Used GridSearchCV to implement Hyperparameters #6

[NeonKazuha]

• Created a Hyperparameters Grid.

• Logistic Regression: logisticregressionC: This key defines the regularization parameter (C) for logistic regression. logisticregressionsolver: This key specifies the solver algorithm for logistic regression.

• Support Vector Machine: svcC: Key defines the regularization parameter (C) for SVM. svckernel: This key defines the kernel function used by the SVM. svc__gamma: It defines the gamma parameter that controls the influence of training points on the decision boundary.

• Used GridSearchCV to build a pipeline using hyperparameters.

• cv = 10: This sets the number of cross-validation folds to 10.

• n_jobs=-1: This instructs GridSearchCV to use all available CPU cores to parallelize the hyperparameter tuning process.

• Put the models in a loop to find accuracy score.

[NeonKazuha]

@darshbaxi Please Review.

[Samcoding5854]

Excellent work implementing GridSearchCV. Impressed with the use of njobs, cross validations and svc kernels.