Run
23734

Run 23734

Task 11 (Supervised Classification) balance-scale Uploaded 27-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_JRip(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(1)_I160
weka.Bagging_JRip(1)_P100
weka.Bagging_JRip(1)_S1
weka.Bagging_JRip(1)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(1)_num-slots1
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(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
0.9525
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8502
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7893
Cross-validation details (10-fold Crossvalidation)
KB relative information score
335.7666
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.171
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
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
0.817
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8864
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.8864
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4502
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2593
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5953
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.0468[571.6947139934086987.1695626777254473.2224763010988912.43991219425081765.707548606275]