• API Reference - ModelInfo

Model Info

from sklearn.ensemble import AdaBoostClassifier

from deepchecks.tabular.checks 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

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

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