Run
2089445

Run 2089445

Task 49 (Supervised Classification) tic-tac-toe Uploaded 03-05-2017 by Jeroen van Hoof
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Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn. tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(6)_class_weightNone
sklearn.tree.tree.DecisionTreeClassifier(6)_criteriongini
sklearn.tree.tree.DecisionTreeClassifier(6)_max_depthNone
sklearn.tree.tree.DecisionTreeClassifier(6)_max_featuresNone
sklearn.tree.tree.DecisionTreeClassifier(6)_max_leaf_nodesNone
sklearn.tree.tree.DecisionTreeClassifier(6)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(6)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(6)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(6)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(6)_presortFalse
sklearn.tree.tree.DecisionTreeClassifier(6)_random_stateNone
sklearn.tree.tree.DecisionTreeClassifier(6)_splitterbest
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_algorithmSAMME.R
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_base_estimatorDecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, max_features=None, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=1, min_samples_split=2, min_weight_fraction_leaf=0.0, presort=False, random_state=None, splitter='best')
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_random_stateNone

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.86
Per class
Cross-validation details (10-fold Crossvalidation)
0.8781
Per class
Cross-validation details (10-fold Crossvalidation)
0.7292
Cross-validation details (10-fold Crossvalidation)
690.873
Cross-validation details (10-fold Crossvalidation)
0.1211
Cross-validation details (10-fold Crossvalidation)
0.453
Cross-validation details (10-fold Crossvalidation)
958
Per class
Cross-validation details (10-fold Crossvalidation)
0.8779
Per class
Cross-validation details (10-fold Crossvalidation)
0.8789
Cross-validation details (10-fold Crossvalidation)
0.9312
Cross-validation details (10-fold Crossvalidation)
0.8789
Per class
Cross-validation details (10-fold Crossvalidation)
0.2673
Cross-validation details (10-fold Crossvalidation)
0.4759
Cross-validation details (10-fold Crossvalidation)
0.348
Cross-validation details (10-fold Crossvalidation)
0.7312
Cross-validation details (10-fold Crossvalidation)