Run
21653

Run 21653

Task 49 (Supervised Classification) tic-tac-toe Uploaded 19-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I40
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9716
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9213
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8253
Cross-validation details (10-fold Crossvalidation)
KB relative information score
777.5874
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.083
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
0.9213
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9217
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9217
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1832
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2613
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.549
Cross-validation details (10-fold Crossvalidation)