The option that is not true in the modeling phase of a dm process, a proper algorithm is selected based on option available data analysts' skills.
Six phases make up the life cycle model, and arrows show the most significant and common dependencies among them. There is no set order to the phases. In actuality, projects frequently switch back and forth between phases as needed. The CRISP-DM paradigm is adaptable and simple to adjust.
When describing the procedures used to address a specific problem, modeling is a phrase that is frequently used in machine learning (ML).
Therefore, Specific modeling algorithms are chosen and applied to the data during the project's modeling phase. Based on the nature of the question and the desired outputs, specific algorithms are chosen for use in the data mining process.
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