Heart failure clinical Data Analysis


Model Planning and Model building



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466 project
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Model Planning and Model building:


For the purpose of data analysis or extraction of meaningful information from a data, a number of techniques have been used by state-of-the-art approaches in literature. These techniques are mostly depend on the nature of data. As we have picked a data which is supervised in nature, so we move toward a supervised technique. As we have studied from literature that Classification and clustering are two techniques which is mostly used in data mining to analyze the data for extracting information. So we have used a classification technique in our case the reason is that classification technique is supervised in nature same as our data. So it can performed better with supervised nature data.

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