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Building a Regression Model using Keras Classification Model Using dataset from Heart Data UCI

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Heart Disease Model

Building a Regression Model using Keras Classification Model Using dataset from Heart Data UCI

The target of this project is to build a keras classification model and compare it with other classification model, such as Logistic Regression and Decision Tree; and optimise it to minimise error.

Heart Disease Data Set

https://archive.ics.uci.edu/ml/datasets/Heart+Disease

feature Value
Data Set Characteristics: Multivariate
Attribute Characteristics: Categorical, Integer, Real
Associated Tasks: Classification
Number of Instances: 303
Number of Attributes: 75
Missing Values? Yes
Area: Life
Date Donated 1988-07-01
Number of Web Hits: 1496795

Source:

Creators:

  1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
  2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
  3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
  4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.

Donor:

David W. Aha (aha '@' ics.uci.edu) (714) 856-8779

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Building a Regression Model using Keras Classification Model Using dataset from Heart Data UCI

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