DEVELOPMENT... OpenML
Run
95413

Run 95413

Task 3724 (Supervised Classification) vinnie 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
0.8881
Per class
Build CPU time
0.0054
Build memory
264779332.8
F measure
0.8473
Per class
Kappa
0.6943
KB relative information score
219.491
Mean absolute error
0.2257
Mean prior absolute error
0.4997
Number of instances
380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8476
Per class
Predictive accuracy
0.8474
Prior entropy
0.9995
Recall
0.8474
Per class
Relative absolute error
0.4516
Root mean prior squared error
0.4998
Root mean squared error
0.3499
Root relative squared error
0.6999
SciMark benchmark
933.0871