DEVELOPMENT... OpenML
Run
136704

Run 136704

Task 3574 (Supervised Classification) rmftsa_sleepdata Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.6576
Per class
Build CPU time
0.0413
Build memory
294541991.3672
F measure
0.4653
Per class
Kappa
0.2396
KB relative information score
209.2727
Mean absolute error
0.3112
Mean prior absolute error
0.3514
Number of instances
1024
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4631
Per class
Predictive accuracy
0.4717
Prior entropy
1.8507
Recall
0.4717
Per class
Relative absolute error
0.8855
Root mean prior squared error
0.4191
Root mean squared error
0.4157
Root relative squared error
0.9917
SciMark benchmark
923.564