DEVELOPMENT... OpenML
Run
118154

Run 118154

Task 3640 (Supervised Classification) disclosure_x_bias Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I20
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.5149
Per class
Build CPU time
0.4569
Build memory
701787976.3505
F measure
0.5259
Per class
Kappa
0.0499
KB relative information score
9.5928
Mean absolute error
0.4931
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
0.5259
Per class
Predictive accuracy
0.5272
Prior entropy
0.9987
Recall
0.5272
Per class
Relative absolute error
0.9879
Root mean prior squared error
0.4996
Root mean squared error
0.5479
Root relative squared error
1.0968
SciMark benchmark
923.3659