Run
1816081

Run 1816081

Task 2075 (Supervised Classification) abalone Uploaded 10-09-2016 by Jan van Rijn
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Flow

weka.FilteredClassifier_MultilayerPerceptron(1)Weka implementation of FilteredClassifier
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)_Ha
weka.FilteredClassifier_MultilayerPerceptron(1)_Fweka.filters.supervised.attribute.Discretize -R first-last -precision 6
weka.FilteredClassifier_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron

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.

17 Evaluation measures

Area under ROC curve
0.6982
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2092
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1283
Cross-validation details (10-fold Crossvalidation)
KB relative information score
924.9451
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0561
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2008
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2327
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2327
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9075
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1786
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0163
Cross-validation details (10-fold Crossvalidation)