Run
20254

Run 20254

Task 51 (Supervised Classification) trains Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_IBk(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_IBk(1)_I160
weka.Bagging_IBk(1)_P100
weka.Bagging_IBk(1)_S1
weka.Bagging_IBk(1)_Wweka.classifiers.lazy.IBk
weka.Bagging_IBk(1)_num-slots1
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.62
Per class
F measure
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.09
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4553
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9106
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5421
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0843
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.3996[557.97846463271251014.7208839634673482.7975877024999910.22226140528711766.2785639901995]