DEVELOPMENT... OpenML
Run
134473

Run 134473

Task 3761 (Supervised Classification) hip 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)_I10
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
0.7349
Per class
Build CPU time
0.0023
Build memory
634101388.4444
F measure
0.7037
Per class
Kappa
0.4066
KB relative information score
21.4879
Mean absolute error
0.3013
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7037
Per class
Predictive accuracy
0.7037
Prior entropy
0.9991
Recall
0.7037
Per class
Relative absolute error
0.6035
Root mean prior squared error
0.4997
Root mean squared error
0.5359
Root relative squared error
1.0725
SciMark benchmark
946.9091