Random forest¶
| Field | Type | Orange's equivalent | Python's default | Orange's default |
|---|---|---|---|---|
n_estimators |
list(int) | Number of trees. | 10 |
10 |
max_features |
list(int | str | null) | Number of attributes considered at each split. | sqrt |
Disabled: sqrt, enabled: 5 |
random_state |
list(int | null) | Replicable training. | None |
Disabled: None, enabled: 0 |
class_weight |
list(str | null) | Balance class distribution. | None |
None |
max_depth |
list(int | null) | Limit depth of individual trees. | None |
Disabled: None, enabled: 3 |
min_samples_split |
list(int) | Do not split subsets smaller than. | 2 |
5 |
For reference: Orange/widgets/model/owrandomforest.py.