Run
2300396

Run 2300396

Task 37 (Supervised Classification) diabetes Uploaded 22-05-2017 by Miguel Cachada
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Flow

weka.MultilayerPerceptron(8)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(8)_L0.3
weka.MultilayerPerceptron(8)_M0.2
weka.MultilayerPerceptron(8)_N500
weka.MultilayerPerceptron(8)_V0
weka.MultilayerPerceptron(8)_S0
weka.MultilayerPerceptron(8)_E20
weka.MultilayerPerceptron(8)_Ho
weka.MultilayerPerceptron(8)_Dtrue

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.

17 Evaluation measures

Area under ROC curve
0.8303
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7624
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4701
Cross-validation details (10-fold Crossvalidation)
KB relative information score
246.7578
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.316
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7618
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7669
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7669
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6953
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8312
Cross-validation details (10-fold Crossvalidation)