Run
468219

Run 468219

Task 237 (Supervised Classification) audiology Uploaded 22-07-2015 by Joaquin Vanschoren
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Flow

weka.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_M1.0

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
0.9006
Per class
Cross-validation details (33% Holdout set)
F measure
0.5876
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5813
Cross-validation details (33% Holdout set)
KB relative information score
38.6093
Cross-validation details (33% Holdout set)
Mean absolute error
0.0334
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0736
Cross-validation details (33% Holdout set)
Number of instances
74
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5814
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6351
Cross-validation details (33% Holdout set)
Prior entropy
3.6349
Cross-validation details (33% Holdout set)
Recall
0.6351
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.454
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.1925
Cross-validation details (33% Holdout set)
Root mean squared error
0.16
Cross-validation details (33% Holdout set)
Root relative squared error
0.8312
Cross-validation details (33% Holdout set)
SciMark benchmark
941.6675
UserCPU time millis
90
Cross-validation details (33% Holdout set)
UserCPU time millis testing
80
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)