Komparasi Performa 5 Algoritma ML
Analisis performa Machine Learning dan Deep Learning untuk prediksi harga emas.
Statistik Akurasi Model
5 Model Aktif| Model | RMSE | MAE | R-Squared (R²) | Akurasi | Status Training |
|---|---|---|---|---|---|
| Linear Regression | 0.021 | 0.018 | 0.95 | 95% | Selesai |
| ANN | 0.015 | 0.011 | 0.97 | 97% | Selesai |
| LSTM (RNN) | 0.010 | 0.008 | 0.98 | 98% | Selesai |
| Backpropagation | 0.018 | 0.014 | 0.96 | 96% | Selesai |
| K-Means (Cluster) | - | - | - | Clustering | Selesai |
Training Loss Curve (ANN vs LSTM)
Visualisasi proses training model deep learning.
Actual vs Predicted Price Comparison
Perbandingan harga asli dan hasil prediksi model.
Residual Plot Analysis
Analisis error model Linear Regression terhadap data asli.
K-Means Clustering Analysis
Visualisasi pengelompokan zona harga secara otomatis.
Interpretasi Zona Cluster (K-Means):
Biru
Level Tinggi (High Trend)
Ungu
Level Moderat (Normal)
Kuning
Level Rendah (Sideways)