DEVELOPMENT... OpenML
Run
119523

Run 119523

Task 37 (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
0.7719
Per class
Build CPU time
3.0511
Build memory
398975008.5417
F measure
0.7239
Per class
Kappa
0.3876
KB relative information score
285.8052
Mean absolute error
0.2739
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
0.7223
Per class
Predictive accuracy
0.7266
Prior entropy
0.9335
Recall
0.7266
Per class
Relative absolute error
0.6027
Root mean prior squared error
0.4766
Root mean squared error
0.4951
Root relative squared error
1.0387
SciMark benchmark
914.1182

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