DEVELOPMENT... OpenML
Run
76567

Run 76567

Task 3656 (Supervised Classification) diabetes_numeric 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)_I20
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
0.6561
Per class
Build CPU time
0.1309
Build memory
916445279.814
F measure
0.6959
Per class
Kappa
0.3611
KB relative information score
7.1014
Mean absolute error
0.4007
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.695
Per class
Predictive accuracy
0.6977
Prior entropy
0.971
Recall
0.6977
Per class
Relative absolute error
0.8365
Root mean prior squared error
0.4889
Root mean squared error
0.4943
Root relative squared error
1.0108
SciMark benchmark
933.7787