TIF_E41253385/api_slearn/model_store/v3/metadata_model.json

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{
"nama_model": "Logistic Regression",
"label_mapping": {
"0": "NEGATIF",
"1": "POSITIF"
},
"split": {
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"random_state": 42,
"stratify": "label"
},
"preprocessing_order": [
"cleaning",
"case_folding",
"normalisasi",
"koreksi_normalisasi_validator",
"tokenisasi",
"hapus_stopword",
"stemming"
],
"version": "v3",
"total_data": 670,
"jumlah_data_training": 555,
"jumlah_data_testing": 115,
"jumlah_sentimen_negatif": 427,
"jumlah_sentimen_positif": 243,
"jumlah_fitur_tfidf": 754,
"akurasi": 0.9478260869565217,
"confusion_matrix": [
[
73,
3
],
[
3,
36
]
],
"classification_report": {
"0": {
"precision": 0.9605263157894737,
"recall": 0.9605263157894737,
"f1-score": 0.9605263157894737,
"support": 76.0
},
"1": {
"precision": 0.9230769230769231,
"recall": 0.9230769230769231,
"f1-score": 0.9230769230769231,
"support": 39.0
},
"accuracy": 0.9478260869565217,
"macro avg": {
"precision": 0.9418016194331984,
"recall": 0.9418016194331984,
"f1-score": 0.9418016194331984,
"support": 115.0
},
"weighted avg": {
"precision": 0.9478260869565217,
"recall": 0.9478260869565217,
"f1-score": 0.9478260869565217,
"support": 115.0
}
},
"teacher_version": "v2",
"label_source": "Pseudo-labeling (label otomatis dari model aktif)",
"added_rows": 50,
"cumulative_added_rows": 99,
"audit": {
"uploaded_rows": 50,
"accepted_rows": 50,
"skipped_rows": [],
"training_before": 505,
"selected_column": "ulasan"
},
"skipped": {
"duplicate": 0,
"empty": 0,
"unknown": 0
},
"test_seed_sha256": "79ba16d91783a5652de77c6299ac17313188afe5761645c4895516aa8ae9f105",
"training_parameters": {
"C": 1.0,
"class_weight": null,
"dual": false,
"fit_intercept": true,
"intercept_scaling": 1,
"l1_ratio": null,
"max_iter": 1000,
"multi_class": "deprecated",
"n_jobs": null,
"penalty": "l2",
"random_state": null,
"solver": "lbfgs",
"tol": 0.0001,
"verbose": 0,
"warm_start": false
}
}