DEVELOPMENT... OpenML
Run
108708

Run 108708

Task 3721 (Supervised Classification) bolts 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
0.9451
Per class
Build CPU time
0.0295
Build memory
20347698.4
F measure
0.95
Per class
Kappa
0.8901
KB relative information score
35.227
Mean absolute error
0.05
Mean prior absolute error
0.4571
Number of instances
40
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.95
Per class
Predictive accuracy
0.95
Prior entropy
0.9403
Recall
0.95
Per class
Relative absolute error
0.1094
Root mean prior squared error
0.477
Root mean squared error
0.2236
Root relative squared error
0.4688
SciMark benchmark
944.4197