DEVELOPMENT... OpenML
Run
162702

Run 162702

Task 3622 (Supervised Classification) autoPrice Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9806
Per class
F measure
0.9683
Per class
Kappa
0.9289
KB relative information score
147.1954
Mean absolute error
0.0309
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
0.9689
Per class
Predictive accuracy
0.9686
Prior entropy
0.9264
Recall
0.9686
Per class
Relative absolute error
0.0688
Root mean prior squared error
0.4736
Root mean squared error
0.1741
Root relative squared error
0.3677
SciMark benchmark
922.9039
UserCPU time millis
20
UserCPU time millis training
20