Logistic Regression
(โลจิสติกส์รีเกรสชัน)
Definition
Logistic Regression (โลจิสติกส์รีเกรสชัน) Hard Skill
Logistic Regression is a statistical method used for binary classification that models the probability of a categorical dependent variable based on one or more independent variables.
Expertise Level
Level 1
Basic
1. Understands the concept of logistic regression and its purpose.
2. Can interpret logistic regression output such as odds ratios.
3. Able to perform simple binary classification using pre-built tools.
Level 2
Intermediate
1. Can prepare and preprocess data for logistic regression models.
2. Understands model assumptions and diagnostics for logistic regression.
3. Able to build and validate logistic regression models using statistical software.
Level 3
Advanced
1. Can handle multi-class logistic regression and regularization techniques.
2. Able to interpret complex model results and adjust models to improve performance.
3. Integrates logistic regression with other machine learning methods for optimal solutions.
