Run
462935

Run 462935

Task 85 (Learning Curve) nursery Uploaded 06-07-2015 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.

20 Evaluation measures

Area under ROC curve
0.9953 ± 0.0016
Per class
Kappa
0.9582 ± 0.0068
KB relative information score
0.9515 ± 0.0061
Mean absolute error
0.0151 ± 0.0016
Mean prior absolute error
0.273 ± 0.0001
Number of instances
129600
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.9715 ± 0.0046
Prior entropy
1.7165 ± 0.0037
Recall
0.9715 ± 0.0046
Per class
Relative absolute error
0.0552 ± 0.0059
Root mean prior squared error
0.3695 ± 0.0001
Root mean squared error
0.0942 ± 0.0073
Root relative squared error
0.2549 ± 0.0197
SciMark benchmark
944.4979