Run
12902

Run 12902

Task 49 (Supervised Classification) tic-tac-toe Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I20
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.8453
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7562
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4489
Cross-validation details (10-fold Crossvalidation)
KB relative information score
271.5329
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3336
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
0.766
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7693
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.7693
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7364
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3916
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.823
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.0075[565.39404163109531014.1868590421574482.36378704342826913.07556704216551760.0170946291457]