DEVELOPMENT... OpenML
Run
167244

Run 167244

Task 57 (Supervised Classification) ionosphere Uploaded 18-02-2015 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)_I40
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
0.9443
Per class
F measure
0.9259
Per class
Kappa
0.839
KB relative information score
279.3195
Mean absolute error
0.0942
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
0.9259
Per class
Predictive accuracy
0.9259
Prior entropy
0.9425
Recall
0.9259
Per class
Relative absolute error
0.2046
Root mean prior squared error
0.4797
Root mean squared error
0.2675
Root relative squared error
0.5577
SciMark benchmark
945.6434
UserCPU time millis
320
UserCPU time millis testing
100
UserCPU time millis training
220