Run
532547

Run 532547

Task 3862 (Supervised Classification) audiology Uploaded 05-03-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue

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
0.9612
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.931
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8226
Cross-validation details (10-fold Crossvalidation)
KB relative information score
171.651
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0822
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3783
Cross-validation details (10-fold Crossvalidation)
Number of instances
226
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.937
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9292
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8182
Cross-validation details (10-fold Crossvalidation)
Recall
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2173
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4343
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2303
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5304
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1806.5905
UserCPU time millis
15.6001
UserCPU time millis testing
15.6001