OpenML
320870

Run 320870

Task 4335 (Supervised Classification) analcatdata_apnea3 Uploaded 25-03-2015 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
0.8974
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8913
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4444
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1605.9827
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1266
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2158
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8911
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9036
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.5405
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9036
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5868
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3275
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2456
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7499
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
940.3347
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)