Run
504676

Run 504676

Task 10080 (Learning Curve) pc1 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
0.6542 ± 0.0808
Per class
F measure
0.9013 ± 0.0151
Per class
Kappa
0.0955 ± 0.1373
KB relative information score
-7263.3715 ± 10.0662
Mean absolute error
0.4893 ± 0.0048
Mean prior absolute error
0.1299 ± 0.0037
Number of instances
1109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8897 ± 0.0322
Per class
Predictive accuracy
0.9225 ± 0.0129
Prior entropy
0.3667
Recall
0.9225 ± 0.0129
Per class
Relative absolute error
3.7674 ± 0.1312
Root mean prior squared error
0.2542 ± 0.0073
Root mean squared error
0.491 ± 0.0038
Root relative squared error
1.9317 ± 0.0657
SciMark benchmark
940.4723
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10