DEVELOPMENT... OpenML
Run
165832

Run 165832

Task 2264 (Supervised Classification) BNG(hepatitis) Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I160
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.9083
Per class
F measure
0.8889
Per class
Kappa
0.6613
KB relative information score
540658.2829
Mean absolute error
0.1393
Mean prior absolute error
0.3293
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8885
Per class
Predictive accuracy
0.8894
Prior entropy
0.7373
Recall
0.8894
Per class
Relative absolute error
0.4232
Root mean prior squared error
0.4057
Root mean squared error
0.2952
Root relative squared error
0.7275
SciMark benchmark
943.2817
UserCPU time millis
187250
UserCPU time millis testing
43560
UserCPU time millis training
143690