Run
187068

Run 187068

Task 3059 (Supervised Classification) pasture Uploaded 25-02-2015 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
0.874
Per class
Cross-validation details (33% Holdout set)
F measure
0.6534
Per class
Cross-validation details (33% Holdout set)
Kappa
0.443
Cross-validation details (33% Holdout set)
KB relative information score
6.3785
Cross-validation details (33% Holdout set)
Mean absolute error
0.2012
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
Cross-validation details (33% Holdout set)
Number of instances
11
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.75
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6364
Cross-validation details (33% Holdout set)
Prior entropy
1.585
Cross-validation details (33% Holdout set)
Recall
0.6364
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4527
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.3732
Cross-validation details (33% Holdout set)
Root relative squared error
0.7917
Cross-validation details (33% Holdout set)
SciMark benchmark
1368.9272
UserCPU time millis
110
UserCPU time millis training
110