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redwanul islam","userId":"08565280838879170063"}}},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import re\n","import nltk\n","import time\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import torch\n","import shap\n","from collections import Counter\n","\n","from datasets import load_dataset, Dataset\n","from nltk.corpus import stopwords\n","from nltk.stem import WordNetLemmatizer\n","from scipy.special import softmax\n","\n","from sklearn.feature_extraction.text import TfidfVectorizer\n","from sklearn.svm import LinearSVC\n","from sklearn.model_selection import train_test_split, GridSearchCV\n","from sklearn.pipeline import Pipeline\n","from sklearn.metrics import (accuracy_score, precision_score, recall_score,\n","                             f1_score, confusion_matrix, roc_curve, auc)\n","\n","from transformers import (AutoTokenizer, AutoModelForSequenceClassification,\n","                          Trainer, TrainingArguments, pipeline,\n","                          EarlyStoppingCallback)\n","\n","plt.style.use('seaborn-v0_8-whitegrid')"],"id":"JG6oi2CX_bfi"},{"cell_type":"markdown","metadata":{"id":"pwLFM0ms_bfm"},"source":["## 1. Loading the Data & Initial EDA"],"id":"pwLFM0ms_bfm"},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["49090bb3568a42c2bf1048a0f4c811c1","f424faf937cf4ce09200619716624dc2","013f0a64571b4c4a9b16a8ed64baedd5","a3990802da0542699725c1c49c0e5240","cb32f9e5bcf940a4869f00552a99be4b","16ed31bbd639490d95873beef82cf253","6d50e0bbaa804b4ea264b7f79110a8aa","836769926abf41419eb9183e567f2f59","fe14b14b34ad4b78bce12ec3f0abced2","d77afbe634e64a96aa73fe9553a46317","58e3bb73f10c4f9bbc7fb4524c7fc4f5","2baae0b554ae45aeb7ab16d4fdce592d","df67f4cef27f4fc0b67f5e7b0147d814","0dde66ce32a14cf58f369b9ea6e826a8","b844b30c7c0d44c1bb3e012e6b9dc7f0","aec02fdc1f8a47e5929b0ca43a5dc0be","431a603fb99841ca9270210d7bfcaea4","1ed1bf04fe5a4f15b2acae4d0c66b54e","2be6ce66d6784d9ba6cae9becf90c705","ecc56172e3214e0db00e84705460407f","75ed7adf05cf442e942117fff800559d","06e96a808c484b40a5031d755e0e0a83","5067f9b3090049e5a958dd11b4899094","6a97480664e940cb8d62eb0328715777","5e49c7cf8b934536953c623952cbc28f","54e208b195cc4c7a8b318178bad76b66","4760700cb5a24873b3ad4e73f2080434","c662c1149a5e4cacb8750d77047cc1d2","6e0982f14fdd49ca8bef67bf7d1e97da","aefe0c0ff9ce453ab431c334d07d2288","678f510b510c436aa49f79b5dbe8550e","f7dee14f660046dcafb3874d4cb1beb9","6b892c60d0b54aadb3aa4c9b06fc6e77","6f30a3bc3d3c42c48a5b9cc0e1c4d8c8","0aaccae406a04ea9b36ce7206eb2b6aa","4ea06aeb5eaf487991de630bccda93d4","f55bac673324432eb44c7471bdd326ac","6dab9471ebf74275b7c7d8fc5014d33d","c87750fad8b44b1e8e8911d2d82fa580","d5d49581fa504f90a0e4b857993b888f","5cc521e1bfd24cee87da37e2673cb1fd","18646ad5f8a24c919f9d005f4e11a90e","c39f5b52c28744cabf057830f78e4169","3d56b1d02f6f4ddbb8c0d2c977425945","eb9a6c692df5435ca104956a0b5244cf","179fab396d3940a0a5c241a96afe32ae","ffc85f0431ce480ebb604a5281e09bef","4e0a44a250134a99a19add45db4560eb","b054cd6d0cb6443d882d92a7cc082dc0","065efeeb82d44e3db824cc58227e17cd","8359fd9cec3c4f06a9b2a10711780c6e","f30e92b26bb74309b42350ef371d17c9","b2215ba85df942c0b82aea766af3cd8a","d3c91d3199534090aeb64dff6e0b7845","fe29dfb4e778474a873cc16f0d069a92","9412142e60f6438e964e9149f20b5d09","9ff0edcd5ad14ac08197f9b08edfb686","e4818774900b4740a71b865d79592094","ac42642dc19743eba87b45ad5b175f7f","b64ef2a7f86f4ae18d6b38b1b5e452bb","e723c83bb3194ea29c40e0f63a6a9c61","abe872fbf0e44e2b93941281611af34c","22d96b6efb9b44ddabfd3975c87754f5","7836eaa5e6c94a74b85b56e2e682dcba","6202ad30b7e24f39930d0eb0781ca390","02115f09428a46618e6e1c598a2cb138","e4fe32601e354afaa64cb04221025976","7b46e227eddb4986b62b1eee05ddb14e","16985410924c41d597f9697f5c2fdacf","c84b5320faee446baf89e7b0c8c5f346","0876291e3d714c93b369bcc04b3e4b4c","1b42720090164be1895077e8c488b015","4ded8703b6e84fa6a3ec49cd1f58da77","98961a54c7174368852900b7ab16051d","b5f58fb98e3847a699c5e3a3d3c49a79","c28966f498954c59868bcc1a8c543434","8b3a47aac00045afae36be038aee65c3"]},"id":"mG8YroDC_bfm","executionInfo":{"status":"ok","timestamp":1774861656158,"user_tz":-60,"elapsed":12029,"user":{"displayName":"Khawja redwanul islam","userId":"08565280838879170063"}},"outputId":"b8ff2777-41c8-485f-87ad-2375d26a0801"},"outputs":[{"output_type":"stream","name":"stdout","text":["Loading IMDB...