DEVELOPMENT... OpenML
Run
95266

Run 95266

Task 3622 (Supervised Classification) autoPrice Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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.

21 Evaluation measures

Area under ROC curve
0.9926
Per class
Build CPU time
0.0082
Build memory
62361177.3082
F measure
0.9747
Per class
Kappa
0.9434
KB relative information score
150.3075
Mean absolute error
0.0232
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
0.975
Per class
Predictive accuracy
0.9748
Prior entropy
0.9264
Recall
0.9748
Per class
Relative absolute error
0.0516
Root mean prior squared error
0.4736
Root mean squared error
0.1356
Root relative squared error
0.2863
SciMark benchmark
930.1524

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