Run
461680

Run 461680

Task 93 (Learning Curve) postoperative-patient-data Uploaded 04-07-2015 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
0.4247 ± 0.0233
Per class
Kappa
-0.0148 ± 0.0538
KB relative information score
0.0079 ± 0.0393
Mean absolute error
0.284 ± 0.0197
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.7033 ± 0.0633
Prior entropy
0.983 ± 0.181
Recall
0.7033 ± 0.0633
Per class
Relative absolute error
0.9895 ± 0.0276
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.3786 ± 0.0291
Root relative squared error
1.0084 ± 0.0283
SciMark benchmark
944.4979