Run
1973329

Run 1973329

Task 49 (Supervised Classification) tic-tac-toe Uploaded 03-04-2017 by Jeroen van Hoof
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  • Mon_Apr__3_22.37.36_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,svc=s klearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(5)_C1000
sklearn.svm.classes.SVC(5)_cache_size200
sklearn.svm.classes.SVC(5)_class_weightNone
sklearn.svm.classes.SVC(5)_coef00.0
sklearn.svm.classes.SVC(5)_decision_function_shapeNone
sklearn.svm.classes.SVC(5)_degree3
sklearn.svm.classes.SVC(5)_gamma0.03
sklearn.svm.classes.SVC(5)_kernelrbf
sklearn.svm.classes.SVC(5)_max_iter-1
sklearn.svm.classes.SVC(5)_probabilityTrue
sklearn.svm.classes.SVC(5)_random_stateNone
sklearn.svm.classes.SVC(5)_shrinkingTrue
sklearn.svm.classes.SVC(5)_tol1e-05
sklearn.svm.classes.SVC(5)_verboseFalse
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,svc=sklearn.svm.classes.SVC)(1)_steps[('dualimputer', ), ('svc', SVC(C=1000, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.03, kernel='rbf', max_iter=-1, probability=True, random_state=None, shrinking=True, tol=1e-05, verbose=False))]

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
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9793
Cross-validation details (10-fold Crossvalidation)
KB relative information score
915.091
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0221
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
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9906
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0488
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0893
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1876
Cross-validation details (10-fold Crossvalidation)