DEVELOPMENT... OpenML
Run
108650

Run 108650

Task 3640 (Supervised Classification) disclosure_x_bias Uploaded 09-12-2014 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)_I160
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
0.5603
Per class
Build CPU time
0.201
Build memory
555492076.5921
F measure
0.5478
Per class
Kappa
0.0935
KB relative information score
16.6268
Mean absolute error
0.4891
Mean prior absolute error
0.4991
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5477
Per class
Predictive accuracy
0.5483
Prior entropy
0.9987
Recall
0.5483
Per class
Relative absolute error
0.9799
Root mean prior squared error
0.4996
Root mean squared error
0.4995
Root relative squared error
0.9999
SciMark benchmark
923.3659

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