Run
50963

Run 50963

Task 1730 (Learning Curve) credit-g Uploaded 06-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

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

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
0.7649 ± 0.0528
Per class
Build CPU time
0.0766
Build memory
518851928.4444
F measure
0.7246 ± 0.0461
Per class
Kappa
0.3191 ± 0.1131
KB relative information score
0.0594 ± 0.0382
Mean absolute error
0.3865 ± 0.0115
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7266 ± 0.0517
Per class
Predictive accuracy
0.744 ± 0.0443
Prior entropy
0.8813
Recall
0.744 ± 0.0443
Per class
Relative absolute error
0.92 ± 0.0273
Root mean prior squared error
0.4583
Root mean squared error
0.4228 ± 0.0126
Root relative squared error
0.9227 ± 0.0275
SciMark benchmark
1633.1623