DEVELOPMENT... OpenML
Run
28893

Run 28893

Task 37 (Supervised Classification) diabetes Uploaded 10-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8265
Per class
Build CPU time
0.4004
Build memory
1578254280.4167
F measure
0.7553
Per class
Kappa
0.4552
KB relative information score
262.8495
Mean absolute error
0.3019
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
0.7542
Per class
Predictive accuracy
0.7591
Prior entropy
0.9335
Recall
0.7591
Per class
Relative absolute error
0.6642
Root mean prior squared error
0.4766
Root mean squared error
0.4002
Root relative squared error
0.8397
SciMark benchmark
910.6427