iopub.status.idle":"2024-09-24T01:12:06.100939Z","shell.execute_reply.started":"2024-09-24T01:12:06.073252Z","shell.execute_reply":"2024-09-24T01:12:06.100189Z"},"trusted":true},"execution_count":301,"outputs":[{"name":"stdout","text":"Test Data Accuracy Score 87.08774891368908\nTest Data F1 Score 0.07043996849330483\n","output_type":"stream"}]},{"cell_type":"code","source":"#Classification model LogisticRegression\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score, confusion_matrix, f1_score, classification_report\n\n# Load train and test data\ntrain_df = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/train.csv.zip').fillna(' ')\ntest_df = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test.csv.zip').fillna(' ')\ny_truth = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test_labels.csv.zip')\nx = train_df['comment_text'].values\ny = train_df['toxic'].values\n\n# Split Data\nx_train, x_val, y_train, y_val = train_test_split(x, y, test_size=0.2, random_state=1)\n\n# TF-IDF Vectorizer\ntfidf = TfidfVectorizer(max_features=20000)\nx_train_tfidf = tfidf.fit_transform(x_train)\nx_val_tfidf = tfidf.transform(x_val)\n\n# Logistic Regression model\nlog_reg = LogisticRegression(max_iter=1000)\nlog_reg.fit(x_train_tfidf, y_train)\nprint(\"Coefficients:\", log_reg.coef_)\nprint(\"Intercept:\", log_reg.intercept_)\n","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:43:09.823638Z","iopub.execute_input":"2024-09-24T01:43:09.824009Z","iopub.status.idle":"2024-09-24T01:43:31.117633Z","shell.execute_reply.started":"2024-09-24T01:43:09.823975Z","shell.execute_reply":"2024-09-24T01:43:31.116849Z"},"trusted":true},"execution_count":329,"outputs":[{"name":"stdout","text":"Coefficients: [[ 0.28400237 -0.61346009 -0.08262082 ... 0.07066194 0.07066194\n 0.07066194]]\nIntercept: [-2.67989396]\n","output_type":"stream"}]},{"cell_type":"code","source":"#Test data with true labels\ntest_with_labels = test_df.merge(y_truth, on='id')\ntest_with_labels = test_with_labels[test_with_labels['toxic'] != -1]\nx_test = test_with_labels['comment_text'].values\ny_test = test_with_labels['toxic'].values\n\n# Transform test data using the trained TF-IDF vectorizer\nx_test_tfidf = tfidf.transform(x_test)\n\n# Predict on test data\ny_testing = log_reg.predict(x_test_tfidf)\n\ntest_with_labels['Predicted Toxic'] = y_testing\ntest_with_labels['Predicted Toxic'] = test_with_labels['Predicted Toxic'].map({1: 'Toxic', 0: 'Not Toxic'})\nprint(test_with_labels[['comment_text', 'toxic']].head(20))\n","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:43:33.590829Z","iopub.execute_input":"2024-09-24T01:43:33.591199Z","iopub.status.idle":"2024-09-24T01:43:39.433060Z","shell.execute_reply.started":"2024-09-24T01:43:33.591165Z","shell.execute_reply":"2024-09-24T01:43:39.432152Z"},"trusted":true},"execution_count":330,"outputs":[{"name":"stdout","text":" comment_text toxic\n5 Thank you for understanding. I think very high... 0\n7 :Dear god this site is horrible. 0\n11 \"::: Somebody will invariably try to add Relig... 0\n13 \" \\n\\n It says it right there that it IS a typ... 0\n14 \" \\n\\n == Before adding a new product to the l... 0\n16 this other one from 1897 0\n17 == Reason for banning throwing == \\n\\n This ar... 0\n19 |blocked]] from editing Wikipedia. | 0\n21 == Arabs are committing genocide in Iraq, but ... 1\n22 Please stop. If you continue to vandalize Wiki... 0\n23 == Energy == \\n\\n I have edited the introduct... 0\n26 @RedSlash, cut it short. If you have sources s... 0\n28 . \\n\\n Jews are not a race because y... 0\n29 :::If Ollie or others think that one list of t... 0\n31 Professors to the Manhatten Project. 