Run
504441

Run 504441

Task 10041 (Learning Curve) ada_agnostic Uploaded 02-01-2016 by Joaquin Vanschoren
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Flow

weka.Bagging_J48(5)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.Bagging_J48(5)_P100
weka.Bagging_J48(5)_S1
weka.Bagging_J48(5)_num-slots1
weka.Bagging_J48(5)_I10
weka.Bagging_J48(5)_Wweka.classifiers.trees.J48

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.

22 Evaluation measures

Area under ROC curve
0.8817 ± 0.0133
Per class
F measure
0.8333 ± 0.016
Per class
Kappa
0.5406 ± 0.0451
KB relative information score
1922.4961 ± 9.4562
Mean absolute error
0.2051 ± 0.0071
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8319 ± 0.0161
Per class
Predictive accuracy
0.8389 ± 0.015
Prior entropy
0.8085
Recall
0.8389 ± 0.015
Per class
Relative absolute error
0.5497 ± 0.0189
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.3367 ± 0.0102
Root relative squared error
0.7795 ± 0.0237
SciMark benchmark
869.4058
UserCPU time millis
5050
UserCPU time millis testing
20
UserCPU time millis training
5030