DEVELOPMENT... OpenML
Run
95293

Run 95293

Task 3630 (Supervised Classification) analcatdata_apnea3 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
0.9055
Per class
Build CPU time
0.006
Build memory
46635770.4
F measure
0.8384
Per class
Kappa
0.1097
KB relative information score
104.081
Mean absolute error
0.1488
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
0.8584
Per class
Predictive accuracy
0.8822
Prior entropy
0.5405
Recall
0.8822
Per class
Relative absolute error
0.6895
Root mean prior squared error
0.3275
Root mean squared error
0.26
Root relative squared error
0.7937
SciMark benchmark
930.1524