DEVELOPMENT... OpenML
Run
108679

Run 108679

Task 3680 (Supervised Classification) chscase_vine1 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
0.8765
Per class
Build CPU time
0.0438
Build memory
102479510.7692
F measure
0.7692
Per class
Kappa
0.5357
KB relative information score
28.5166
Mean absolute error
0.2235
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7692
Per class
Predictive accuracy
0.7692
Prior entropy
0.996
Recall
0.7692
Per class
Relative absolute error
0.4495
Root mean prior squared error
0.4985
Root mean squared error
0.4659
Root relative squared error
0.9345
SciMark benchmark
941.1732