OpenML
377679

Run 377679

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.5461
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7188
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-76.3388
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3115
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3138
Cross-validation details (10-fold Crossvalidation)
Number of instances
797
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6489
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8055
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7123
Cross-validation details (10-fold Crossvalidation)
Recall
0.8055
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9929
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3958
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3982
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.006
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1292.514
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)