Data Mining, The Deep Neural Network Mode Report Writing With Vector Machines - IT Assignment Help

Assignment Task

vector machines
Use support vector machines (you may use any free software) to perform a binary classification, show classification accuracies, F1-scores and values of the area under the ROC curve (AUC) by using 10-fold cross-validation for different cases such as different training epochs. Please show your steps clearly. Please download the data called processed.cleveland.data at Index of /ml/machine-learning-databases/heart-disease.You may use MS-Word to open this file. The first 13 columns are inputs, and the final column is class (either Healthy (0) or Sick (1, 2, 3, 4)). So you need to pre-process the data to make a training file for binary heart disease classification (the final column value will be either Healthy (+1) or Sick (-1), i.e., 1, 2, 3 and 4 are converted into Sick (-1)).  More Information about the data: http://archive.ics.uci.edu/ml/datasets/Heart+Disease Please submit a report with detailed steps, different simulations under different conditions, software, a user manual, and pre-processed data. Please make deep neural networks for the same binary classification problem, and compare the deep neural network model with the support vector machines in terms of classification accuracies, F1-scores and AUC values. 

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