Run
47007

Run 47007

Task 1775 (Supervised Classification) balance-scale Uploaded 05-11-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I160
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9898
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
40.6347
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
59157942.0109
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9152
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.8639
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
2375.561
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0991
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
3125
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
0.9143
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9245
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9245
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2611
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1975
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.4535
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
945.0883