Performa Model

Evaluasi Model Random Forest

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

100.0%
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
8
True Positive
0
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 1.00 1.00 8
Poisonous 1.00 1.00 1.00 9
Macro Avg 1.00 1.00 1.00 17
Weighted Avg 1.00 1.00 1.00 17
Feature Importance

10 fitur piksel paling berpengaruh dalam klasifikasi

1
Pixel Feature 1
1.6928%
2
Pixel Feature 2
1.6845%
3
Pixel Feature 3
1.6612%
4
Pixel Feature 4
1.6503%
5
Pixel Feature 5
1.5277%
6
Pixel Feature 6
1.5017%
7
Pixel Feature 7
1.4422%
8
Pixel Feature 8
1.3471%
9
Pixel Feature 9
1.3306%
10
Pixel Feature 10
1.0%