OpenML
15643

Run 15643

Task 22 (Supervised Classification) mfeat-zernike Uploaded 04-06-2014 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
0.9763
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7771
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.755
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1502.2841
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0717
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.7752
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7795
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7795
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3981
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1675
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5583
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
924.6431[516.8120414814815999.45800554378475.31730592400976896.21881802907471735.4093435786901]