Run
89539

Run 89539

Task 3612 (Supervised Classification) fri_c1_250_25 Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NaiveBayesUpdateable(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
0.6745
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0019
Cross-validation details (10-fold Crossvalidation)
Build memory
374391163.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.6336
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2486
Cross-validation details (10-fold Crossvalidation)
KB relative information score
38.8179
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4192
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4897
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6328
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.636
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9852
Cross-validation details (10-fold Crossvalidation)
Recall
0.636
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.856
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4948
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4809
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.972
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.2554