DEVELOPMENT... OpenML
Run
109141

Run 109141

Task 3890 (Supervised Classification) ada_prior Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I20
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1

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
0.6928
Per class
Build CPU time
1.3814
Build memory
123942849.2626
F measure
0.7707
Per class
Kappa
0.3855
KB relative information score
1426.6474
Mean absolute error
0.2294
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7707
Per class
Predictive accuracy
0.7707
Prior entropy
0.8085
Recall
0.7707
Per class
Relative absolute error
0.6148
Root mean prior squared error
0.4319
Root mean squared error
0.4787
Root relative squared error
1.1083
SciMark benchmark
907.4175