DEVELOPMENT... OpenML
Run
122546

Run 122546

Task 3630 (Supervised Classification) analcatdata_apnea3 Uploaded 14-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_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_LWL_DecisionStump(2)_I160
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.8896
Per class
Build CPU time
30.0685
Build memory
110759643.2
F measure
0.9072
Per class
Kappa
0.5506
KB relative information score
211.4431
Mean absolute error
0.0879
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
0.9051
Per class
Predictive accuracy
0.9111
Prior entropy
0.5405
Recall
0.9111
Per class
Relative absolute error
0.4071
Root mean prior squared error
0.3275
Root mean squared error
0.293
Root relative squared error
0.8945
SciMark benchmark
931.6517