\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n","  warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["README.md: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"49090bb3568a42c2bf1048a0f4c811c1"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n","WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n"]},{"output_type":"display_data","data":{"text/plain":["plain_text/train-00000-of-00001.parquet:   0%|          | 0.00/21.0M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2baae0b554ae45aeb7ab16d4fdce592d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["plain_text/test-00000-of-00001.parquet:   0%|          | 0.00/20.5M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"5067f9b3090049e5a958dd11b4899094"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["plain_text/unsupervised-00000-of-00001.p(…):   0%|          | 0.00/42.0M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6f30a3bc3d3c42c48a5b9cc0e1c4d8c8"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating train split:   0%|          | 0/25000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"eb9a6c692df5435ca104956a0b5244cf"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating test split:   0%|          | 0/25000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9412142e60f6438e964e9149f20b5d09"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating unsupervised split:   0%|          | 0/50000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"e4fe32601e354afaa64cb04221025976"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Full dataset size: 50000\n","\n","--- EDA ---\n"]},{"output_type":"stream","name":"stderr","text":["/tmp/ipykernel_1580/191807293.py:27: FutureWarning: \n","\n","Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n","\n","  sns.countplot(x='label', data=df_subset, palette='viridis')\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 600x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stderr","text":["/tmp/ipykernel_1580/191807293.py:41: FutureWarning: \n","\n","Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n","\n","  sns.barplot(x=list(counts_list), y=list(words_list), palette='magma')\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x500 with 1 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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Train: 1400 | Val: 400 | Test: 200\n"]}],"source":["nltk.download('stopwords', quiet=True)\n","nltk.download('wordnet', quiet=True)\n","nltk.download('omw-1.4', quiet=True)\n","\n","print(\"Loading IMDB...\")\n","dataset = load_dataset(\"imdb\")\n","\n","# Combine train and test splits into one big pool, then sample from it\n","df_raw = pd.concat([\n","    pd.DataFrame(dataset['train']),\n","    pd.DataFrame(dataset['test'])\n","]).reset_index(drop=True)\n","\n","print(f\"Full dataset size: {len(df_raw)}\")\n","\n","# 2000 records is enough for a proof-of-concept — keeps runtime manageable\n","df_subset = df_raw.sample(2000, random_state=42).reset_index(drop=True)\n","\n","# Quick check — make sure labels look right\n","# df_subset['label'].value_counts()\n","# df_subset.head()\n","\n","print(\"\\n--- EDA ---\")\n","\n","# Class balance check — want roughly 50/50 or this will skew everything\n","plt.figure(figsize=(6, 4))\n","sns.countplot(x='label', data=df_subset, palette='viridis')\n","plt.title('Class Balance (0 = Neg, 1 = Pos)')\n","plt.xlabel('Label')\n","plt.ylabel('Count')\n","plt.tight_layout()\n","plt.show()\n","\n","# Top 20 words before any cleaning — shows how much noise there is (HTML tags, stopwords etc.)\n","all_words = ' '.join(df_subset['text']).lower().split()\n","word_counts = Counter(all_words)\n","common_words = word_counts.most_common(20)\n","words_list, counts_list = zip(*common_words)\n","\n","plt.figure(figsize=(10, 5))\n","sns.barplot(x=list(counts_list), y=list(words_list), palette='magma')\n","plt.title('Top 20 Words Before Cleaning')\n","plt.xlabel('Frequency')\n","plt.ylabel('Word')\n","plt.tight_layout()\n","plt.show()\n","\n","# 7:2:1 split — 1400 train, 400 val, 200 test\n","df_temp, df_test = train_test_split(df_subset, test_size=200, random_state=42)\n","df_train, df_val = train_test_split(df_temp,   test_size=400, random_state=42)\n","\n","df_train = df_train.copy().reset_index(drop=True)\n","df_val   = df_val.copy().reset_index(drop=True)\n","df_test  = df_test.copy().reset_index(drop=True)\n","\n","print(f\"Train: {len(df_train)} | Val: {len(df_val)} | Test: {len(df_test)}\")\n","\n","# Sanity check on the splits\n","# print(df_train['label'].value_counts())\n","# print(df_val['label'].value_counts())\n","# print(df_test['label'].value_counts())"],"id":"mG8YroDC_bfm"},{"cell_type":"markdown","metadata":{"id":"Ly6ZcOuv_bfn"},"source":["## 2. Preprocessing\n","\n","Two separate pipelines — traditional cleaning for the SVM, and raw text tokenisation for