Run
447804

Run 447804

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 18-05-2015 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
0.7882
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8277
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2262
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.5042
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1822
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8189
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8497
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8497
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7401
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3344
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9549
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.404
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)