Supervised (Random Forest) | |
---|---|
Parameter | Value |
Number of Estimators | 420 |
Max depth | 176 |
Split criterion | Entropy |
Max features | 128 |
Min samples for split | 5 |
Min samples at leaf | 4 |
Supervised (Random Forest) | |
---|---|
Parameter | Value |
Number of Estimators | 420 |
Max depth | 176 |
Split criterion | Entropy |
Max features | 128 |
Min samples for split | 5 |
Min samples at leaf | 4 |