DEVELOPMENT... OpenML
Run
108811

Run 108811

Task 3835 (Supervised Classification) squash-stored 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
0.7729
Per class
Build CPU time
0.0604
Build memory
49083788.1538
F measure
0.7699
Per class
Kappa
0.5364
KB relative information score
27.4885
Mean absolute error
0.2313
Mean prior absolute error
0.4936
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
0.7729
Per class
Predictive accuracy
0.7692
Prior entropy
0.9911
Recall
0.7692
Per class
Relative absolute error
0.4687
Root mean prior squared error
0.4967
Root mean squared error
0.4803
Root relative squared error
0.9671
SciMark benchmark
939.7233