DEVELOPMENT... OpenML
Run
167602

Run 167602

Task 3696 (Supervised Classification) autoMpg Uploaded 19-02-2015 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
0.9377
Per class
F measure
0.8995
Per class
Kappa
0.7987
KB relative information score
315.1289
Mean absolute error
0.1051
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
0.8998
Per class
Predictive accuracy
0.8995
Prior entropy
0.9982
Recall
0.8995
Per class
Relative absolute error
0.2107
Root mean prior squared error
0.4994
Root mean squared error
0.2962
Root relative squared error
0.5931
SciMark benchmark
941.7954
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20