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Run
17051

Run 17051

Task 29 (Supervised Classification) credit-approval Uploaded 06-06-2014 by Felicia West
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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)_I160
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
0.8772
Per class
F measure
0.8228
Per class
Kappa
0.6406
KB relative information score
433.083
Mean absolute error
0.1852
Mean prior absolute error
0.494
Number of instances
690
Per class
Precision
0.8229
Per class
Predictive accuracy
0.8232
Prior entropy
0.9913
Recall
0.8232
Per class
Relative absolute error
0.3749
Root mean prior squared error
0.497
Root mean squared error
0.3906
Root relative squared error
0.7859