Run
531936

Run 531936

Task 3747 (Supervised Classification) fri_c0_500_5 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.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
0.9274
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.834
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.668
Cross-validation details (10-fold Crossvalidation)
KB relative information score
240.9571
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2786
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.8341
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.834
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.834
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5573
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3418
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6836
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1850.8887
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)