0\n33 \" \\n\\n :Not sure whether this is notable enoug... 0\n34 일이삼사오육칠팔구하고십이요 에헤헤 으헤 으헤 으허허 0\n38 \" \\n\\n ==balance== \\n This page has one senten... 0\n40 REDIRECT Talk:Mi Vida Eres Tú 0\n41 \" \\n I'm not convinced that he was blind. Wher... 0\n","output_type":"stream"}]},{"cell_type":"code","source":"# Evaluate\ntest_accuracy = accuracy_score(y_test, y_testing)\ntest_f1 = f1_score(y_test, y_testing)\n\nprint(f\"Test Data Accuracy Score: {test_accuracy * 100:.2f}%\")\nprint(f\"Test Data F1 Score: {test_f1:.2f}\")\n\nconf_matrix_test = confusion_matrix(y_test, y_testing)\nsns.heatmap(conf_matrix_test, annot=True, fmt=\"d\", cmap=\"Blues\")\nplt.title('Confusion Matrix for Logistic Regression (Test Data)')\nplt.ylabel('Actual Label')\nplt.xlabel('Predicted Label')\nplt.show()\n\nprint('Test Data Classification Report:')\nprint(classification_report(y_test, y_testing))","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:45:13.500605Z","iopub.execute_input":"2024-09-24T01:45:13.500962Z","iopub.status.idle":"2024-09-24T01:45:13.849560Z","shell.execute_reply.started":"2024-09-24T01:45:13.500930Z","shell.execute_reply":"2024-09-24T01:45:13.848756Z"},"trusted":true},"execution_count":331,"outputs":[{"name":"stdout","text":"Test Data Accuracy Score: 93.82%\nTest Data F1 Score: 0.67\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"","image/png":"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\n"},"metadata":{"needs_background":"light"}},{"name":"stdout","text":"Test Data Classification Report:\n precision recall f1-score support\n\n 0 0.97 0.97 0.97 57888\n 1 0.68 0.67 0.67 6090\n\n accuracy 0.94 63978\n macro avg 0.82 0.82 0.82 63978\nweighted avg 0.94 0.94 0.94 63978\n\n","output_type":"stream"}]},{"cell_type":"code","source":"# Classification model Random Forest\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score, confusion_matrix, f1_score, classification_report\n\n# Load train and test data\ntrain_df = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/train.csv.zip').fillna(' ')\ntest_df = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test.csv.zip').fillna(' ')\ny_truth = pd.read_csv('/kaggle/input/jigsaw-toxic-comment-classification-challenge/test_labels.csv.zip')\nx = train_df['comment_text'].values\ny = train_df['toxic'].values\n\n# Split Data\nx_train, x_val, y_train, y_val = train_test_split(x, y, test_size=0.2, random_state=1)\n\n# TF-IDF Vectorizer\ntfidf = TfidfVectorizer(max_features=20000)\nx_train_tfidf = tfidf.fit_transform(x_train)\nx_val_tfidf = tfidf.transform(x_val)\n\n# Random Forest model\nrf_model = RandomForestClassifier(n_estimators=20, random_state=1)\nrf_model.fit(x_train_tfidf, y_train)","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:55:05.436871Z","iopub.execute_input":"2024-09-24T01:55:05.437253Z","iopub.status.idle":"2024-09-24T01:56:33.641093Z","shell.execute_reply.started":"2024-09-24T01:55:05.437217Z","shell.execute_reply":"2024-09-24T01:56:33.640311Z"},"trusted":true},"execution_count":340,"outputs":[{"execution_count":340,"output_type":"execute_result","data":{"text/plain":"RandomForestClassifier(n_estimators=20, random_state=1)"},"metadata":{}}]},{"cell_type":"code","source":"# Test data with true labels\ntest_with_labels = test_df.merge(y_truth, on='id')\ntest_with_labels = test_with_labels[test_with_labels['toxic'] != -1]\nx_test = test_with_labels['comment_text'].values\ny_test = test_with_labels['toxic'].values\n\n# Transform test data using