DEVELOPMENT... OpenML
Run
165745

Run 165745

Task 215 (Supervised Classification) BNG(ionosphere) Uploaded 17-02-2015 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)_I160
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
0.9465
Per class
F measure
0.9099
Per class
Kappa
0.8042
KB relative information score
738030.6433
Mean absolute error
0.1268
Mean prior absolute error
0.4602
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
0.9099
Per class
Predictive accuracy
0.91
Prior entropy
0.9418
Recall
0.91
Per class
Relative absolute error
0.2755
Root mean prior squared error
0.4797
Root mean squared error
0.2681
Root relative squared error
0.5588
SciMark benchmark
938.2848
UserCPU time millis
125020
UserCPU time millis testing
35370
UserCPU time millis training
89650