DistilBERT."],"id":"Ly6ZcOuv_bfn"},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":276,"referenced_widgets":["bdd4aeb7bef54e3f954adae7c2b7201c","f9f25109cfae4bc381010bd074f9932f","d0ea491fdb374c99b5d6cd766f97aad1","605dedbe62c24919a73d7d01c7b1a712","a2812613fd1644758e53957d2f8b7758","43291dfd80de4f0385603f1b577137ac","8620c0f48c974a308b8e0c2dc74fa634","84bbb4a7925b47b9b4d251a1ec8708bf","ac0b27df7012462294a44d1500d75b53","3b39ba5bf882401f9205eaeff978bf7e","4a086c84e1154dacb7c35d58555b9ddb","03a30896626946f99588f8e2cb08704b","971c1b707ad14a1bad9915fad6c6d949","1672aef02d7b4ef39e13482e1bc3014b","b31ae755e0cd4ad6908b75e8400fac90","857aa28bef0a4b11a5ee33c7dfec2460","41f60b3da2a540df89b0f38518026931","96b8d81086c944c4b1eee6c3f3b20e57","067224308d8441c589d999c8d3d17c75","8ee3b341a5b74c5991c310e94ab29c05","d7535517bfce425fa38dc641addf7699","80440def5a394ca6bf84f68510639e6e","ec3bf8f288bb4e2ba06a139a245b7f42","d1fc7670e2fc40dfb28b07c7f9fdbe1d","8d4b984b75fe49d29ec380d265b306d1","824ba57cbc50424cb61962bd3373c07b","fed0b161557241f59902cbd1012c2caa","25616edc30e84ea786e803ae323e4684","c41f66d7195b48efa13bf2965803caef","9bc5944ae4e646f093edd4330b913cd8","7afd745531794f98b946681eb9a670be","285b4ce51df6468487f5f90479fb4d49","b66d8c0267b44dd5b879fc1db8f39d45","ce812497ed1d4879800f09e6b95747d3","1f6495399d3d458cbf0f7ec3b0f5c511","0b91c272b3bd455797db905009f7cf98","ee0071b6ed0b47a19f91cfd36a15d013","0cd11e74bfc54b568daa004bd5190eb3","68a016736c8c4aa5a2793abda3fed564","b347ddd38b6145e6bf0e9bf2bea8c9b8","65e3e1bf5df9485492882bc9a7a2f9b0","1337df4b620748fc835700b33e429ac4","864bda6cea924534b5ae3b0bef35ac5c","6e21b5e6dd764b7ca7dc3c17b010df69","b69b3ce4231d45038ffdf7e28e41eaaa","d02e31a26420495094c479a5dba25401","56ea6a046be14467b3ee2715aff35b13","96aee5732b7849b7b0422f27a26c947c","7e3e5b52d1bf4f5a9935233fbe70a288","71a8c5bbb4ac41ec9dfcee3f9c655dc2","df835860f346406188f1a1c1fd90afd8","b96d32eb162f4e769b58780789f28996","3fcf88c27de8481ca3d1d272ab739c00","29f945c23d244718b93f02391303794b","ca11d7bc38f4494b9d286fd1b805397f","6ef21d9d7d05476b834f1431b0b54b9b","0902d119d5a54176ac5d0f9a2cf427b6","1d10022b194546b9be17a6fda3602418","72cca57978fa4d2aa037ecc83f855737","726ac7ce349f426fb6f2f13cbc7c5d41","7cfe863eacab4589830097cb47c4b69b","d716b39f210440429251b15b4fe7dcda","b4eb705bfa6846dab68dedac4412bd05","5140eb8647644a2fb844427decdef729","45a9538bd39e48e6a3ef7557f90fc544","ace96546ed6e435b9a533c6039d7e3d9","aefc2a4d43b249b4a2a4ea3049cba499","1832c1aef6e94056a7f98f8c68702c31","6a26eab075304b0bb62328e4f5c4c472","c4f3229128604cfeb19b69e466c2cfe9","5c8dbfa135f94050b4f1aa282e660b77","4c89b17c90f14e8d92919d0943f16a7c","22c9981effc84200a2b95be0ee5cfe6e","3d7725be8a24427f920ac84598f5b2d7","38b92c81c593427e8088744556d526e2","c5f20e322f0b44fab2a0e37a7d4d0090","8687c7e2021b4cd3bea49423ca5475ed"]},"id":"v6zG2LZ__bfo","executionInfo":{"status":"ok","timestamp":1774861665837,"user_tz":-60,"elapsed":9673,"user":{"displayName":"Khawja redwanul islam","userId":"08565280838879170063"}},"outputId":"aa4e79a2-1cd3-4b35-c118-745c5d607dd3"},"outputs":[{"output_type":"stream","name":"stdout","text":["Cleaning text for SVM...\n"]},{"output_type":"display_data","data":{"text/plain":["config.json:   0%|          | 0.00/483 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"bdd4aeb7bef54e3f954adae7c2b7201c"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer_config.json:   0%|          | 0.00/48.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"03a30896626946f99588f8e2cb08704b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["vocab.txt: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"ec3bf8f288bb4e2ba06a139a245b7f42"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer.json: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"ce812497ed1d4879800f09e6b95747d3"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Tokenising for DistilBERT...\n"]},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/1400 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b69b3ce4231d45038ffdf7e28e41eaaa"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/400 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6ef21d9d7d05476b834f1431b0b54b9b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/200 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"aefc2a4d43b249b4a2a4ea3049cba499"}},"metadata":{}}],"source":["# Traditional cleaning for the SVM pipeline\n","# Steps: strip HTML → lowercase → remove non-alpha → stopwords → lemmatise\n","stop_words = set(stopwords.words('english'))\n","lemmatizer = WordNetLemmatizer()\n","\n","def clean_text_traditional(text):\n","    text = re.sub(r'<.