DEVELOPMENT... OpenML
Run
128366

Run 128366

Task 3640 (Supervised Classification) disclosure_x_bias Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I10
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.5341
Per class
Build CPU time
0.0109
Build memory
1080662599.6133
F measure
0.5195
Per class
Kappa
0.0371
KB relative information score
22.0954
Mean absolute error
0.4823
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
0.5194
Per class
Predictive accuracy
0.5196
Prior entropy
0.9987
Recall
0.5196
Per class
Relative absolute error
0.9662
Root mean prior squared error
0.4996
Root mean squared error
0.577
Root relative squared error
1.155
SciMark benchmark
929.5397