OpenML
377641

Run 377641

Task 3670 (Supervised Classification) fri_c4_500_50 Uploaded 30-03-2015 by Joaquin Vanschoren
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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
0.8161
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7632
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5246
Cross-validation details (10-fold Crossvalidation)
KB relative information score
240.3469
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2647
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4984
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7644
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.764
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9978
Cross-validation details (10-fold Crossvalidation)
Recall
0.764
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.531
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4992
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4426
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8866
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1318.6467
UserCPU time millis
910
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
900
Cross-validation details (10-fold Crossvalidation)