Run
34127

Run 34127

Task 1790 (Supervised Classification) nursery Uploaded 18-10-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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.

21 Evaluation measures

Area under ROC curve
0.997
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
843.5611
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
1027204582.4
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9669
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.9536
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
59821.9141
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0272
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
64800
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9676
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9685
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9685
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.0997
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1016
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.2751
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
899.1709