Run
439481

Run 439481

Task 96 (Learning Curve) diabetes Uploaded 15-05-2015 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
0.7797 ± 0.058
Per class
F measure
0.7454 ± 0.0474
Per class
Kappa
0.433 ± 0.1071
KB relative information score
0.3022 ± 0.0679
Mean absolute error
0.3218 ± 0.0267
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7441 ± 0.0485
Per class
Predictive accuracy
0.7493 ± 0.0453
Prior entropy
0.9331 ± 0.0044
Recall
0.7493 ± 0.0453
Per class
Relative absolute error
0.708 ± 0.0588
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4186 ± 0.031
Root relative squared error
0.8781 ± 0.065
SciMark benchmark
904.333
UserCPU time millis
10
UserCPU time millis training
10