DEVELOPMENT... OpenML
Run
133110

Run 133110

Task 3574 (Supervised Classification) rmftsa_sleepdata Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.6561
Per class
Build CPU time
3.7066
Build memory
576645234.3281
F measure
0.4784
Per class
Kappa
0.2588
KB relative information score
215.0708
Mean absolute error
0.3085
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
0.4737
Per class
Predictive accuracy
0.4854
Prior entropy
1.8507
Recall
0.4854
Per class
Relative absolute error
0.8778
Root mean prior squared error
0.4191
Root mean squared error
0.4181
Root relative squared error
0.9975
SciMark benchmark
943.8094

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