Run
437198

Run 437198

Task 62 (Learning Curve) anneal Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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
0.9578 ± 0.026
Per class
F measure
0.9067 ± 0.0348
Per class
Kappa
0.7694 ± 0.084
KB relative information score
0.7082 ± 0.0704
Mean absolute error
0.0444 ± 0.0092
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9094 ± 0.0346
Per class
Predictive accuracy
0.9094 ± 0.0321
Prior entropy
1.1915 ± 0.0248
Recall
0.9094 ± 0.0321
Per class
Relative absolute error
0.3309 ± 0.0681
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1531 ± 0.0225
Root relative squared error
0.5929 ± 0.087
SciMark benchmark
921.1883
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10