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Machine learning You must develop logistic regression, decision tree and neural network models that will identify whether stores will perform well or poorly. You can use Orange, Python, R, or any data mining package of your choice. The data for the assignment is in a file storedata.csv, which you can download from the same place […]
Statistics Calculate Odds within Logistic Regression Model A survey was conducted and asked: “Do you consider your health to be poor?” This was coded as 1 for “yes” and 0 for “no.” The effect of age (in years) and sex (1 = male, 0 = female) on the outcome was examined using logistic regression. The […]
Word Log 10 pages: From the Word Log, please explain: -Why new variables were generated for logistic regression. -Which variables are statistically significant. -Why some variables were omitted for collinearity.
