Run
477441

Run 477441

Task 7 (Supervised Classification) audiology Uploaded 30-11-2015 by Bingchen Li
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Flow

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.9223
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.775
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7626
Cross-validation details (10-fold Crossvalidation)
KB relative information score
157.3475
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0215
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0724
Cross-validation details (10-fold Crossvalidation)
Number of instances
226
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Apple Inc., 1.6.0_65, x86_64, Mac OS X, 10.10.5]
Precision
0.7588
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7965
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6349
Cross-validation details (10-fold Crossvalidation)
Recall
0.7965
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2965
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1893
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1194
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6308
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1094.0306
UserCPU time millis
27.846
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
11.024
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
16.822
Cross-validation details (10-fold Crossvalidation)