DEVELOPMENT... OpenML
Run
109047

Run 109047

Task 3021 (Supervised Classification) sick 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
0.9831
Per class
Build CPU time
0.7267
Build memory
113656193.4168
F measure
0.9739
Per class
Kappa
0.7713
KB relative information score
2272.0696
Mean absolute error
0.0365
Mean prior absolute error
0.1152
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9737
Per class
Predictive accuracy
0.974
Prior entropy
0.3333
Recall
0.974
Per class
Relative absolute error
0.3167
Root mean prior squared error
0.2398
Root mean squared error
0.1432
Root relative squared error
0.5971
SciMark benchmark
937.5625