OU ACS-5513: Machine Learning Project
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Data Exploration

Clinical Feature Analysis

Investigating feature distributions and multivariate relationships within the clinical data.

Dataset

The bundled clinical benchmark dataset for this project. It contains the cleaned Cleveland cases used for training, evaluation, and exploratory analysis.

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Field Role Domain Units Description
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The strongest 2D relationships

Strongest visualization of the heart disease dataset

Ranked by normalized mutual information

NMI ranges from 0 to 1 and detects general dependence after binning continuous fields, including nonlinear relationships. Continuous pairs use a LOWESS trend; coded fields use boxplots or a count heatmap because their numeric codes are categories, not measurements.

oldpeak + slopeNMI 0.16 · r 0.58 · rho 0.59
cp + exangNMI 0.13 · r 0.38 · rho 0.43
age + thalachNMI 0.12 · r -0.39 · rho -0.39
sex + thalNMI 0.11 · r 0.38 · rho 0.37