DEVELOPMENT... OpenML
Run
168631

Run 168631

Task 3600 (Supervised Classification) 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
0.7448
Per class
F measure
0.6895
Per class
Kappa
0.3728
KB relative information score
5577.4496
Mean absolute error
0.2877
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
0.7379
Per class
Predictive accuracy
0.713
Prior entropy
0.9832
Recall
0.713
Per class
Relative absolute error
0.5891
Root mean prior squared error
0.4942
Root mean squared error
0.5253
Root relative squared error
1.063
SciMark benchmark
931.2336
UserCPU time millis
7350
UserCPU time millis testing
2440
UserCPU time millis training
4910