Run
304189

Run 304189

Task 1701 (Learning Curve) anneal Uploaded 18-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.9617 ± 0.0195
Per class
F measure
0.9068 ± 0.0419
Per class
Kappa
0.7693 ± 0.081
KB relative information score
0.7223 ± 0.0706
Mean absolute error
0.0426 ± 0.0089
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9091 ± 0.0427
Per class
Predictive accuracy
0.9087 ± 0.0339
Prior entropy
1.1915 ± 0.026
Recall
0.9087 ± 0.0339
Per class
Relative absolute error
0.3174 ± 0.0649
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1516 ± 0.0228
Root relative squared error
0.5872 ± 0.0873
SciMark benchmark
1328.1294
UserCPU time millis
10
UserCPU time millis training
10