DEVELOPMENT... OpenML
Run
167662

Run 167662

Task 3716 (Supervised Classification) tecator 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
0.9652
Per class
F measure
0.9168
Per class
Kappa
0.8299
KB relative information score
195.9046
Mean absolute error
0.0905
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.917
Per class
Predictive accuracy
0.9167
Prior entropy
0.984
Recall
0.9167
Per class
Relative absolute error
0.1852
Root mean prior squared error
0.4943
Root mean squared error
0.2676
Root relative squared error
0.5414
SciMark benchmark
941.7954
UserCPU time millis
1420
UserCPU time millis testing
430
UserCPU time millis training
990