Run
1957522

Run 1957522

Task 49 (Supervised Classification) tic-tac-toe Uploaded 03-04-2017 by Jeroen van Hoof
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  • Mon_Apr__3_00.54.08_2017 NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,decis iontreeclassifier=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_depth19
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.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)_steps[('dualimputer', ), ('decisiontreeclassifier', DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=19, 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'))]

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

Area under ROC curve
0.8628
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8785
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7307
Cross-validation details (10-fold Crossvalidation)
KB relative information score
690.873
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1211
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8782
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8789
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8789
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2673
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.348
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7312
Cross-validation details (10-fold Crossvalidation)