DEVELOPMENT... OpenML
Run
168521

Run 168521

Task 215 (Supervised Classification) BNG(ionosphere) 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
0.926
Per class
F measure
0.9069
Per class
Kappa
0.7976
KB relative information score
749661.4896
Mean absolute error
0.1169
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
0.9069
Per class
Predictive accuracy
0.907
Prior entropy
0.9418
Recall
0.907
Per class
Relative absolute error
0.2539
Root mean prior squared error
0.4797
Root mean squared error
0.2923
Root relative squared error
0.6094
SciMark benchmark
938.2848
UserCPU time millis
96910
UserCPU time millis testing
31230
UserCPU time millis training
65680