OpenML
322891

Run 322891

Task 1775 (Supervised Classification) balance-scale Uploaded 26-03-2015 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
0.8472
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7485
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.5892
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1262.8423
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2368
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
3125
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.74
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7779
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7779
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.6236
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3428
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.7871
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1347.993
UserCPU time millis
140
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
140
Cross-validation details (5 times 2-fold Crossvalidation)