The 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!

Instructions

Business understanding: The first phase focuses on understanding the data mining project and its objectives

Data understanding: This phase involves collecting raw data and conducting a preliminary analysis to understand the data

Data preparation: Specific tasks include record and variable selection, data wrangling, and cleansing for subsequent analyses

Modeling: This phase involves the selection and execution of several data mining techniques, including linear and logistic regression models