DEVELOPMENT... OpenML
Run
168699

Run 168699

Task 3668 (Supervised Classification) delta_ailerons 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
0.9586
Per class
F measure
0.9333
Per class
Kappa
0.8661
KB relative information score
6174.6141
Mean absolute error
0.0666
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
0.9335
Per class
Predictive accuracy
0.9334
Prior entropy
0.9973
Recall
0.9334
Per class
Relative absolute error
0.1336
Root mean prior squared error
0.4991
Root mean squared error
0.2574
Root relative squared error
0.5158
SciMark benchmark
931.2336
UserCPU time millis
500
UserCPU time millis testing
140
UserCPU time millis training
360