DEVELOPMENT... OpenML
Run
119564

Run 119564

Task 267 (Supervised Classification) diabetes Uploaded 10-12-2014 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)_I10
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
0.7214
Per class
Build CPU time
2.334
Build memory
167531952
F measure
0.6838
Per class
Kappa
0.3168
KB relative information score
72.588
Mean absolute error
0.3157
Mean prior absolute error
0.4589
Number of instances
253
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6838
Per class
Predictive accuracy
0.6838
Prior entropy
0.9335
Recall
0.6838
Per class
Relative absolute error
0.6879
Root mean prior squared error
0.4813
Root mean squared error
0.5281
Root relative squared error
1.0974
SciMark benchmark
913.3372