Run
20143

Run 20143

Task 49 (Supervised Classification) tic-tac-toe Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)_Wweka.classifiers.functions.MLPClassifier
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.MLPClassifier(1)_E1
weka.MLPClassifier(1)_N2
weka.MLPClassifier(1)_O1.0E-6
weka.MLPClassifier(1)_P1
weka.MLPClassifier(1)_R0.01
weka.MLPClassifier(1)_S1

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.

19 Evaluation measures

Area under ROC curve
0.8397
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7732
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4875
Cross-validation details (10-fold Crossvalidation)
KB relative information score
327.8598
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2989
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)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7837
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.785
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.785
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6599
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.385
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.809
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
908.6783[563.02150163949781013.6533959159474482.5806157404377911.17132945493631572.9647224496116]