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Run
109396

Run 109396

Task 3656 (Supervised Classification) diabetes_numeric 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
0.448
Per class
Build CPU time
0.0036
Build memory
305845057.6744
F measure
0.4924
Per class
Kappa
-0.0488
KB relative information score
-3.7374
Mean absolute error
0.5111
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4984
Per class
Predictive accuracy
0.4884
Prior entropy
0.971
Recall
0.4884
Per class
Relative absolute error
1.0669
Root mean prior squared error
0.4889
Root mean squared error
0.6979
Root relative squared error
1.4274
SciMark benchmark
945.0554