Run
22960

Run 22960

Task 31 (Supervised Classification) credit-g Uploaded 23-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_J48(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(1)_I10
weka.Bagging_J48(1)_P100
weka.Bagging_J48(1)_S1
weka.Bagging_J48(1)_Wweka.classifiers.trees.J48
weka.Bagging_J48(1)_num-slots1
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.7535
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7245
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3224
Cross-validation details (10-fold Crossvalidation)
KB relative information score
200.5606
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3294
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
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
0.7227
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.739
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.739
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.784
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4207
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.918
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.8059[547.29859434141961015.7906865781697484.10363182779514907.38665814554741759.4501199261804]