Run
476636

Run 476636

Task 4234 (Supervised Classification) oh5.wc Uploaded 08-11-2015 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
0.9298
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7588
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7279
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
6377.856
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0674
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1775
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
9180
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
0.7631
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.759
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.2382
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.759
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3799
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2979
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1939
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6509
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
936.8075
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)