DEVELOPMENT... OpenML
Run
168224

Run 168224

Task 3600 (Supervised Classification) ailerons 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)_I20
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
0.8934
Per class
F measure
0.7808
Per class
Kappa
0.5496
KB relative information score
7660.7778
Mean absolute error
0.2146
Mean prior absolute error
0.4884
Number of instances
13750
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7975
Per class
Predictive accuracy
0.788
Prior entropy
0.9832
Recall
0.788
Per class
Relative absolute error
0.4394
Root mean prior squared error
0.4942
Root mean squared error
0.4132
Root relative squared error
0.8362
SciMark benchmark
932.3943
UserCPU time millis
15590
UserCPU time millis testing
4530
UserCPU time millis training
11060