DEVELOPMENT... OpenML
Run
168573

Run 168573

Task 2257 (Supervised Classification) BNG(cylinder-bands) 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
0.8986
Per class
F measure
0.8352
Per class
Kappa
0.6634
KB relative information score
656639.2912
Mean absolute error
0.1658
Mean prior absolute error
0.4878
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
0.8364
Per class
Predictive accuracy
0.8347
Prior entropy
0.9823
Recall
0.8347
Per class
Relative absolute error
0.3398
Root mean prior squared error
0.4939
Root mean squared error
0.4022
Root relative squared error
0.8145
SciMark benchmark
923.7642
UserCPU time millis
343280
UserCPU time millis testing
91860
UserCPU time millis training
251420

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