OpenML
322917

Run 322917

Task 2944 (Supervised Classification) eucalyptus Uploaded 26-03-2015 by Jan van Rijn
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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
0.8154
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5398
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.41
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3345.9851
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1903
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
7360
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
0.5448
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5425
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5425
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6075
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3808
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9623
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1354.3488
UserCPU time millis
1590
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1550
Cross-validation details (10 times 10-fold Crossvalidation)