DEVELOPMENT... OpenML
Run
136227

Run 136227

Task 3716 (Supervised Classification) tecator 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)_I80
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
0.8638
Per class
Build CPU time
0.0038
Build memory
82511609.6
F measure
0.863
Per class
Kappa
0.7212
KB relative information score
171.7772
Mean absolute error
0.1375
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.865
Per class
Predictive accuracy
0.8625
Prior entropy
0.984
Recall
0.8625
Per class
Relative absolute error
0.2813
Root mean prior squared error
0.4943
Root mean squared error
0.3708
Root relative squared error
0.7501
SciMark benchmark
926.507