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chore: change classification report value

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Mahen 2026-03-08 10:51:21 +07:00
parent a95121e43c
commit 54aa99aabf
1 changed files with 12 additions and 12 deletions
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24
prisma/seed.ts
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@ -8,30 +8,30 @@ async function main() {
modelName: "Model XGBoost (Baseline)", modelName: "Model XGBoost (Baseline)",
description: description:
"Model awal menggunakan parameter default XGBoost (learning_rate=0.3, max_depth=6) pada dataset yang tidak seimbang.", "Model awal menggunakan parameter default XGBoost (learning_rate=0.3, max_depth=6) pada dataset yang tidak seimbang.",
accuracy: 0.8, accuracy: 0.71,
macroF1: 0.56, macroF1: 0.62,
f1Negative: 0.61, f1Negative: 0.67,
f1Neutral: 0.16, f1Neutral: 0.34,
isActive: false, isActive: false,
}, },
{ {
modelName: "Model XGBoost (Tuned)", modelName: "Model XGBoost (Tuned)",
description: description:
"Model dengan optimasi Hyperparameter menggunakan Grid Search untuk mencari kombinasi learning_rate dan max_depth terbaik.", "Model dengan optimasi Hyperparameter menggunakan Grid Search untuk mencari kombinasi learning_rate dan max_depth terbaik.",
accuracy: 0.81, accuracy: 0.73,
macroF1: 0.58, macroF1: 0.66,
f1Negative: 0.65, f1Negative: 0.69,
f1Neutral: 0.17, f1Neutral: 0.42,
isActive: false, isActive: false,
}, },
{ {
modelName: "Model XGBoost (Optimized)", modelName: "Model XGBoost (Optimized)",
description: description:
"Model final menggunakan teknik SMOTE untuk menyeimbangkan kelas, seleksi fitur Chi-Square, dan optimasi Grid Search.", "Model final menggunakan teknik SMOTE untuk menyeimbangkan kelas, seleksi fitur Chi-Square, dan optimasi Grid Search.",
accuracy: 0.82, accuracy: 0.72,
macroF1: 0.61, macroF1: 0.66,
f1Negative: 0.65, f1Negative: 0.68,
f1Neutral: 0.27, f1Neutral: 0.43,
isActive: true, isActive: true,
}, },
]; ];