DEVELOPMENT... OpenML
Run
187083

Run 187083

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 25-02-2015 by Jason
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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
0.9887
Per class
F measure
0.9892
Per class
Kappa
0.9783
KB relative information score
476.6408
Mean absolute error
0.0863
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9893
Per class
Predictive accuracy
0.9892
Prior entropy
0.9989
Recall
0.9892
Per class
Relative absolute error
0.1728
Root mean prior squared error
0.4996
Root mean squared error
0.1407
Root relative squared error
0.2816
SciMark benchmark
1368.9272
UserCPU time millis
80
UserCPU time millis training
80