Support Vector Machine, Machine Learning, Data Science, Deep Learning.
rate: This determines the step size at which the optimizer makes updates to the model weights. A smaller learning rate can help the model converge on a good solution, but it can also make the training process slower. Regularization strength: This controls the degree to which the model is penalized