# Logistic Regression

Jul 8, 2021

- It is a predictive modeling technique.
- It estimates the relationship between dependent and independent variables.
- It is used when the output is in binary format(discrete or in categorical format) whereas linear regression is used when the output is continuous in range.
- Logistic regression curve converts any value to discrete values.
- There is a threshold that segregates the output as positive or negative(0 or 1).
- It comes under the category of Supervised Learning under classification.

# Linear vs Logistic Regression

# Logistic Regression Equation

# Use-Cases:

- Weather Prediction(will it rain or not)
- Classification Problem(bird or not a bird)
- Determines Illness(patient is ill or not)

# Steps

- Teaching the model with the dataset
- Dropping the non-essential components
- Determining the output and evaluating the model

# Sigmoid Curve

A threshold has to be set above which the value is 1 and below it, the value is 0.