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1.3.2 Machine Learning Algorithm

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Post analysis of the data, it was broken up into training (80%) and testing (20%) sets, respectively. This is necessary to accept the power of the model to summarize new details. A few classifier models have been tested which have been explained as follows.

Figure 1.2 Age distribution.


Figure 1.3 Presence of cardiovascular disease.


Figure 1.4 Cholesterol type distribution.


Figure 1.5 Gender distribution.

Bioinformatics and Medical Applications

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