DEVELOPMENT... OpenML
Run
108782

Run 108782

Task 3799 (Supervised Classification) fri_c3_500_10 Uploaded 09-12-2014 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)_I160
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
0.9641
Per class
Build CPU time
0.2917
Build memory
60617140
F measure
0.8959
Per class
Kappa
0.7901
KB relative information score
367.483
Mean absolute error
0.1381
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.896
Per class
Predictive accuracy
0.896
Prior entropy
0.9945
Recall
0.896
Per class
Relative absolute error
0.2783
Root mean prior squared error
0.4981
Root mean squared error
0.2718
Root relative squared error
0.5457
SciMark benchmark
926.7725