DEVELOPMENT... OpenML
Run
64299

Run 64299

Task 37 (Supervised Classification) diabetes Uploaded 17-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I160
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7828
Per class
Build CPU time
0.0369
Build memory
125493141.5208
F measure
0.7203
Per class
Kappa
0.3699
KB relative information score
165.9679
Mean absolute error
0.3653
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7295
Per class
Predictive accuracy
0.737
Prior entropy
0.9335
Recall
0.737
Per class
Relative absolute error
0.8037
Root mean prior squared error
0.4766
Root mean squared error
0.4214
Root relative squared error
0.884
SciMark benchmark
915.7224