100 lines
2.2 KiB
JSON
100 lines
2.2 KiB
JSON
{
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"nama_model": "Logistic Regression",
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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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"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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"version": "v4",
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"total_data": 720,
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"jumlah_data_training": 605,
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"jumlah_data_testing": 115,
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"jumlah_sentimen_negatif": 457,
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"jumlah_sentimen_positif": 263,
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"jumlah_fitur_tfidf": 796,
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"akurasi": 0.9304347826086956,
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"confusion_matrix": [
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[
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72,
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4
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],
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[
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4,
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35
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]
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],
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"classification_report": {
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"0": {
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"precision": 0.9473684210526315,
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"recall": 0.9473684210526315,
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"f1-score": 0.9473684210526315,
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"support": 76.0
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},
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"1": {
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"precision": 0.8974358974358975,
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"recall": 0.8974358974358975,
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"f1-score": 0.8974358974358975,
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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": 0.9224021592442645,
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"recall": 0.9224021592442645,
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"f1-score": 0.9224021592442645,
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"support": 115.0
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},
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"weighted avg": {
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"precision": 0.9304347826086956,
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"recall": 0.9304347826086956,
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"f1-score": 0.9304347826086956,
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"support": 115.0
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}
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},
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"teacher_version": "v2",
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"label_source": "Pseudo-labeling (label otomatis dari model aktif)",
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"added_rows": 50,
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"cumulative_added_rows": 149,
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"audit": {
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"uploaded_rows": 50,
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"accepted_rows": 50,
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"skipped_rows": [],
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"training_before": 555,
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"selected_column": "ulasan"
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},
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"skipped": {
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"duplicate": 0,
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"empty": 0,
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"unknown": 0
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},
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"test_seed_sha256": "79ba16d91783a5652de77c6299ac17313188afe5761645c4895516aa8ae9f105",
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"training_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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} |