Run
17482

Run 17482

Task 31 (Supervised Classification) credit-g Uploaded 08-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_RandomTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(1)_I20
weka.Bagging_RandomTree(1)_P100
weka.Bagging_RandomTree(1)_S1
weka.Bagging_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(1)_num-slots1
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(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
0.7544
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7156
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.295
Cross-validation details (10-fold Crossvalidation)
KB relative information score
169.6464
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3437
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
0.7209
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.74
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.74
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8181
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4174
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9108
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
921.3399[566.6798574038928889.2271208224959483.44967579697345914.66854765231311752.6744042525834]