Run
463525

Run 463525

Task 99 (Learning Curve) glass Uploaded 09-07-2015 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.

22 Evaluation measures

Area under ROC curve
0.8311 ± 0.0675
Per class
F measure
0.7084 ± 0.0821
Per class
Kappa
0.6101 ± 0.121
KB relative information score
0.5852 ± 0.0979
Mean absolute error
0.1066 ± 0.0201
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.714 ± 0.0781
Per class
Predictive accuracy
0.714 ± 0.0891
Prior entropy
2.1835 ± 0.0748
Recall
0.714 ± 0.0891
Per class
Relative absolute error
0.5036 ± 0.0933
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2588 ± 0.0374
Root relative squared error
0.7977 ± 0.1134
SciMark benchmark
921.1883