Model InfoΒΆ
[1]:
from sklearn.ensemble import AdaBoostClassifier
from deepchecks.checks.overview import ModelInfo
clf = AdaBoostClassifier(learning_rate=1.2)
ModelInfo().run(clf)
Model Info
Summarize given model parameters. Read More...
Additional Outputs
Model Type: AdaBoostClassifier
| Parameter | Value | Default |
|---|---|---|
| algorithm | SAMME.R | SAMME.R |
| base_estimator | None | None |
| learning_rate | 1.20 | 1.00 |
| n_estimators | 50 | 50 |
| random_state | None | None |
Colored rows are parameters with non-default values