Perform cross validation on a pruneable tree

Calculate the cross validation score of a pruneabletree.prune.PruneableDecisionTreeClassifier using the Reduced Error Pruning strategy trained on pairs of features of the iris dataset.

print(__doc__)

from sklearn.datasets import load_iris
from sklearn.model_selection import cross_val_score
from pruneabletree import PruneableDecisionTreeClassifier
clf = PruneableDecisionTreeClassifier(random_state=0, prune='rep')
iris = load_iris()
print(cross_val_score(clf, iris.data, iris.target, cv=10))

Total running time of the script: ( 0 minutes 0.000 seconds)