DEVELOPMENT... OpenML
Run
95323

Run 95323

Task 3640 (Supervised Classification) disclosure_x_bias 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
0.5262
Per class
Build CPU time
0.0161
Build memory
104861425.1843
F measure
0.5239
Per class
Kappa
0.0491
KB relative information score
5.5346
Mean absolute error
0.4958
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
0.5261
Per class
Predictive accuracy
0.5287
Prior entropy
0.9987
Recall
0.5287
Per class
Relative absolute error
0.9934
Root mean prior squared error
0.4996
Root mean squared error
0.5013
Root relative squared error
1.0034
SciMark benchmark
945.4151