DEVELOPMENT... OpenML
Run
95409

Run 95409

Task 3722 (Supervised Classification) hungarian 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
0.9065
Per class
Build CPU time
0.009
Build memory
143567646.6122
F measure
0.7936
Per class
Kappa
0.5451
KB relative information score
151.2528
Mean absolute error
0.2256
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.797
Per class
Predictive accuracy
0.7993
Prior entropy
0.9439
Recall
0.7993
Per class
Relative absolute error
0.4889
Root mean prior squared error
0.4802
Root mean squared error
0.3554
Root relative squared error
0.7402
SciMark benchmark
920.6941