Run
458313

Run 458313

Task 287 (Supervised Classification) ionosphere Uploaded 02-07-2015 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
0.9523
Per class
Cross-validation details (33% Holdout set)
F measure
0.9224
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8286
Cross-validation details (33% Holdout set)
KB relative information score
89.0323
Cross-validation details (33% Holdout set)
Mean absolute error
0.0967
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
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
0.9244
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9217
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.9217
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2126
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2629
Cross-validation details (33% Holdout set)
Root relative squared error
0.5547
Cross-validation details (33% Holdout set)
SciMark benchmark
938.5498
UserCPU time millis
1810
Cross-validation details (33% Holdout set)
UserCPU time millis testing
Cross-validation details (33% Holdout set)
UserCPU time millis training
1810
Cross-validation details (33% Holdout set)