DEVELOPMENT... OpenML
Run
166374

Run 166374

Task 3892 (Supervised Classification) hiva_agnostic Uploaded 18-02-2015 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
0.7352
Per class
F measure
0.9261
Per class
Kappa
0.1993
KB relative information score
-9554.6788
Mean absolute error
0.1058
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9488
Per class
Predictive accuracy
0.9083
Prior entropy
0.221
Recall
0.9083
Per class
Relative absolute error
1.5514
Root mean prior squared error
0.1844
Root mean squared error
0.265
Root relative squared error
1.4376
SciMark benchmark
939.7623
UserCPU time millis
290690
UserCPU time millis testing
88410
UserCPU time millis training
202280

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