Run
387128

Run 387128

Task 2121 (Supervised Classification) abalone 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
0.7149
Per class
Cross-validation details (33% Holdout set)
F measure
0.2188
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1649
Cross-validation details (33% Holdout set)
KB relative information score
339.3817
Cross-validation details (33% Holdout set)
Mean absolute error
0.0537
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0618
Cross-validation details (33% Holdout set)
Number of instances
1378
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
0.2214
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.2634
Cross-validation details (33% Holdout set)
Prior entropy
3.6268
Cross-validation details (33% Holdout set)
Recall
0.2634
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8697
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.1757
Cross-validation details (33% Holdout set)
Root mean squared error
0.1828
Cross-validation details (33% Holdout set)
Root relative squared error
1.0406
Cross-validation details (33% Holdout set)
SciMark benchmark
879.4299
UserCPU time millis
1570
Cross-validation details (33% Holdout set)
UserCPU time millis testing
950
Cross-validation details (33% Holdout set)
UserCPU time millis training
620
Cross-validation details (33% Holdout set)