Run
548668

Run 548668

Task 3483 (Supervised Classification) mammography Uploaded 05-04-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.NaiveBayes(13)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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
0.9161
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9648
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4165
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-18170.1437
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0526
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0455
Cross-validation details (10-fold Crossvalidation)
Number of instances
11183
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.9773
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9566
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1598
Cross-validation details (10-fold Crossvalidation)
Recall
0.9566
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1567
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1507
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.193
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2806
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1860.4354
UserCPU time millis
46.875
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
31.25
UserCPU time millis training
15.625
Cross-validation details (10-fold Crossvalidation)