What are the machine learning algorithem we need for german credit risk machine learning project?
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purpose of this work is to evaluate the performance of machine learning methods on credit card default payment prediction using logistic regression, C4. 5 decision tree, support vector machines (SVM), naive Bayes, k-nearest neighbors algorithms (k-NN) and ensemble learning methods voting, bagging and boosting.
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In machine learning, a hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are derived via training. Given these hyperparameters, the training algorithm learns the parameters from the data.
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