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Run
16012

Run 16012

Task 37 (Supervised Classification) diabetes Uploaded 04-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_MultilayerPerceptron(1)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_MultilayerPerceptron(1)_I80
weka.AdaBoostM1_MultilayerPerceptron(1)_P100
weka.AdaBoostM1_MultilayerPerceptron(1)_S1
weka.AdaBoostM1_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7832
Per class
F measure
0.7538
Per class
Kappa
0.4532
KB relative information score
276.1166
Mean absolute error
0.2928
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
0.7525
Per class
Predictive accuracy
0.7565
Prior entropy
0.9335
Recall
0.7565
Per class
Relative absolute error
0.6442
Root mean prior squared error
0.4766
Root mean squared error
0.4294
Root relative squared error
0.9008
SciMark benchmark
940.0645[552.84965319085751009.6698621593916482.7975877024999901.76812573803551753.2370197795062]