DEVELOPMENT... OpenML
Run
19424

Run 19424

Task 57 (Supervised Classification) ionosphere Uploaded 13-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(1)_C3
weka.MultiBoostAB_NaiveBayes(1)_I20
weka.MultiBoostAB_NaiveBayes(1)_P100
weka.MultiBoostAB_NaiveBayes(1)_S1
weka.MultiBoostAB_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9371
Per class
F measure
0.9118
Per class
Kappa
0.8084
KB relative information score
275.0938
Mean absolute error
0.0979
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9118
Per class
Predictive accuracy
0.9117
Prior entropy
0.9425
Recall
0.9117
Per class
Relative absolute error
0.2127
Root mean prior squared error
0.4797
Root mean squared error
0.2876
Root relative squared error
0.5995
SciMark benchmark
942.641[564.6619124438491010.9942233373424471.76705325224475910.85475360997441754.9271701211055]