Run
1811003

Run 1811003

Task 3992 (Supervised Classification) AP_Breast_Kidney Uploaded 05-08-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultilayerPerceptron(4)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(4)_L0.3
weka.MultilayerPerceptron(4)_M0.2
weka.MultilayerPerceptron(4)_N500
weka.MultilayerPerceptron(4)_V0
weka.MultilayerPerceptron(4)_S0
weka.MultilayerPerceptron(4)_E20
weka.MultilayerPerceptron(4)_H10

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
0.5058
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4878
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0067
KB relative information score
-20.8933
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5019
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
604
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5133
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4901
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9861
Cross-validation details (10-fold Crossvalidation)
Recall
0.4901
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0234
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.505
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0198
Cross-validation details (10-fold Crossvalidation)