DEVELOPMENT... OpenML
Run
108641

Run 108641

Task 3630 (Supervised Classification) analcatdata_apnea3 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
0.9133
Per class
Build CPU time
0.0678
Build memory
771971915.2
F measure
0.9058
Per class
Kappa
0.5142
KB relative information score
138.8355
Mean absolute error
0.1253
Mean prior absolute error
0.2158
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9116
Per class
Predictive accuracy
0.9178
Prior entropy
0.5405
Recall
0.9178
Per class
Relative absolute error
0.5804
Root mean prior squared error
0.3275
Root mean squared error
0.2451
Root relative squared error
0.7482
SciMark benchmark
916.8903