Performa Model

Evaluasi Model Random Forest

Hasil evaluasi lengkap model meliputi akurasi, confusion matrix, classification report, dan feature importance

94.12%
Akurasi Model
83
Total Dataset
66
Data Training
17
Data Testing
Confusion Matrix

Visualisasi prediksi benar dan salah per kelas

Pred Edible Pred Poisonous
Actual Edible
7
True Positive
1
False Negative
Actual Poisonous
0
False Positive
9
True Negative
Classification Report

Precision, Recall, dan F1-Score per kelas

Kelas Precision Recall F1-Score Support
Edible 1.00 0.88 0.93 8
Poisonous 0.90 1.00 0.95 9
Macro Avg 0.95 0.94 0.94 17
Weighted Avg 0.95 0.94 0.94 17
Feature Importance

10 fitur piksel paling berpengaruh dalam klasifikasi

1
Pixel Feature 1
1.6597%
2
Pixel Feature 2
1.5236%
3
Pixel Feature 3
1.4076%
4
Pixel Feature 4
1.3582%
5
Pixel Feature 5
1.3317%
6
Pixel Feature 6
1.1422%
7
Pixel Feature 7
1.1158%
8
Pixel Feature 8
0.9656%
9
Pixel Feature 9
0.8791%
10
Pixel Feature 10
0.8293%