Run
23867

Run 23867

Task 29 (Supervised Classification) credit-approval Uploaded 28-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_OneR(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(1)_I160
weka.Bagging_OneR(1)_P100
weka.Bagging_OneR(1)_S1
weka.Bagging_OneR(1)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(1)_num-slots1
weka.OneR(1)_B6

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
0.862
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8554
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7116
Cross-validation details (10-fold Crossvalidation)
KB relative information score
486.4396
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1449
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8663
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2934
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.766
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
925.4558[562.4768140293269918.0347922878269480.4213690634573910.85475360997441755.4913676401159]