DEVELOPMENT... OpenML
Run
109144

Run 109144

Task 267 (Supervised Classification) diabetes Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.6421
Per class
Build CPU time
0.028
Build memory
184713008
F measure
0.6774
Per class
Kappa
0.2937
KB relative information score
73.0285
Mean absolute error
0.3169
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
0.6752
Per class
Predictive accuracy
0.6838
Prior entropy
0.9335
Recall
0.6838
Per class
Relative absolute error
0.6906
Root mean prior squared error
0.4813
Root mean squared error
0.5612
Root relative squared error
1.1662
SciMark benchmark
945.5885