OpenML
322960

Run 322960

Task 3493 (Supervised Classification) monks-problems-2 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
0.6114
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0034
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22.3051
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4236
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5458
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6356
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.6356
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9398
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4725
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9955
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1354.3488
UserCPU time millis
180
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
180
Cross-validation details (10-fold Crossvalidation)