Machine Learning question

For each of the following statements, specify whether it is True or False. ) Cost function is used to estimate model parameters by using test data. ) Since F1 score combines precision and recall into a single metric it is always the best evaluation metric. ) Increasing regularization parameter (a) leads to simpler models. ) Model selection and hyper-parameter tuning is best done by comparing the training ) If a SVM model is overfitting the data, one solution would be to increase the parameter C. ) When you increase the k in KNN, the bias will increase