DEVELOPMENT... OpenML
Run
165673

Run 165673

Task 58 (Supervised Classification) waveform-5000 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
0.8968
Per class
F measure
0.7877
Per class
Kappa
0.6999
KB relative information score
3078.7567
Mean absolute error
0.2073
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8336
Per class
Predictive accuracy
0.7996
Prior entropy
1.5849
Recall
0.7996
Per class
Relative absolute error
0.4664
Root mean prior squared error
0.4714
Root mean squared error
0.3204
Root relative squared error
0.6797
SciMark benchmark
939.7623
UserCPU time millis
6240
UserCPU time millis testing
1800
UserCPU time millis training
4440