an extension of linear regression that adds L1 and L2 regularization penalties to the loss function during training
a proc-block to find Mean Absolute Error and Mean Squared Error. used for assessing evaluation and performace of the model.
a supervised learning models with associated learning algorithms that analyze data for regression analysis
a linear approach for modelling the relationship between a scalar response and one or more explanatory variables.
a proc-block used to calculate f1-score
calculates accuracy of predicted labels when compared to true labels
a binary classifier that uses an optimal hyperplane to separate the points in the input variable space by their class.
a statistical model that models the probability of one event taking place by having the log-odds for the event be a linear combination of one or more independent variables.
a random split into training and test sets
A tridirectional converter between Json, Yaml, and Toml
A tree command.
for assessing model evaluation and performace of model
Find the index of the largest element.
Software Automatic Mouth