OpenML
458294

Run 458294

Task 265 (Supervised Classification) dermatology 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

0.9998
Per class
Cross-validation details (33% Holdout set)
0.9835
Per class
Cross-validation details (33% Holdout set)
0.9789
Cross-validation details (33% Holdout set)
115.1261
Cross-validation details (33% Holdout set)
0.0111
Cross-validation details (33% Holdout set)
0.2653
Cross-validation details (33% Holdout set)
120
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.9856
Per class
Cross-validation details (33% Holdout set)
0.9833
Cross-validation details (33% Holdout set)
2.4378
Cross-validation details (33% Holdout set)
0.9833
Per class
Cross-validation details (33% Holdout set)
0.042
Cross-validation details (33% Holdout set)
0.3633
Cross-validation details (33% Holdout set)
0.067
Cross-validation details (33% Holdout set)
0.1845
Cross-validation details (33% Holdout set)
943.1009
2470
Cross-validation details (33% Holdout set)
10
Cross-validation details (33% Holdout set)
2460
Cross-validation details (33% Holdout set)