DEVELOPMENT... OpenML
Run
121747

Run 121747

Task 37 (Supervised Classification) diabetes Uploaded 12-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7375
Per class
Build CPU time
55.8366
Build memory
101243428.2813
F measure
0.7517
Per class
Kappa
0.4517
KB relative information score
332.8895
Mean absolute error
0.2473
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
0.751
Per class
Predictive accuracy
0.7526
Prior entropy
0.9335
Recall
0.7526
Per class
Relative absolute error
0.5441
Root mean prior squared error
0.4766
Root mean squared error
0.4958
Root relative squared error
1.0401
SciMark benchmark
931.6517