DEVELOPMENT... OpenML
Run
134934

Run 134934

Task 3605 (Supervised Classification) sleep Uploaded 28-12-2014 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)_I20
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
0.6766
Per class
Build CPU time
0.0033
Build memory
2791379777.0323
F measure
0.6572
Per class
Kappa
0.3126
KB relative information score
18.1736
Mean absolute error
0.3532
Mean prior absolute error
0.498
Number of instances
62
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.662
Per class
Predictive accuracy
0.6613
Prior entropy
0.9972
Recall
0.6613
Per class
Relative absolute error
0.7093
Root mean prior squared error
0.499
Root mean squared error
0.564
Root relative squared error
1.1303
SciMark benchmark
946.9091