Run
50362

Run 50362

Task 3 (Supervised Classification) kr-vs-kp Uploaded 06-11-2014 by Manuel Martin Salvador
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NaiveBayes(2)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.

21 Evaluation measures

Area under ROC curve
0.9513
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.002
Cross-validation details (10-fold Crossvalidation)
Build memory
141257568.3254
Cross-validation details (10-fold Crossvalidation)
F measure
0.8741
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7477
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1943.5869
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2095
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_13, amd64, Windows 7, 6.1]
Precision
0.8743
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8742
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.8742
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4199
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3036
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6078
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1469.6837