DEVELOPMENT... OpenML
Run
21911

Run 21911

Task 40 (Supervised Classification) glass Uploaded 20-06-2014 by Felicia West
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Flow

weka.Bagging_RandomTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(1)_I40
weka.Bagging_RandomTree(1)_P100
weka.Bagging_RandomTree(1)_S1
weka.Bagging_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(1)_num-slots1
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9345
Per class
F measure
0.7879
Per class
Kappa
0.7171
KB relative information score
135.9034
Mean absolute error
0.0995
Mean prior absolute error
0.2116
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7888
Per class
Predictive accuracy
0.7944
Prior entropy
2.2315
Recall
0.7944
Per class
Relative absolute error
0.4704
Root mean prior squared error
0.3244
Root mean squared error
0.2134
Root relative squared error
0.6578
SciMark benchmark
923.9575[566.3119101318733959.8779365640839447.20608653238855896.52530019499931749.8664669073971]