DEVELOPMENT... OpenML
Run
95500

Run 95500

Task 3761 (Supervised Classification) hip 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
0.8819
Per class
Build CPU time
0.0027
Build memory
251090092.4444
F measure
0.8334
Per class
Kappa
0.6667
KB relative information score
30.9692
Mean absolute error
0.225
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.834
Per class
Predictive accuracy
0.8333
Prior entropy
0.9991
Recall
0.8333
Per class
Relative absolute error
0.4506
Root mean prior squared error
0.4997
Root mean squared error
0.3557
Root relative squared error
0.7119
SciMark benchmark
945.1122