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update metrix evaluation

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ja'far shodiq 2025-04-20 00:08:41 +07:00
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dashboard/datasets/evaluation_results_combine.csv
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model,Confusion Matrix,Classification Report,Cross-Validation Scores,Mean CV Score,Std Dev CV Score
SVM,[500 71 20 15 558 18 12 45 534],"{'Negatif': {'precision': 0.9487666034155597, 'recall': 0.8460236886632826, 'f1-score': 0.8944543828264758, 'support': 591.0}, 'Netral': {'precision': 0.827893175074184, 'recall': 0.9441624365482234, 'f1-score': 0.8822134387351779, 'support': 591.0}, 'Positif': {'precision': 0.9335664335664335, 'recall': 0.9035532994923858, 'f1-score': 0.9183147033533964, 'support': 591.0}, 'accuracy': 0.8979131415679639, 'macro avg': {'precision': 0.9034087373520592, 'recall': 0.8979131415679639, 'f1-score': 0.8983275083050167, 'support': 1773.0}, 'weighted avg': {'precision': 0.9034087373520592, 'recall': 0.8979131415679639, 'f1-score': 0.8983275083050166, 'support': 1773.0}}","[0.8155668358714044, 0.8217710095882684, 0.8798646362098139, 0.9419063733784546, 0.9187817258883249]",0.8755781161872532,0.0505587229522866
Naïve Bayes,[225 187 179 4 579 8 48 79 464],"{'Negatif': {'precision': 0.8122743682310469, 'recall': 0.38071065989847713, 'f1-score': 0.5184331797235023, 'support': 591.0}, 'Netral': {'precision': 0.685207100591716, 'recall': 0.9796954314720813, 'f1-score': 0.8064066852367688, 'support': 591.0}, 'Positif': {'precision': 0.7127496159754224, 'recall': 0.7851099830795262, 'f1-score': 0.7471819645732689, 'support': 591.0}, 'accuracy': 0.7151720248166948, 'macro avg': {'precision': 0.7367436949327284, 'recall': 0.7151720248166948, 'f1-score': 0.6906739431778467, 'support': 1773.0}, 'weighted avg': {'precision': 0.7367436949327284, 'recall': 0.7151720248166948, 'f1-score': 0.6906739431778467, 'support': 1773.0}}","[0.6802030456852792, 0.6965595036661026, 0.6999435984207558, 0.7439368302312465, 0.7693175408911449]",0.7179921037789059,0.0332281420796022
KNN,[ 97 347 147 1 580 10 3 120 468],"{'Negatif': {'precision': 0.9603960396039604, 'recall': 0.16412859560067683, 'f1-score': 0.28034682080924855, 'support': 591.0}, 'Netral': {'precision': 0.55396370582617, 'recall': 0.9813874788494078, 'f1-score': 0.7081807081807082, 'support': 591.0}, 'Positif': {'precision': 0.7488, 'recall': 0.7918781725888325, 'f1-score': 0.7697368421052632, 'support': 591.0}, 'accuracy': 0.6457980823463056, 'macro avg': {'precision': 0.7543865818100435, 'recall': 0.6457980823463058, 'f1-score': 0.5860881236984067, 'support': 1773.0}, 'weighted avg': {'precision': 0.7543865818100435, 'recall': 0.6457980823463056, 'f1-score': 0.5860881236984066, 'support': 1773.0}}","[0.5640157924421884, 0.5747320924985899, 0.6424139875916526, 0.757473209249859, 0.6728708403835307]",0.6423011844331642,0.0705596154664938
SVM,[487 85 19 16 561 14 15 35 541],"{'Negatif': {'precision': 0.9401544401544402, 'recall': 0.8240270727580372, 'f1-score': 0.8782687105500451, 'support': 591.0}, 'Netral': {'precision': 0.8237885462555066, 'recall': 0.949238578680203, 'f1-score': 0.8820754716981132, 'support': 591.0}, 'Positif': {'precision': 0.9425087108013938, 'recall': 0.9153976311336718, 'f1-score': 0.9287553648068669, 'support': 591.0}, 'accuracy': 0.8962210941906373, 'macro avg': {'precision': 0.9021505657371135, 'recall': 0.8962210941906372, 'f1-score': 0.8963665156850084, 'support': 1773.0}, 'weighted avg': {'precision': 0.9021505657371134, 'recall': 0.8962210941906373, 'f1-score': 0.8963665156850085, 'support': 1773.0}}","[0.7952622673434856, 0.8398195149464185, 0.8341793570219966, 0.9317540891144952, 0.9458544839255499]",0.8693739425,0.05889858969
