DEVELOPMENT... OpenML
Run
95536

Run 95536

Task 3779 (Supervised Classification) fri_c3_100_5 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
0.8874
Per class
Build CPU time
0.0042
Build memory
439894342.4
F measure
0.8701
Per class
Kappa
0.7368
KB relative information score
50.1605
Mean absolute error
0.2659
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8705
Per class
Predictive accuracy
0.87
Prior entropy
0.99
Recall
0.87
Per class
Relative absolute error
0.5393
Root mean prior squared error
0.4964
Root mean squared error
0.3514
Root relative squared error
0.7079
SciMark benchmark
940.7816