*?>', ' ', text)       # IMDB reviews have leftover HTML\n","    text = text.lower()\n","    text = re.sub(r'[^a-z\\s]', '', text)    # keep only letters\n","    words = text.split()\n","    return ' '.join([lemmatizer.lemmatize(w) for w in words if w not in stop_words])\n","\n","print(\"Cleaning text for SVM...\")\n","df_train['clean_text'] = df_train['text'].apply(clean_text_traditional)\n","df_val['clean_text']   = df_val['text'].apply(clean_text_traditional)\n","df_test['clean_text']  = df_test['text'].apply(clean_text_traditional)\n","\n","# Quick check that cleaning looks right on a sample\n","# print(df_train['clean_text'].iloc[0])\n","\n","# DistilBERT tokenisation — doesn't need the traditional cleaning above,\n","# it handles raw text using its own WordPiece tokeniser\n","model_name = \"distilbert-base-uncased\"\n","tokenizer  = AutoTokenizer.from_pretrained(model_name)\n","\n","def tokenize_function(examples):\n","    return tokenizer(\n","        examples[\"text\"],\n","        padding=\"max_length\",\n","        truncation=True,\n","        max_length=256   # 256 covers most reviews; 512 was too slow for this setup\n","    )\n","\n","train_dataset = Dataset.from_pandas(df_train[['text', 'label']], preserve_index=False)\n","val_dataset   = Dataset.from_pandas(df_val[['text', 'label']],   preserve_index=False)\n","test_dataset  = Dataset.from_pandas(df_test[['text', 'label']],  preserve_index=False)\n","\n","print(\"Tokenising for DistilBERT...\")\n","tokenized_train = train_dataset.map(tokenize_function, batched=True)\n","tokenized_val   = val_dataset.map(tokenize_function,   batched=True)\n","tokenized_test  = test_dataset.map(tokenize_function,  batched=True)"],"id":"v6zG2LZ__bfo"},{"cell_type":"markdown","metadata":{"id":"pJvrUpIl_bfp"},"source":["## 3. Training the Models"],"id":"pJvrUpIl_bfp"},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":826,"referenced_widgets":["273cc529ec2c4ed589c7d5f3e7ba426d","f432b5836eb74734ba969f7d7a541ca2","aa42ee902b9c4a01a71b6f00e1cdb4ed","d15611736dff4e82a19c0c8768035ae6","ded978e61ac04ecbabe04f7ba63a492b","bff5b45a8f914147955fc5db39303942","0a067e7fd85645629dbbee27552147de","71fe10bf407f420db88acd49ed2f6f5b","f664c66c66154adaa5275e82b1fa9f95","3316dfec514d45be977813354a741fc3","d89021819c6448989cbfbe303fc4be36","ebfa89729a584a68bfdeebc30bca6f9e","645cc8f677fe43e2aba8e991f3f572c5","a89310be347b4b2881810a8f1370ce3b","eac3be69fa154a5f89fa9cfd5cbc5fde","af5591c8b0074329b904df1f9849476d","ce396c00948f46b48acb3571aacaa7f0","089adfaf0cd849308dc06dad36caf04e","9fee2e25b94e4110a7ffd1a9fb5d9e0f","81e1e120f04640dfa17dc86b3803abb7","b00e477921274c24aa15b92d8b55d212","7f483f61dc7946b09881c51e7d760b3c","3384916ab03d4e6a83803418717c37c8","9d5f7ebea144423da84f0191b608e92e","13b4ad0f391c4d778c24cf661168c5e3","4ddbf8b472114638a2045e0c8b04f563","af5d87f6d35248a09ba23a972b7c0a94","553bfc5c2f5f4155a2b9aab48af228e4","38055f3139a94eba8ddbab9dab0bfc83","0d5176dfffaa4d88bc0061a657f7eab7","9070fc7254204179a8e278830e61272f","b54b36af9a1049c6988981c8cd8115ad","c57ac1ddca664aa781b86a7aaadede91","6804ce72d4c741688ea715a4128cdd5b","6dc169652800477086fec8ea26dfd2c5","2552e6cf124e4f7dabfa6b139becb238","3950070b9e0846c8a010ee8ee0c72494","d2ac1a76719647379d09bb3cd3561221","cefccdc8e152471caefb79db4b6d6fc4","f450226e0cf242c186670f4678dcf54f","7b617435f21649e087f3bc00a653fc1a","4b49b139360c4aef8992f3e7f10f1866","d6a1204bef494033af9be89c272638fb","a42dcb11323b4c8b987f98886f3352ad","c2f3d7e9c5574bbba4016b8131428989","c7229544f8e347e3a090db0e09d5327f","65520c1baadf4a5d92cfd55785cdf119","3054baa5822346609f85be38a7db6899","f7de84a05006455287eaceba28fddeb9","4a6bfd48a8674599bddefcbf7a5458b0","edb0de85837b4f1d916e49cde45315de","5701ddc0468e4ffcb964649ed28cd277","f3660e7533294c379a6bef18e54596e7","d0f5ffa43d4a4827b4fcee8860ada2a3","85d5c1e550cb4fca860b6a450866fee7","3048af5ee65a4096b3581c18be80dd6d","d69336384c61421bad120dff6a7f00a1","5bf523e9bd81460b82c594e94f1fec26","a1bd842473714435875b189a941aa00a","97871694c5eb4fd7977a89cac68baea5","420cde8b309a430facafd02c7d849885","04bff1a575c3424c8bb845f82c7af8cc","de636540c1b54677b64fd5ae53fc2cf8","f923c8cc6b5340299256592e1bad7aa1","568e159715204f9681bd3815a70a4086","af01a95233054675bc1980016a9db49c"]},"id":"eob9oAYs_bfp","executionInfo":{"status":"ok","timestamp":1774861892907,"user_tz":-60,"elapsed":227064,"user":{"displayName":"Khawja redwanul islam","userId":"08565280838879170063"}},"outputId":"31668d6d-a418-4b73-f14f-faf597f215d6"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Training SVM...\n","Best C: 0.1  |  Time: 6.26s\n","\n","Fine-tuning DistilBERT...