Naïve Bayes,[226 181 184 3 588 0 52 84 455],"{'Negatif': {'precision': 0.8042704626334519, 'recall': 0.3824027072758037, 'f1-score': 0.518348623853211, 'support': 591.0}, 'Netral': {'precision': 0.6893317702227433, 'recall': 0.9949238578680203, 'f1-score': 0.814404432132964, 'support': 591.0}, 'Positif': {'precision': 0.7120500782472613, 'recall': 0.7698815566835872, 'f1-score': 0.7398373983739838, 'support': 591.0}, 'accuracy': 0.7157360406091371, 'macro avg': {'precision': 0.7352174370344855, 'recall': 0.7157360406091371, 'f1-score': 0.6908634847867196, 'support': 1773.0}, 'weighted avg': {'precision': 0.7352174370344854, 'recall': 0.7157360406091371, 'f1-score': 0.6908634847867196, 'support': 1773.0}}","[0.6864072194021432, 0.6920473773265652, 0.6954314720812182, 0.7461928934010152, 0.7552171460800903]",0.7150592217,0.0293860347
KNN,[ 96 370 125 0 582 9 8 119 464],"{'Negatif': {'precision': 0.9230769230769231, 'recall': 0.16243654822335024, 'f1-score': 0.2762589928057554, 'support': 591.0}, 'Netral': {'precision': 0.5434173669467787, 'recall': 0.9847715736040609, 'f1-score': 0.7003610108303249, 'support': 591.0}, 'Positif': {'precision': 0.7759197324414716, 'recall': 0.7851099830795262, 'f1-score': 0.7804878048780488, 'support': 591.0}, 'accuracy': 0.6441060349689791, 'macro avg': {'precision': 0.7474713408217245, 'recall': 0.6441060349689791, 'f1-score': 0.585702602838043, 'support': 1773.0}, 'weighted avg': {'precision': 0.7474713408217244, 'recall': 0.6441060349689791, 'f1-score': 0.585702602838043, 'support': 1773.0}}","[0.5673998871968415, 0.5865764241398759, 0.5831923293852228, 0.727580372250423, 0.7687535250987028]",0.6467005076,0.08411334507

1 model Confusion Matrix Classification Report Cross-Validation Scores Mean CV Score Std Dev CV Score
2 SVM [500 71 20 15 558 18 12 45 534] [487 85 19 16 561 14 15 35 541] {'Negatif': {'precision': 0.9487666034155597, 'recall': 0.8460236886632826, 'f1-score': 0.8944543828264758, 'support': 591.0}, 'Netral': {'precision': 0.827893175074184, 'recall': 0.9441624365482234, 'f1-score': 0.8822134387351779, 'support': 591.0}, 'Positif': {'precision': 0.9335664335664335, 'recall': 0.9035532994923858, 'f1-score': 0.9183147033533964, 'support': 591.0}, 'accuracy': 0.8979131415679639, 'macro avg': {'precision': 0.9034087373520592, 'recall': 0.8979131415679639, 'f1-score': 0.8983275083050167, 'support': 1773.0}, 'weighted avg': {'precision': 0.9034087373520592, 'recall': 0.8979131415679639, 'f1-score': 0.8983275083050166, 'support': 1773.0}} {'Negatif': {'precision': 0.9401544401544402, 'recall': 0.8240270727580372, 'f1-score': 0.8782687105500451, 'support': 591.0}, 'Netral': {'precision': 0.8237885462555066, 'recall': 0.949238578680203, 'f1-score': 0.8820754716981132, 'support': 591.0}, 'Positif': {'precision': 0.9425087108013938, 'recall': 0.9153976311336718, 'f1-score': 0.9287553648068669, 'support': 591.0}, 'accuracy': 0.8962210941906373, 'macro avg': {'precision': 0.9021505657371135, 'recall': 0.8962210941906372, 'f1-score': 0.8963665156850084, 'support': 1773.0}, 'weighted avg': {'precision': 0.9021505657371134, 'recall': 0.8962210941906373, 'f1-score': 0.8963665156850085, 'support': 1773.0}} [0.8155668358714044, 0.8217710095882684, 0.8798646362098139, 0.9419063733784546, 0.9187817258883249] [0.7952622673434856, 0.8398195149464185, 0.8341793570219966, 0.9317540891144952, 0.9458544839255499] 0.8755781161872532 0.8693739425 0.0505587229522866 0.05889858969
