Run
21792

Run 21792

Task 27 (Supervised Classification) colic Uploaded 20-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_MultilayerPerceptron(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_MultilayerPerceptron(1)_C3
weka.MultiBoostAB_MultilayerPerceptron(1)_I80
weka.MultiBoostAB_MultilayerPerceptron(1)_P100
weka.MultiBoostAB_MultilayerPerceptron(1)_S1
weka.MultiBoostAB_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.

17 Evaluation measures

Area under ROC curve
0.8186
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8078
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5891
Cross-validation details (10-fold Crossvalidation)
KB relative information score
207.006
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1988
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8088
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8071
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8071
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4264
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4364
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9041
Cross-validation details (10-fold Crossvalidation)