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2. Multivariate Logistic Regression | Logistic Regression Solved Example ML by vidya Mahesh Huddar

2. Multivariate Logistic Regression | Logistic Regression Solved Example Machine Learning by vidya Mahesh Huddar

Logistic Regression Algorithm: https://youtu.be/2C8IqOLO1os
Logistic Regression Applications Advantages Linear Regression vs Logistic Regression: https://youtu.be/mh61cva4tPI
Logistic Regression Solved Numerical Example 1: https://youtu.be/UCOm-LFKX9E
Logistic Regression Solved Numerical Example 2: https://youtu.be/tGhFUIVGAg0

Construct a logistic regression model with two predictors for the riding mower example with 𝛽0=−25.9382, 𝛽1=0.1109, 𝛽2=0.9638 , where 𝛽1 and 𝛽2 are for the "Income" and "Lot_Size" variables, respectively.
Using the logistic regression model with probability cutoff 0.75, classify the following 6 customers as "Owner" or "Nonowner"
Present the results in a classification matrix

Cust Income Lot_Size Ownership
1 60 18.4 Owner
2 60.4 21.6 Owner
3 84 17.6 Non-Owner
4 59.4 16 Non-Owner
5 108 17.6 Owner
6 75 19.6 Non-Owner

Logistic Regression is a supervised machine learning algorithm used for classification tasks.
It predicts the probability that a given input belongs to a particular class.

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