DEVELOPMENT... OpenML
Run
77132

Run 77132

Task 37 (Supervised Classification) diabetes 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)_I40
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
0.8366
Per class
Build CPU time
8.1598
Build memory
697280183.375
F measure
0.7662
Per class
Kappa
0.4797
KB relative information score
254.4924
Mean absolute error
0.3093
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7652
Per class
Predictive accuracy
0.7695
Prior entropy
0.9335
Recall
0.7695
Per class
Relative absolute error
0.6805
Root mean prior squared error
0.4766
Root mean squared error
0.3939
Root relative squared error
0.8263
SciMark benchmark
940.5606