heart_disease

There are variables related to patient clinic trial. The variable to predict is `has_heart_disease`.

datasets

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<http://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Pablo Casas

funModeling

Exploratory Data Analysis and Data Preparation Tool-Box Book

heart_disease function

A data frame with 303 rows and 16 variables:<ul>
<li><a href="https://archive.ics.uci.edu/ml/datasets/Heart+Disease">https://archive.ics.uci.edu/ml/datasets/Heart+Disease</a></li>
</ul>

Format

Heart Disease Data — heart_disease

A data frame with 303 rows and 16 variables:<ul>
<li><a href='https://archive.ics.uci.edu/ml/datasets/Heart+Disease'>https://archive.ics.uci.edu/ml/datasets/Heart+Disease</a></li>
</ul>

Heart Disease Data

Learn data cleaning, visual data analysis and model performance assessment (KS, AUC and ROC), package core is in the vignette documentation explaining last topics as a tutorial.

heart_disease: Heart Disease Data

Description

Usage

Arguments

Format