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Logic Regression Classical Machine Learning Classic(on Email: Spam / Not Spam? Online Transactions: Fraudulent (Yes / No)? Tumor: Malignant / Benign ? 0: Negative Class (e.g., benign tumor) 1: Positive
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Regression is a statistical method used in data analysis to understand and quantify the relationship between a dependent variable and one or more independent variables.
Regression analysis can be performed by data analysts, researchers, statisticians, and anyone else working with data to model relationships and make predictions.
Regression analysis involves collecting data, selecting the appropriate regression model, fitting the model to the data, and interpreting the results.
The purpose of regression is to examine the relationship between variables, predict future values, identify trends, and make informed decisions based on the data.
In regression analysis, the key information reported includes the regression equation, coefficients, standard error, goodness of fit measures, and significance tests.
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