Run
304173

Run 304173

Task 95 (Learning Curve) segment Uploaded 18-03-2015 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
0.9843 ± 0.0067
Per class
F measure
0.9429 ± 0.0145
Per class
Kappa
0.9336 ± 0.0169
KB relative information score
0.9341 ± 0.0136
Mean absolute error
0.0205 ± 0.0038
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.943 ± 0.0142
Per class
Predictive accuracy
0.9431 ± 0.0145
Prior entropy
2.8074
Recall
0.9431 ± 0.0145
Per class
Relative absolute error
0.0837 ± 0.0153
Root mean prior squared error
0.3499
Root mean squared error
0.1177 ± 0.0142
Root relative squared error
0.3363 ± 0.0407
SciMark benchmark
1353.9654
UserCPU time millis
20
UserCPU time millis training
20