DEVELOPMENT... OpenML
Run
95059

Run 95059

Task 3849 (Supervised Classification) analcatdata_marketing 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
0.5349
Per class
Build CPU time
0.0103
Build memory
28250832.6813
F measure
0.5821
Per class
Kappa
0.0269
KB relative information score
-2.8085
Mean absolute error
0.4298
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6012
Per class
Predictive accuracy
0.6758
Prior entropy
0.901
Recall
0.6758
Per class
Relative absolute error
0.9934
Root mean prior squared error
0.4649
Root mean squared error
0.4675
Root relative squared error
1.0056
SciMark benchmark
945.1122