Run
24052

Run 24052

Task 21 (Supervised Classification) car Uploaded 30-06-2014 by Joaquin Vanschoren
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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)_I40
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.

17 Evaluation measures

Area under ROC curve
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9943
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9874
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1689.6878
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0057
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9942
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9942
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0251
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0553
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1635
Cross-validation details (10-fold Crossvalidation)