3 Naïve Bayes [225 187 179 4 579 8 48 79 464] [226 181 184 3 588 0 52 84 455] {'Negatif': {'precision': 0.8122743682310469, 'recall': 0.38071065989847713, 'f1-score': 0.5184331797235023, 'support': 591.0}, 'Netral': {'precision': 0.685207100591716, 'recall': 0.9796954314720813, 'f1-score': 0.8064066852367688, 'support': 591.0}, 'Positif': {'precision': 0.7127496159754224, 'recall': 0.7851099830795262, 'f1-score': 0.7471819645732689, 'support': 591.0}, 'accuracy': 0.7151720248166948, 'macro avg': {'precision': 0.7367436949327284, 'recall': 0.7151720248166948, 'f1-score': 0.6906739431778467, 'support': 1773.0}, 'weighted avg': {'precision': 0.7367436949327284, 'recall': 0.7151720248166948, 'f1-score': 0.6906739431778467, 'support': 1773.0}} {'Negatif': {'precision': 0.8042704626334519, 'recall': 0.3824027072758037, 'f1-score': 0.518348623853211, 'support': 591.0}, 'Netral': {'precision': 0.6893317702227433, 'recall': 0.9949238578680203, 'f1-score': 0.814404432132964, 'support': 591.0}, 'Positif': {'precision': 0.7120500782472613, 'recall': 0.7698815566835872, 'f1-score': 0.7398373983739838, 'support': 591.0}, 'accuracy': 0.7157360406091371, 'macro avg': {'precision': 0.7352174370344855, 'recall': 0.7157360406091371, 'f1-score': 0.6908634847867196, 'support': 1773.0}, 'weighted avg': {'precision': 0.7352174370344854, 'recall': 0.7157360406091371, 'f1-score': 0.6908634847867196, 'support': 1773.0}} [0.6802030456852792, 0.6965595036661026, 0.6999435984207558, 0.7439368302312465, 0.7693175408911449] [0.6864072194021432, 0.6920473773265652, 0.6954314720812182, 0.7461928934010152, 0.7552171460800903] 0.7179921037789059 0.7150592217 0.0332281420796022 0.0293860347
4 KNN [ 97 347 147 1 580 10 3 120 468] [ 96 370 125 0 582 9 8 119 464] {'Negatif': {'precision': 0.9603960396039604, 'recall': 0.16412859560067683, 'f1-score': 0.28034682080924855, 'support': 591.0}, 'Netral': {'precision': 0.55396370582617, 'recall': 0.9813874788494078, 'f1-score': 0.7081807081807082, 'support': 591.0}, 'Positif': {'precision': 0.7488, 'recall': 0.7918781725888325, 'f1-score': 0.7697368421052632, 'support': 591.0}, 'accuracy': 0.6457980823463056, 'macro avg': {'precision': 0.7543865818100435, 'recall': 0.6457980823463058, 'f1-score': 0.5860881236984067, 'support': 1773.0}, 'weighted avg': {'precision': 0.7543865818100435, 'recall': 0.6457980823463056, 'f1-score': 0.5860881236984066, 'support': 1773.0}} {'Negatif': {'precision': 0.9230769230769231, 'recall': 0.16243654822335024, 'f1-score': 0.2762589928057554, 'support': 591.0}, 'Netral': {'precision': 0.5434173669467787, 'recall': 0.9847715736040609, 'f1-score': 0.7003610108303249, 'support': 591.0}, 'Positif': {'precision': 0.7759197324414716, 'recall': 0.7851099830795262, 'f1-score': 0.7804878048780488, 'support': 591.0}, 'accuracy': 0.6441060349689791, 'macro avg': {'precision': 0.7474713408217245, 'recall': 0.6441060349689791, 'f1-score': 0.585702602838043, 'support': 1773.0}, 'weighted avg': {'precision': 0.7474713408217244, 'recall': 0.6441060349689791, 'f1-score': 0.585702602838043, 'support': 1773.0}} [0.5640157924421884, 0.5747320924985899, 0.6424139875916526, 0.757473209249859, 0.6728708403835307] [0.5673998871968415, 0.5865764241398759, 0.5831923293852228, 0.727580372250423, 0.7687535250987028] 0.6423011844331642 0.6467005076 0.0705596154664938 0.08411334507