Run
186818

Run 186818

Task 256 (Supervised Classification) nursery Uploaded 25-02-2015 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
0.996
Per class
Cross-validation details (33% Holdout set)
F measure
0.9639
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9481
Cross-validation details (33% Holdout set)
KB relative information score
3949.8542
Cross-validation details (33% Holdout set)
Mean absolute error
0.0246
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.273
Cross-validation details (33% Holdout set)
Number of instances
4276
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9646
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9647
Cross-validation details (33% Holdout set)
Prior entropy
1.7176
Cross-validation details (33% Holdout set)
Recall
0.9647
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0902
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3694
Cross-validation details (33% Holdout set)
Root mean squared error
0.1092
Cross-validation details (33% Holdout set)
Root relative squared error
0.2957
Cross-validation details (33% Holdout set)
SciMark benchmark
1346.9602
UserCPU time millis
4950
Cross-validation details (33% Holdout set)
UserCPU time millis testing
350
Cross-validation details (33% Holdout set)
UserCPU time millis training
4600
Cross-validation details (33% Holdout set)