Run
10651

Run 10651

Task 1 (Supervised Classification) anneal 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)_I80
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.

17 Evaluation measures

Area under ROC curve
0.9957
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9943
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9861
Cross-validation details (10-fold Crossvalidation)
KB relative information score
862.4035
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0022
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9944
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0161
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0438
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1697
Cross-validation details (10-fold Crossvalidation)