DEVELOPMENT... OpenML
Run
95560

Run 95560

Task 3794 (Supervised Classification) disclosure_z 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
0.4948
Per class
Build CPU time
0.0167
Build memory
169804258.1269
F measure
0.4885
Per class
Kappa
-0.0159
KB relative information score
-0.9721
Mean absolute error
0.499
Mean prior absolute error
0.4987
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
0.4932
Per class
Predictive accuracy
0.4894
Prior entropy
0.9981
Recall
0.4894
Per class
Relative absolute error
1.0007
Root mean prior squared error
0.4993
Root mean squared error
0.5035
Root relative squared error
1.0084
SciMark benchmark
933.4176