DEVELOPMENT... OpenML
Run
108914

Run 108914

Task 36 (Supervised Classification) segment 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)_I80
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
0.7682
Per class
Build CPU time
0.0197
Build memory
57940660
F measure
0.1927
Per class
Kappa
0.1667
KB relative information score
717.6941
Mean absolute error
0.2092
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1902
Per class
Predictive accuracy
0.2857
Prior entropy
2.8074
Recall
0.2857
Per class
Relative absolute error
0.8541
Root mean prior squared error
0.3499
Root mean squared error
0.3236
Root relative squared error
0.9247
SciMark benchmark
939.6298