DEVELOPMENT... OpenML
Run
95394

Run 95394

Task 3680 (Supervised Classification) chscase_vine1 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
0.9249
Per class
Build CPU time
0.0034
Build memory
319566899.3846
F measure
0.8271
Per class
Kappa
0.6549
KB relative information score
31.4092
Mean absolute error
0.2016
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
0.8328
Per class
Predictive accuracy
0.8269
Prior entropy
0.996
Recall
0.8269
Per class
Relative absolute error
0.4055
Root mean prior squared error
0.4985
Root mean squared error
0.3455
Root relative squared error
0.6931
SciMark benchmark
920.6941