Run
248241

Run 248241

Task 4326 (Supervised Classification) sleuth_ex1605 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
0.8416
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7675
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5355
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
270.3126
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2898
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
620
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
0.7689
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7677
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7677
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5796
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.413
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.826
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1319.9329