DEVELOPMENT... OpenML
Run
167806

Run 167806

Task 3836 (Supervised Classification) wine Uploaded 19-02-2015 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)_I40
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
0.9506
Per class
F measure
0.9491
Per class
Kappa
0.8933
KB relative information score
158.5062
Mean absolute error
0.0515
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
0.9503
Per class
Predictive accuracy
0.9494
Prior entropy
0.971
Recall
0.9494
Per class
Relative absolute error
0.1074
Root mean prior squared error
0.4897
Root mean squared error
0.2197
Root relative squared error
0.4487
SciMark benchmark
945.7621
UserCPU time millis
160
UserCPU time millis testing
50
UserCPU time millis training
110