Run
9562

Run 9562

Task 51 (Supervised Classification) trains 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
0.48
Per class
F measure
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2.5992
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3661
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7322
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5859
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1718
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.8698[565.76084051053911015.7906865781697484.75925509327664911.48820099582031751.5501218345944]