DEVELOPMENT... OpenML
Run
132733

Run 132733

Task 3827 (Supervised Classification) pasture 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)_I40
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
0.9149
Per class
Build CPU time
0.013
Build memory
487501672
F measure
0.7721
Per class
Kappa
0.4783
KB relative information score
15.755
Mean absolute error
0.2594
Mean prior absolute error
0.4474
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7718
Per class
Predictive accuracy
0.7778
Prior entropy
0.9268
Recall
0.7778
Per class
Relative absolute error
0.5798
Root mean prior squared error
0.4715
Root mean squared error
0.3438
Root relative squared error
0.7291
SciMark benchmark
920.6725