\n"]},{"output_type":"display_data","data":{"text/plain":["model.safetensors:   0%|          | 0.00/268M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"273cc529ec2c4ed589c7d5f3e7ba426d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Loading weights:   0%|          | 0/100 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"ebfa89729a584a68bfdeebc30bca6f9e"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["DistilBertForSequenceClassification LOAD REPORT from: distilbert-base-uncased\n","Key                     | Status     | \n","------------------------+------------+-\n","vocab_layer_norm.bias   | UNEXPECTED | \n","vocab_transform.bias    | UNEXPECTED | \n","vocab_transform.weight  | UNEXPECTED | \n","vocab_projector.bias    | UNEXPECTED | \n","vocab_layer_norm.weight | UNEXPECTED | \n","pre_classifier.weight   | MISSING    | \n","classifier.bias         | MISSING    | \n","classifier.weight       | MISSING    | \n","pre_classifier.bias     | MISSING    | \n","\n","Notes:\n","- UNEXPECTED\t:can be ignored when loading from different task/architecture; not ok if you expect identical arch.\n","- MISSING\t:those params were newly initialized because missing from the checkpoint. Consider training on your downstream task.\n","warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","    <div>\n","      \n","      <progress value='352' max='352' style='width:300px; height:20px; vertical-align: middle;'></progress>\n","      [352/352 03:36, Epoch 4/4]\n","    </div>\n","    <table border=\"1\" class=\"dataframe\">\n","  <thead>\n"," <tr style=\"text-align: left;\">\n","      <th>Epoch</th>\n","      <th>Training Loss</th>\n","      <th>Validation Loss</th>\n","      <th>Accuracy</th>\n","      <th>F1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>1</td>\n","      <td>0.674486</td>\n","      <td>0.415716</td>\n","      <td>0.817500</td>\n","      <td>0.839560</td>\n","    </tr>\n","    <tr>\n","      <td>2</td>\n","      <td>0.253870</td>\n","      <td>0.354768</td>\n","      <td>0.855000</td>\n","      <td>0.838889</td>\n","    </tr>\n","    <tr>\n","      <td>3</td>\n","      <td>0.138653</td>\n","      <td>0.330563</td>\n","      <td>0.870000</td>\n","      <td>0.873171</td>\n","    </tr>\n","    <tr>\n","      <td>4</td>\n","      <td>0.084731</td>\n","      <td>0.376086</td>\n","      <td>0.870000</td>\n","      <td>0.870647</td>\n","    </tr>\n","  </tbody>\n","</table><p>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Writing model shards:   0%|          | 0/1 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"3384916ab03d4e6a83803418717c37c8"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Writing model shards:   0%|          | 0/1 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6804ce72d4c741688ea715a4128cdd5b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Writing model shards:   0%|          | 0/1 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"c2f3d7e9c5574bbba4016b8131428989"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Writing model shards:   0%|          | 0/1 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"3048af5ee65a4096b3581c18be80dd6d"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["There were missing keys in the checkpoint model loaded: ['distilbert.embeddings.LayerNorm.weight', 'distilbert.embeddings.LayerNorm.bias'].\n","There were unexpected keys in the checkpoint model loaded: ['distilbert.embeddings.LayerNorm.beta', 'distilbert.embeddings.LayerNorm.gamma'].\n"]},{"output_type":"stream","name":"stdout","text":["DistilBERT done in 217.87s\n"]}],"source":["# --- SVM: TF-IDF + LinearSVC ---\n","# GridSearchCV over C to find the best regularisation — 3-fold to keep it fast\n","print(\"\\nTraining SVM...\")\n","\n","pipeline_svm = Pipeline([\n","    ('tfidf', TfidfVectorizer(max_features=5000, ngram_range=(1, 2))),\n","    ('clf',   LinearSVC(max_iter=1000, random_state=42, dual=False))\n","])\n","\n","# Tried max_features=20000 first but it didn't improve much and was slower,\n","# so stuck with 5000\n","param_grid  = {'clf__C': [0.1, 1.0, 10.0]}\n","grid_search = GridSearchCV(pipeline_svm, param_grid, cv=3, scoring='f1', n_jobs=-1)\n","\n","start_svm = time.time()\n","grid_search.fit(df_train['clean_text'], df_train['label'])\n","svm_train_time = time.time() - start_svm\n","\n","print(f\"Best C: {grid_search.best_params_['clf__C']}  |  Time: {svm_train_time:.2f}s\")\n","pipeline_svm = grid_search.best_estimator_\n","\n","# --- DistilBERT fine-tuning ---\n","# attn_implementation=\"eager\" needed later for the attention heatmap —\n","# without it, output_attentions throws an error\n","print(\"\\nFine-tuning DistilBERT...