Perbandingan 5 Algoritma ML

Analisis komparatif performa model Machine Learning

Linear Regression

15.71

MAE | RMSE: 20.67 | R²: 0.281

🏆 TERBAIK

ANN

14.91

MAE | RMSE: 20.18 | R²: 0.315

RNN/LSTM

1.47

MAE | RMSE: 1.71 | Time Series

K-Means

0.42

Silhouette Score | 4 Clusters

Backpropagation

45.63

MAE | RMSE: 50.59 | Manual

📊 Perbandingan MAE

📈 Perbandingan R² Score

🎯 Radar Performa Model

⚡ RMSE Perbandingan

📋 Tabel Lengkap Perbandingan

Algoritma	MAE	RMSE	R²	Keterangan
ANN 🏆	14.91	20.18	0.315	✅ Terbaik untuk prediksi
Linear Regression	15.71	20.67	0.281	Baseline model
RNN/LSTM	1.47	1.71	N/A	Terbaik untuk time series
K-Means	N/A	N/A	N/A	Silhouette: 0.42 \| 4 Clusters
Backpropagation	45.63	50.59	-3.307	Implementasi manual NumPy