Run
228124

Run 228124

Task 3773 (Supervised Classification) fri_c1_1000_10 Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.NaiveBayes(10)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
0.7476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6944
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3767
Cross-validation details (10-fold Crossvalidation)
KB relative information score
234.6725
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3881
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4918
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6942
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.696
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9882
Cross-validation details (10-fold Crossvalidation)
Recall
0.696
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7891
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4509
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9094
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1332.4146
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)