\")\n","\n","def compute_metrics(eval_pred):\n","    logits, labels = eval_pred\n","    preds = np.argmax(logits, axis=-1)\n","    return {\n","        \"accuracy\": accuracy_score(labels, preds),\n","        \"f1\":       f1_score(labels, preds)\n","    }\n","\n","model = AutoModelForSequenceClassification.from_pretrained(\n","    model_name,\n","    num_labels=2,\n","    attn_implementation=\"eager\"\n",")\n","\n","training_args = TrainingArguments(\n","    output_dir=\"./results\",\n","    learning_rate=2e-5,         # from Sun et al. — lower than default but works well here\n","    per_device_train_batch_size=16,\n","    num_train_epochs=4,\n","    weight_decay=0.01,\n","    warmup_ratio=0.1,\n","    eval_strategy=\"epoch\",\n","    save_strategy=\"epoch\",\n","    load_best_model_at_end=True,\n","    metric_for_best_model=\"loss\",\n","    logging_steps=50,\n",")\n","\n","trainer = Trainer(\n","    model=model,\n","    args=training_args,\n","    train_dataset=tokenized_train,\n","    eval_dataset=tokenized_val,\n","    compute_metrics=compute_metrics,\n","    callbacks=[EarlyStoppingCallback(early_stopping_patience=1)]\n",")\n","\n","start_bert = time.time()\n","trainer.train()\n","bert_train_time = time.time() - start_bert\n","print(f\"DistilBERT done in {bert_train_time:.2f}s\")"],"id":"eob9oAYs_bfp"},{"cell_type":"markdown","metadata":{"id":"9jF3cNQ8_bfq"},"source":["## 4. Evaluation on the Test Set"],"id":"9jF3cNQ8_bfq"},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":121},"id":"MMa8VW-y_bfr","executionInfo":{"status":"ok","timestamp":1774861894865,"user_tz":-60,"elapsed":1945,"user":{"displayName":"Khawja redwanul islam","userId":"08565280838879170063"}},"outputId":"9e3de3b4-529c-40cd-e334-5b4829fbae91"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Evaluating on test set...\n","SVM        -> Acc: 0.8250 | Prec: 0.8111 | Rec: 0.8022 | F1: 0.8066\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":[]},"metadata":{}},{"output_type":"stream","name":"stdout","text":["DistilBERT -> Acc: 0.8850 | Prec: 0.8864 | Rec: 0.8571 | F1: 0.8715\n","\n","Time — SVM: 6.3s  |  DistilBERT: 217.9s\n"]}],"source":["def get_metrics(y_true, y_pred):\n","    return (\n","        accuracy_score(y_true,  y_pred),\n","        precision_score(y_true, y_pred),\n","        recall_score(y_true,    y_pred),\n","        f1_score(y_true,        y_pred),\n","        confusion_matrix(y_true, y_pred)\n","    )\n","\n","print(\"\\nEvaluating on test set...\")\n","y_true = df_test['label']\n","\n","y_pred_svm   = pipeline_svm.predict(df_test['clean_text'])\n","y_scores_svm = pipeline_svm.decision_function(df_test['clean_text'])\n","acc_s, prec_s, rec_s, f1_s, cm_svm = get_metrics(y_true, y_pred_svm)\n","print(f\"SVM        -> Acc: {acc_s:.4f} | Prec: {prec_s:.4f} | Rec: {rec_s:.4f} | F1: {f1_s:.4f}\")\n","\n","bert_predictions = trainer.predict(tokenized_test)\n","y_pred_bert      = np.argmax(bert_predictions.predictions, axis=-1)\n","y_probs_bert     = softmax(bert_predictions.predictions, axis=1)[:, 1]\n","acc_b, prec_b, rec_b, f1_b, cm_bert = get_metrics(y_true, y_pred_bert)\n","print(f\"DistilBERT -> Acc: {acc_b:.4f} | Prec: {prec_b:.4f} | Rec: {rec_b:.4f} | F1: {f1_b:.4f}\")\n","\n","print(f\"\\nTime — SVM: {svm_train_time:.1f}s  |  DistilBERT: {bert_train_time:.1f}s\")"],"id":"MMa8VW-y_bfr"},{"cell_type":"markdown","metadata":{"id":"qlcOyioB_bfr"},"source":["## 5. Results Visualisations"],"id":"qlcOyioB_bfr"},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"ILsnDIGD_bfs","executionInfo":{"status":"ok","timestamp":1774861895626,"user_tz":-60,"elapsed":728,"user":{"displayName":"Khawja redwanul islam","userId":"08565280838879170063"}},"outputId":"79bd3e5e-a39c-4ba9-a166-b4d3f724628c"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 4 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Confusion matrices side by side\n","fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n","sns.heatmap(cm_svm,  annot=True, fmt='d', cmap='Blues',  ax=axes[0],\n","            xticklabels=[\"Neg\", \"Pos\"], yticklabels=[\"Neg\", \"Pos\"])\n","axes[0].set_title('SVM Confusion Matrix')\n","axes[0].set_xlabel('Predicted')\n","axes[0].set_ylabel('Actual')\n","\n","sns.heatmap(cm_bert, annot=True, fmt='d', cmap='Greens', ax=axes[1],\n","            xticklabels=[\"Neg\", \"Pos\"], yticklabels=[\"Neg\", \"Pos\"])\n","axes[1].set_title('DistilBERT Confusion Matrix')\n","axes[1].set_xlabel('Predicted')\n","axes[1].set_ylabel('Actual')\n","plt.tight_layout()\n","plt.show()\n","\n","# Side-by-side