DEVELOPMENT... OpenML
Run
166850

Run 166850

Task 3668 (Supervised Classification) delta_ailerons 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)_I80
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
0.9626
Per class
F measure
0.9329
Per class
Kappa
0.8652
KB relative information score
5831.3596
Mean absolute error
0.0982
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.933
Per class
Predictive accuracy
0.933
Prior entropy
0.9973
Recall
0.933
Per class
Relative absolute error
0.1972
Root mean prior squared error
0.4991
Root mean squared error
0.243
Root relative squared error
0.4868
SciMark benchmark
923.7642
UserCPU time millis
700
UserCPU time millis testing
180
UserCPU time millis training
520