DEVELOPMENT... OpenML
Run
168867

Run 168867

Task 3836 (Supervised Classification) wine Uploaded 20-02-2015 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)_I10
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
0.9693
Per class
F measure
0.9489
Per class
Kappa
0.8928
KB relative information score
159.9655
Mean absolute error
0.0474
Mean prior absolute error
0.4798
Number of instances
178
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9516
Per class
Predictive accuracy
0.9494
Prior entropy
0.971
Recall
0.9494
Per class
Relative absolute error
0.0988
Root mean prior squared error
0.4897
Root mean squared error
0.2135
Root relative squared error
0.436
SciMark benchmark
927.0753
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30