Consider the publicly available heart disease data set at (http:// archive.ics.uci.edu/ml/datasets/heart+Disease). Use the 13 attributes given to

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Consider the publicly available heart disease data set at (http://

archive.ics.uci.edu/ml/datasets/heart+Disease). Use the 13 attributes given to predict angiographic disease (binary classification)

using an SVM approach. Train on half of the data, and validate on the second half.

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Service Systems Engineering And Management

ISBN: 978-0367781323

1st Edition

Authors: A. Ravi Ravindran ,Paul M. Griffin ,Vittaldas V. Prabhu

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Question Posted: Feb 27, 2024 03:11 AM

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Consider the publicly available heart disease data set at (http:// archive.ics.uci.edu/ml/datasets/heart+Disease). Use the 13 attributes given to

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Service Systems Engineering And Management

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