DEVELOPMENT... OpenML
Run
168727

Run 168727

Task 3696 (Supervised Classification) autoMpg 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
0.9598
Per class
F measure
0.8795
Per class
Kappa
0.759
KB relative information score
304.5249
Mean absolute error
0.1166
Mean prior absolute error
0.4987
Number of instances
398
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8817
Per class
Predictive accuracy
0.8794
Prior entropy
0.9982
Recall
0.8794
Per class
Relative absolute error
0.2339
Root mean prior squared error
0.4994
Root mean squared error
0.321
Root relative squared error
0.6428
SciMark benchmark
931.2336
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30