Model Info#

from sklearn.ensemble import AdaBoostClassifier

from deepchecks.tabular.checks.overview import ModelInfo
clf = AdaBoostClassifier(learning_rate=1.2)
ModelInfo().run(clf)

Model Info

Summarize given model parameters.

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



Total running time of the script: ( 0 minutes 0.016 seconds)

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