metrics bar chart\n","metrics_labels = ['Accuracy', 'Precision', 'Recall', 'F1-Score']\n","svm_scores     = [acc_s, prec_s, rec_s, f1_s]\n","bert_scores    = [acc_b, prec_b, rec_b, f1_b]\n","\n","x     = np.arange(len(metrics_labels))\n","width = 0.35\n","\n","fig, ax = plt.subplots(figsize=(9, 5))\n","bars1 = ax.bar(x - width/2, svm_scores,  width, label='SVM',        color='steelblue')\n","bars2 = ax.bar(x + width/2, bert_scores, width, label='DistilBERT', color='seagreen')\n","ax.set_ylim(0, 1.1)\n","ax.set_xticks(x)\n","ax.set_xticklabels(metrics_labels)\n","ax.set_ylabel('Score')\n","ax.set_title('Model Performance on Test Set')\n","ax.legend()\n","for bar in bars1 + bars2:\n","    ax.text(bar.get_x() + bar.get_width() / 2, bar.get_height() + 0.01,\n","            f'{bar.get_height():.3f}', ha='center', va='bottom', fontsize=9)\n","plt.tight_layout()\n","plt.show()\n","\n","# ROC curves\n","fpr_svm,  tpr_svm,  _ = roc_curve(y_true, y_scores_svm)\n","fpr_bert, tpr_bert, _ = roc_curve(y_true, y_probs_bert)\n","\n","plt.figure(figsize=(7, 5))\n","plt.plot(fpr_svm,  tpr_svm,  color='blue',  lw=2,\n","         label=f'SVM (AUC = {auc(fpr_svm,  tpr_svm):.3f})')\n","plt.plot(fpr_bert, tpr_bert, color='green', lw=2,\n","         label=f'DistilBERT (AUC = {auc(fpr_bert, tpr_bert):.3f})')\n","plt.plot([0, 1], [0, 1], color='gray', linestyle='--', label='Random')\n","plt.title('ROC Curve Comparison')\n","plt.xlabel('False Positive Rate')\n","plt.ylabel('True Positive Rate')\n","plt.legend(loc=\"lower right\")\n","plt.tight_layout()\n","plt.show()"],"id":"ILsnDIGD_bfs"},{"cell_type":"markdown","metadata":{"id":"JDupjZSK_bfs"},"source":["## 6. Model Interpretability (SHAP & Attention Heatmap)\n","\n","Breaking open the black box — what did each model actually pay attention to?"],"id":"JDupjZSK_bfs"},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["709fda30cc994c7ba63a5bdbd110a500","64d525d2b34f47ce8731c90758938ad5","b8d380741ff34b328f9feebaef0cce51","ca1e52472f074a02bb223ed1b880d183","b709a2683ffb489388a0602d7110a243","22282c018e994bd1aaec5c407b35347a","09b68d6de5fb433386c7395e5fd381f1","00f256b14362464b8f1b22e9a904636a","79432e15a2e84eb884307c0ba1c5b138","0a30e864134f4a148130de4a842ef1d8","799e504fe5164f15bb38099662ed4ebb"]},"id":"uRtP5fNE_bft","executionInfo":{"status":"ok","timestamp":1774861922479,"user_tz":-60,"elapsed":26848,"user":{"displayName":"Khawja redwanul islam","userId":"08565280838879170063"}},"outputId":"cfc8daee-aad3-45f5-953d-a0455f91054d"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Interpretability section — using first test instance\n","Instance 0 | True Label: Positive\n"]},{"output_type":"stream","name":"stderr","text":["/tmp/ipykernel_1580/2822209944.py:26: FutureWarning: \n","\n","Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n","\n","  sns.barplot(x='Contribution', y='Feature', data=filtered_local_df, palette=colors)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Running SHAP (this takes a minute)...\n"]},{"output_type":"stream","name":"stderr","text":["You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n"]},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/498 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"709fda30cc994c7ba63a5bdbd110a500"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["PartitionExplainer explainer: 2it [00:11, 11.41s/it]               \n"]},{"output_type":"stream","name":"stdout","text":["SHAP done for instance 0 — True Label: Positive\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x650 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Generating attention heatmap...\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x800 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["print(\"\\nInterpretability section — using first test instance\")\n","\n","idx               = 0\n","sample_raw_text   = df_test['text'].iloc[idx]\n","sample_clean_text = df_test['clean_text'].iloc[idx]\n","true_label        = \"Positive\" if y_true.iloc[idx] == 1 else \"Negative\"\n","print(f\"Instance {idx} | True Label: {true_label}\")\n","\n","# SVM word-level contributions\n","# Each word's contribution = its TF-IDF weight × the SVM coefficient for that feature\n","# Green = pushes toward Positive, Red = pushes toward Negative\n","tfidf_vectorizer    = pipeline_svm.named_steps['tfidf']\n","svm_classifier      = pipeline_svm.named_steps['clf']\n","vec_0               = tfidf_vectorizer.transform([sample_clean_text]).toarray()[0]\n","local_contributions = vec_0 * svm_classifier.coef_[0]\n","\n","local_df = pd.DataFrame({\n","    'Feature':      tfidf_vectorizer.get_feature_names_out(),\n","    'Contribution': local_contributions\n","})\n","local_df          = local_df[local_df['Contribution'] != 0].sort_values(by='Contribution')\n","filtered_local_df = pd.concat([local_df.head(10), local_df.tail(10)])\n","\n","plt.figure(figsize=(8, 6))\n","colors = [\"#e74c3c\" if x < 0 else \"#2ecc71\" for x in filtered_local_df['Contribution']]\n","sns.barplot(x='Contribution', y='Feature', data=filtered_local_df, palette=colors)\n","plt.title(f'SVM Word Contributions — Instance {idx} (True: {true_label})', fontsize=12)\n","plt.axvline(0, color='black', linewidth=0.8)\n","plt.tight_layout()\n","plt.show()\n","\n","# SHAP for DistilBERT — uses a masking approach to measure each token's contribution\n","# to the positive class probability\n","print(\"\\nRunning SHAP (this takes a minute)...\")\n","device_id = 0 if torch.cuda.is_available() else -1\n","\n","sent_pipeline = pipeline(\n","    'text-classification',\n","    model=model,\n","    tokenizer=tokenizer,\n","    device=device_id,\n","    return_all_scores=True,\n","    truncation=True,\n","    max_length=512\n",")\n","\n","explainer   = shap.Explainer(sent_pipeline)\n","shap_values = explainer([sample_raw_text[:1500]])   # trim to keep SHAP budget manageable\n","\n","print(f\"SHAP done for instance {idx} — True Label: {true_label}\")\n","shap.plots.bar(shap_values[0, :, 1])\n","\n","# Attention heatmap — last layer, averaged across all heads\n","# Shows which token pairs the model focused on — useful to see, though not\n","# a perfect explanation on its own (Clark et al.)\n","print(\"\\nGenerating attention heatmap...\")\n","device_torch = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n","model.to(device_torch)\n","\n","model.config.output_attentions = True  # needs attn_implementation=\"eager\" from model load\n","\n","attn_inputs = tokenizer(\n","    sample_raw_text[:512],\n","    return_tensors=\"pt\",\n","    truncation=True,\n","    max_length=64\n",")\n","attn_inputs = {k: v.to(device_torch) for k, v in attn_inputs.items()}\n","\n","with torch.no_grad():\n","    attn_outputs = model(**attn_inputs)\n","\n","model.config.output_attentions = False  # turn off again after\n","\n","if attn_outputs.attentions is not None:\n","    attention_last = attn_outputs.attentions[-1].mean(dim=1).squeeze().cpu().numpy()\n","    tokens         = tokenizer.convert_ids_to_tokens(attn_inputs[\"input_ids\"][0].cpu())\n","\n","    n_display = min(15, len(tokens))\n","    plt.figure(figsize=(10, 8))\n","    sns.heatmap(\n","        attention_last[:n_display, :n_display],\n","        xticklabels=tokens[:n_display],\n","        yticklabels=tokens[:n_display],\n","        cmap=\"YlOrRd\",\n","        annot=True,\n","        fmt=\".2f\",\n","        linewidths=0.5\n","    )\n","    plt.title(\n","        f'DistilBERT Attention — Last Layer (Avg Heads)\\nInstance {idx} | True: {true_label}',\n","        fontsize=12\n","    )\n","    plt.xticks(rotation=45, ha='right')\n","    plt.tight_layout()\n","    plt.show()"],"id":"uRtP5fNE_bft"},{"cell_type":"markdown","metadata":{"id":"oxzI---d_bft"},"source":["## 7. Summary"],"id":"oxzI---d_bft"},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7imgyNY-_bft","executionInfo":{"status":"ok","timestamp":1774861922508,"user_tz":-60,"elapsed":19,"user":{"displayName":"Khawja redwanul islam","userId":"08565280838879170063"}},"outputId":"71a95054-7523-4b35-cd27-8c15b51ff05a"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n","=======================================================\n","RESULTS SUMMARY\n","=======================================================\n","       Model Accuracy Precision Recall F1-Score Train Time(s)\n","SVM (TF-IDF)   0.8250    0.8111 0.8022   0.8066           6.3\n","  DistilBERT   0.8850    0.8864 0.8571   0.8715         217.9\n","=======================================================\n"]}],"source":["print(\"\\n\" + \"=\" * 55)\n","print(\"RESULTS SUMMARY\")\n","print(\"=\" * 55)\n","summary = pd.DataFrame({\n","    'Model':         ['SVM (TF-IDF)',         'DistilBERT'],\n","    'Accuracy':      [f\"{acc_s:.4f}\",          f\"{acc_b:.4f}\"],\n","    'Precision':     [f\"{prec_s:.4f}\",         f\"{prec_b:.4f}\"],\n","    'Recall':        [f\"{rec_s:.4f}\",          f\"{rec_b:.4f}\"],\n","    'F1-Score':      [f\"{f1_s:.4f}\",           f\"{f1_b:.4f}\"],\n","    'Train Time(s)': [f\"{svm_train_time:.1f}\", f\"{bert_train_time:.1f}\"]\n","})\n","print(summary.to_string(index=False))\n","print(\"=\" * 55)"],"id":"7imgyNY-_bft"}]}