the trained TF-IDF vectorizer\nx_test_tfidf = tfidf.transform(x_test)\n\n# Predict on test data\ny_testing = rf_model.predict(x_test_tfidf)\n\n# Display predicted results\ntest_with_labels['Predicted Toxic'] = y_testing\ntest_with_labels['Predicted Toxic'] = test_with_labels['Predicted Toxic'].map({1: 'Toxic', 0: 'Not Toxic'})\nprint(test_with_labels[['comment_text', 'toxic', 'Predicted Toxic']].head(20))","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:57:14.958561Z","iopub.execute_input":"2024-09-24T01:57:14.958911Z","iopub.status.idle":"2024-09-24T01:57:21.935698Z","shell.execute_reply.started":"2024-09-24T01:57:14.958880Z","shell.execute_reply":"2024-09-24T01:57:21.934807Z"},"trusted":true},"execution_count":341,"outputs":[{"name":"stdout","text":" comment_text toxic Predicted Toxic\n5 Thank you for understanding. I think very high... 0 Not Toxic\n7 :Dear god this site is horrible. 0 Not Toxic\n11 \"::: Somebody will invariably try to add Relig... 0 Not Toxic\n13 \" \\n\\n It says it right there that it IS a typ... 0 Not Toxic\n14 \" \\n\\n == Before adding a new product to the l... 0 Not Toxic\n16 this other one from 1897 0 Not Toxic\n17 == Reason for banning throwing == \\n\\n This ar... 0 Not Toxic\n19 |blocked]] from editing Wikipedia. | 0 Not Toxic\n21 == Arabs are committing genocide in Iraq, but ... 1 Not Toxic\n22 Please stop. If you continue to vandalize Wiki... 0 Not Toxic\n23 == Energy == \\n\\n I have edited the introduct... 0 Not Toxic\n26 @RedSlash, cut it short. If you have sources s... 0 Not Toxic\n28 . \\n\\n Jews are not a race because y... 0 Not Toxic\n29 :::If Ollie or others think that one list of t... 0 Not Toxic\n31 Professors to the Manhatten Project. 0 Not Toxic\n33 \" \\n\\n :Not sure whether this is notable enoug... 0 Not Toxic\n34 일이삼사오육칠팔구하고십이요 에헤헤 으헤 으헤 으허허 0 Not Toxic\n38 \" \\n\\n ==balance== \\n This page has one senten... 0 Not Toxic\n40 REDIRECT Talk:Mi Vida Eres Tú 0 Not Toxic\n41 \" \\n I'm not convinced that he was blind. Wher... 0 Not Toxic\n","output_type":"stream"}]},{"cell_type":"code","source":"# Evaluate\ntest_accuracy = accuracy_score(y_test, y_testing)\ntest_f1 = f1_score(y_test, y_testing)\n\nprint(f\"Test Data Accuracy Score: {test_accuracy * 100:.2f}%\")\nprint(f\"Test Data F1 Score: {test_f1:.2f}\")\n\nconf_matrix_test = confusion_matrix(y_test, y_testing)\nsns.heatmap(conf_matrix_test, annot=True, fmt=\"d\", cmap=\"Blues\")\nplt.title('Confusion Matrix for Logistic Regression (Test Data)')\nplt.ylabel('Actual Label')\nplt.xlabel('Predicted Label')\nplt.show()\n\nprint('Test Data Classification Report:')\nprint(classification_report(y_test, y_testing))","metadata":{"execution":{"iopub.status.busy":"2024-09-24T01:57:41.622975Z","iopub.execute_input":"2024-09-24T01:57:41.623306Z","iopub.status.idle":"2024-09-24T01:57:41.984089Z","shell.execute_reply.started":"2024-09-24T01:57:41.623277Z","shell.execute_reply":"2024-09-24T01:57:41.983168Z"},"trusted":true},"execution_count":343,"outputs":[{"name":"stdout","text":"Test Data Accuracy Score: 93.64%\nTest Data F1 Score: 0.63\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"","image/png":"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\n"},"metadata":{"needs_background":"light"}},{"name":"stdout","text":"Test Data Classification Report:\n precision recall f1-score support\n\n 0 0.96 0.97 0.97 57888\n 1 0.70 0.58 0.63 6090\n\n accuracy 0.94 63978\n macro avg 0.83 0.78 0.80 63978\nweighted avg 0.93 0.94 0.93 63978\n\n","output_type":"stream"}]}]}
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