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Best Suited Hyper Parameters for Each of the Prediction Algorithms
| Gradient Boosting Machine (GBM) | Random Forest (DRF) | Generalized Linear Model (GLM) |
|---|---|---|
| Learn rate = 0.01 | Ntrees = 100 | Alpha = 0.0186 |
| Sample rate = 0.8 | Mtries = 7 | Lambda = 0.963477 |
| Ntrees = 50 | Max depth = 7 | |
| Col sample rate = 1 | Sample rate = 0.2 | |
| Max depth = 3 |
