sklearn.tree.DecisionTreeClassifiersklearn.tree.DecisionTreeClassifier¶ class sklearn.tree.DecisionTreeClassifier(*, criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, class_weight=None, ccp_alpha=0.0, monotonic_cst=None)[source]¶ A decision tree classifier. Read more in the Us
[WIP] Decision tree export to javascript by tokoroten · Pull Request #5054 · scikit-learn/scikit-learn![[WIP] Decision tree export to javascript by tokoroten · Pull Request #5054 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/30e533e5ac6d7825f4f21412e87386830cdd2ad0/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F01ea0a057c20334990becc08cc6ce8b441fd2df506145c728cbff59db241ed01%2Fscikit-learn%2Fscikit-learn%2Fpull%2F5054)
[WIP] Categorical split for decision tree by MatthieuBizien · Pull Request #3346 · scikit-learn/scikit-learn![[WIP] Categorical split for decision tree by MatthieuBizien · Pull Request #3346 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/9b2fdf963d1410a6677e08e076cc0d97542213be/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Fbf7132a3cb1f343a957bd25b32ba488ca7e11ab1d23ead43bbe809c6518b0bc2%2Fscikit-learn%2Fscikit-learn%2Fpull%2F3346)
[MRG+1]: Add decision tree plotting. by nvdv · Pull Request #6380 · scikit-learn/scikit-learn![[MRG+1]: Add decision tree plotting. by nvdv · Pull Request #6380 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/944e7e79f4db2c823bf3775278f09c91a940b1e2/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Ffe0799c7217b44d8b9490cb326870a75c19ba5365d57c6ede31234131feeb4b7%2Fscikit-learn%2Fscikit-learn%2Fpull%2F6380)
