Run
578855

Run 578855

Task 2079 (Supervised Classification) eucalyptus Uploaded 04-06-2016 by Jan van Rijn
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Flow

weka.NBTree(6)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
0.8179
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5423
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4128
Cross-validation details (10-fold Crossvalidation)
KB relative information score
333.1312
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1916
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.5452
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6116
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3803
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.961
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1333.1088
UserCPU time millis
1630
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1570
Cross-validation details (10-fold Crossvalidation)