145 lines
4.1 KiB
JSON
145 lines
4.1 KiB
JSON
{
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"nama_model": "Logistic Regression",
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"total_data": 571,
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"jumlah_sentimen_negatif": 379,
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"jumlah_sentimen_positif": 192,
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"jumlah_data_training": 456,
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"jumlah_data_testing": 115,
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"jumlah_fitur_tfidf": 675,
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"akurasi": 0.9304347826086956,
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"label_mapping": {
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"0": "NEGATIF",
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"1": "POSITIF"
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},
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"confusion_matrix": [
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[
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70,
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6
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],
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[
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2,
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37
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]
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],
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"classification_report": {
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"0": {
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"precision": 0.9722222222222222,
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"recall": 0.9210526315789473,
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"f1-score": 0.9459459459459459,
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"support": 76.0
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},
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"1": {
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"precision": 0.8604651162790697,
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"recall": 0.9487179487179487,
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"f1-score": 0.9024390243902439,
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"support": 39.0
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},
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"accuracy": 0.9304347826086956,
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"macro avg": {
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"precision": 0.9163436692506459,
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"recall": 0.934885290148448,
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"f1-score": 0.9241924851680949,
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"support": 115.0
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},
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"weighted avg": {
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"precision": 0.9343219862936748,
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"recall": 0.9304347826086956,
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"f1-score": 0.9311914247227079,
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"support": 115.0
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}
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},
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"split": {
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"test_size": 0.2,
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"random_state": 42,
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"stratify": "label"
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},
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"preprocessing_order": [
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"cleaning",
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"case_folding",
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"normalisasi",
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"koreksi_normalisasi_validator",
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"tokenisasi",
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"hapus_stopword",
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"stemming"
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],
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"tfidf_parameters": {
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"analyzer": "'word'",
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"binary": "False",
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"decode_error": "'strict'",
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"dtype": "<class 'numpy.float64'>",
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"encoding": "'utf-8'",
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"input": "'content'",
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"lowercase": "True",
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"max_df": "1.0",
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"max_features": "None",
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"min_df": "1",
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"ngram_range": "(1, 1)",
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"norm": "None",
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"preprocessor": "None",
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"smooth_idf": "True",
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"stop_words": "None",
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"strip_accents": "None",
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"sublinear_tf": "False",
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"token_pattern": "'(?u)\\\\b\\\\w\\\\w+\\\\b'",
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"tokenizer": "None",
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"use_idf": "True",
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"vocabulary": "None"
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},
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"logistic_regression_parameters": {
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"C": 1.0,
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"class_weight": null,
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"dual": false,
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"fit_intercept": true,
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"intercept_scaling": 1,
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"l1_ratio": null,
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"max_iter": 1000,
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"multi_class": "deprecated",
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"n_jobs": null,
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"penalty": "l2",
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"random_state": null,
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"solver": "lbfgs",
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"tol": 0.0001,
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"verbose": 0,
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"warm_start": false
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},
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"confidence": {
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"tersedia": true,
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"sumber": "LogisticRegression.predict_proba",
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"definisi": "Confidence adalah probabilitas pada kelas yang dipilih sebagai hasil prediksi model.",
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"bukan": "Confidence bukan tingkat akurasi atau jaminan prediksi benar.",
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"kelas": {
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"0": "Probabilitas Negatif",
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"1": "Probabilitas Positif"
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}
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},
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"website": {
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"training_ulang": false,
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"tfidf_fit_ulang": false,
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"gunakan_tfidf_transform": true,
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"mendukung_prediksi_batch_csv": true,
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"mendukung_predict_proba": true
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},
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"python_version": "3.13.16",
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"library_versions": {
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"scikit-learn": "1.6.1",
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"numpy": "2.1.3",
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"scipy": "1.16.3",
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"pandas": "2.2.3",
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"nltk": "3.9.1",
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"Sastrawi": "1.0.1",
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"joblib": "1.6.0"
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},
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"dibuat_pada_utc": "2026-10-08T23:04:35.996842+00:00",
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"kamus_sumber_sha256": "ff82815802208fefc93f5ec2582b8b9d0137efb85719da559a6bd4be06f2638f",
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"sha256_files": {
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"requirements.txt": "669c113634d1c30c04e3a859d2cdfe4da162c1b6926d7248e44bab29608d3adb",
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"README.txt": "95a299ee72388f64f2002c91536d770b090aa414b4d771b13d4b8bae2954a0ef",
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"stopwords_final.joblib": "86fde7096c19c3e139e3afaecc97d558211001520ee2daef6c72a60df7d58bb0",
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"preprocessing_slearn.py": "6797aef8198520720fe8db837346c97304aee2bc1f3870bbf4ac1fdb8b77ec44",
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"kamus_alay_sumber.csv": "ff82815802208fefc93f5ec2582b8b9d0137efb85719da559a6bd4be06f2638f",
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"tfidf_vectorizer.joblib": "59669b82757eca691cd48d33d39dd52c2ede5bc17724b882bd242782bdbca1d1",
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"preprocessing_config.json": "704fa2d507aa2fc9ed5382dc675210dca80c816af921bd16d8ae9b4d4ba18ad0",
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"kamus_normalisasi.joblib": "60b7e79bab04401cbd3cbbf2b0920512a37f6e5066aee729710157d16e1203e2",
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"model_logistic_regression.joblib": "a7813f5b31ed2aa5e5b413a38bed0ec76e75dde714af93a0f7d1b9741c47f1fc"
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}
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} |