Run
386933

Run 386933

Task 231 (Supervised Classification) anneal Uploaded 05-04-2015 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
0.9835
Per class
Cross-validation details (33% Holdout set)
F measure
0.9598
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9229
Cross-validation details (33% Holdout set)
KB relative information score
281.7069
Cross-validation details (33% Holdout set)
Mean absolute error
0.0126
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.141
Cross-validation details (33% Holdout set)
Number of instances
296
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9542
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9662
Cross-validation details (33% Holdout set)
Prior entropy
1.2149
Cross-validation details (33% Holdout set)
Recall
0.9662
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0892
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2709
Cross-validation details (33% Holdout set)
Root mean squared error
0.1067
Cross-validation details (33% Holdout set)
Root relative squared error
0.3938
Cross-validation details (33% Holdout set)
SciMark benchmark
949.7766
UserCPU time millis
2140
Cross-validation details (33% Holdout set)
UserCPU time millis testing
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
2090
Cross-validation details (33% Holdout set)