Run
458369

Run 458369

Task 1818 (Supervised Classification) hepatitis 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
0.8329
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8279
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.4816
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
235.7019
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2022
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
775
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8304
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8258
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8258
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.6129
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3728
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9211
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
943.1009
UserCPU time millis
270
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
260
Cross-validation details (5 times 2-fold Crossvalidation)