DEVELOPMENT... OpenML
Run
108624

Run 108624

Task 3613 (Supervised Classification) servo 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
0.9908
Per class
Build CPU time
0.0408
Build memory
537401090.2994
F measure
0.9521
Per class
Kappa
0.8637
KB relative information score
138.5826
Mean absolute error
0.0537
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9521
Per class
Predictive accuracy
0.9521
Prior entropy
0.7794
Recall
0.9521
Per class
Relative absolute error
0.1521
Root mean prior squared error
0.4193
Root mean squared error
0.2037
Root relative squared error
0.4858
SciMark benchmark
923.3659