Run
1665053

Run 1665053

Task 49 (Supervised Classification) tic-tac-toe Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.VotedPerceptron(5)Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
weka.VotedPerceptron(5)_I1
weka.VotedPerceptron(5)_E1.0
weka.VotedPerceptron(5)_S1
weka.VotedPerceptron(5)_M10000

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.8311
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8643
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6939
Cross-validation details (10-fold Crossvalidation)
KB relative information score
669.3988
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1308
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
0.8749
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8695
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8695
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2888
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3608
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7582
Cross-validation details (10-fold Crossvalidation)