OpenML
322937

Run 322937

Task 3043 (Supervised Classification) sick Uploaded 26-03-2015 by Jan van Rijn
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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
0.8855
Per class
Cross-validation details (33% Holdout set)
F measure
0.9696
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7416
Cross-validation details (33% Holdout set)
KB relative information score
743.1531
Cross-validation details (33% Holdout set)
Mean absolute error
0.0366
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.1193
Cross-validation details (33% Holdout set)
Number of instances
1244
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9694
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9711
Cross-validation details (33% Holdout set)
Prior entropy
0.3333
Cross-validation details (33% Holdout set)
Recall
0.9711
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3065
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2482
Cross-validation details (33% Holdout set)
Root mean squared error
0.155
Cross-validation details (33% Holdout set)
Root relative squared error
0.6245
Cross-validation details (33% Holdout set)
SciMark benchmark
1354.3488
UserCPU time millis
10320
Cross-validation details (33% Holdout set)
UserCPU time millis testing
70
Cross-validation details (33% Holdout set)
UserCPU time millis training
10250
Cross-validation details (33% Holdout set)