DEVELOPMENT... OpenML
Run
75679

Run 75679

Task 241 (Supervised Classification) balance-scale Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
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
0.9348
Per class
Build CPU time
1.089
Build memory
2939102728
F measure
0.7899
Per class
Kappa
0.6739
KB relative information score
114.1943
Mean absolute error
0.1698
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.766
Per class
Predictive accuracy
0.8155
Prior entropy
1.3212
Recall
0.8155
Per class
Relative absolute error
0.4403
Root mean prior squared error
0.4424
Root mean squared error
0.2912
Root relative squared error
0.6583
SciMark benchmark
947.2295