DEVELOPMENT... OpenML
Run
135387

Run 135387

Task 2073 (Supervised Classification) yeast 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)_I40
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
0.6768
Per class
Build CPU time
0.0157
Build memory
775400935.0943
F measure
0.509
Per class
Kappa
0.3653
KB relative information score
629.3153
Mean absolute error
0.0981
Mean prior absolute error
0.1555
Number of instances
1484
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5104
Per class
Predictive accuracy
0.5094
Prior entropy
2.5035
Recall
0.5094
Per class
Relative absolute error
0.6309
Root mean prior squared error
0.2787
Root mean squared error
0.3132
Root relative squared error
1.1239
SciMark benchmark
935.6292