Run
145183

Run 145183

Task 3912 (Supervised Classification) ar5 Uploaded 31-01-2015 by Joaquin Vanschoren
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weka.AdaBoostM1_BayesianLogisticRegression(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BayesianLogisticRegression(2)_I10
weka.AdaBoostM1_BayesianLogisticRegression(2)_P100
weka.AdaBoostM1_BayesianLogisticRegression(2)_S1
weka.AdaBoostM1_BayesianLogisticRegression(2)_Wweka.classifiers.bayes.BayesianLogisticRegression
weka.BayesianLogisticRegression(2)_Dtrue
weka.BayesianLogisticRegression(2)_F2
weka.BayesianLogisticRegression(2)_H1
weka.BayesianLogisticRegression(2)_I100
weka.BayesianLogisticRegression(2)_Ntrue
weka.BayesianLogisticRegression(2)_P1
weka.BayesianLogisticRegression(2)_RR:0.01-316,3.16
weka.BayesianLogisticRegression(2)_S0.5
weka.BayesianLogisticRegression(2)_Tl5.0E-4
weka.BayesianLogisticRegression(2)_V0.27
weka.BayesianLogisticRegression(2)_seed1

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.

22 Evaluation measures

Area under ROC curve
0.2679
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4575
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.3796
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-30.7495
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5833
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3538
Cross-validation details (10-fold Crossvalidation)
Number of instances
36
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
0.5072
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4167
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7897
Cross-validation details (10-fold Crossvalidation)
Recall
0.4167
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.6488
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7638
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.836
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
917.1386
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)