DEVELOPMENT... OpenML
Run
108969

Run 108969

Task 277 (Supervised Classification) tae 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)_I80
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
0.4745
Per class
Build CPU time
0.001
Build memory
520457640
F measure
0.2501
Per class
Kappa
-0.0189
KB relative information score
2.4444
Mean absolute error
0.4504
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.205
Per class
Predictive accuracy
0.3265
Prior entropy
1.5845
Recall
0.3265
Per class
Relative absolute error
1.0133
Root mean prior squared error
0.4715
Root mean squared error
0.4986
Root relative squared error
1.0575
SciMark benchmark
945.0554