Run
248390

Run 248390

Task 4488 (Supervised Classification) fri_c2_500_50 Uploaded 04-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.7736
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7933
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.575
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1950.3373
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3087
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4839
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7952
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7924
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9767
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7924
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.638
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4918
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4301
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8745
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1330.7934
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)