Run 10587922

Task 119 (Learning Curve) zoo Uploaded 26-08-2022 by Ilin Tolovski
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

sklearn.ensemble._forest.RandomForestClassifier(16)	A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is controlled with the `max_samples` parameter if `bootstrap=True` (default), otherwise the whole dataset is used to build each tree.
sklearn.ensemble._forest.RandomForestClassifier(16)_bootstrap	true
sklearn.ensemble._forest.RandomForestClassifier(16)_ccp_alpha	0.0
sklearn.ensemble._forest.RandomForestClassifier(16)_class_weight	null
sklearn.ensemble._forest.RandomForestClassifier(16)_criterion	"gini"
sklearn.ensemble._forest.RandomForestClassifier(16)_max_depth	null
sklearn.ensemble._forest.RandomForestClassifier(16)_max_features	"sqrt"
sklearn.ensemble._forest.RandomForestClassifier(16)_max_leaf_nodes	null
sklearn.ensemble._forest.RandomForestClassifier(16)_max_samples	null
sklearn.ensemble._forest.RandomForestClassifier(16)_min_impurity_decrease	0.0
sklearn.ensemble._forest.RandomForestClassifier(16)_min_samples_leaf	1
sklearn.ensemble._forest.RandomForestClassifier(16)_min_samples_split	2
sklearn.ensemble._forest.RandomForestClassifier(16)_min_weight_fraction_leaf	0.0
sklearn.ensemble._forest.RandomForestClassifier(16)_n_estimators	100
sklearn.ensemble._forest.RandomForestClassifier(16)_n_jobs	null
sklearn.ensemble._forest.RandomForestClassifier(16)_oob_score	false
sklearn.ensemble._forest.RandomForestClassifier(16)_random_state	18593
sklearn.ensemble._forest.RandomForestClassifier(16)_verbose	0
sklearn.ensemble._forest.RandomForestClassifier(16)_warm_start	false