Run
504750

Run 504750

Task 10087 (Learning Curve) sylva_prior Uploaded 03-01-2016 by Joaquin Vanschoren
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Flow

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

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
0.9966 ± 0.0014
Per class
F measure
0.9098 ± 0.0008
Per class
Kappa
0.0146 ± 0.017
KB relative information score
-112762.4052 ± 9.2722
Mean absolute error
0.4884 ± 0.0001
Mean prior absolute error
0.1156 ± 0.0003
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.935 ± 0.0141
Per class
Predictive accuracy
0.9389 ± 0.0006
Prior entropy
0.3338
Recall
0.9389 ± 0.0006
Per class
Relative absolute error
4.2257 ± 0.0117
Root mean prior squared error
0.2403 ± 0.0006
Root mean squared error
0.4884 ± 0.0001
Root relative squared error
2.0322 ± 0.0056
SciMark benchmark
869.4058
UserCPU time millis
320
UserCPU time millis testing
160
UserCPU time millis training
160