Run
458519

Run 458519

Task 3032 (Supervised Classification) Australian Uploaded 03-07-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.9051
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8416
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.679
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
4212.7415
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2004
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
6900
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8417
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8419
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8419
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4057
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3462
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6967
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
939.8002