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Logistic Regression
A supervised machine learning model for classification
Sigmoid Function
Converts a continuous value into a range of (0,1)
Log
Probabilities are converted to _____ probabilities to avoid getting very small numbers in computation (underflow)
Multinomial Logistic Regression
More than 2 classes
Softmax Function
Scales a list of numbers so that they sum to 1
Softmax Function
Interprets the output as probability of belong to each class
Linear Regression
Returns a continuous value
Logistic Regression
Returns a label