DEVELOPMENT... OpenML
Run
95345

Run 95345

Task 3646 (Supervised Classification) rabe_265 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
0.7175
Per class
Build CPU time
0.003
Build memory
157248230.4314
F measure
0.7016
Per class
Kappa
0.3796
KB relative information score
13.937
Mean absolute error
0.3574
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7023
Per class
Predictive accuracy
0.7059
Prior entropy
0.9791
Recall
0.7059
Per class
Relative absolute error
0.7368
Root mean prior squared error
0.4922
Root mean squared error
0.47
Root relative squared error
0.955
SciMark benchmark
940.7816