Click and drag on elements in orderThe Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology consists of six major phases. Please order the six phases from the start phase to end phase!Business understanding: The first phase focuses on understanding the data mining project and its objectivesEvaluation: After developing data mining models, we evaluate the performance of competing models based on specific criteriaData understanding: This phase involves collecting raw data and conducting a preliminary analysis to understand the dataData preparation: Specific tasks include record and variable selection, data wrangling, and cleansing for subsequent analysesModeling: This phase involves the selection and execution of several data mining techniques, including linear and logistic regression modelsDeployment: During this final phase, we develop a set of actionable recommendations based on the analysis results

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