DEVELOPMENT... OpenML
Run
166804

Run 166804

Task 3622 (Supervised Classification) autoPrice 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)_I80
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
0.976
Per class
F measure
0.9563
Per class
Kappa
0.9032
KB relative information score
142.4001
Mean absolute error
0.0441
Mean prior absolute error
0.4492
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9573
Per class
Predictive accuracy
0.956
Prior entropy
0.9264
Recall
0.956
Per class
Relative absolute error
0.0981
Root mean prior squared error
0.4736
Root mean squared error
0.209
Root relative squared error
0.4413
SciMark benchmark
923.7642
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60