Answer Posted / Km Gargi

The evaluation approaches for gauging the effectiveness of a machine learning model include but are not limited to: Cross-validation, K-Fold Cross-Validation, Leave-One-Out Cross-Validation, Train-Test Split, and Bootstrapping. These methods help in determining the model's generalization performance on unseen data by splitting the available data into training and testing sets.

Tell me what are the last machine learning papers you've read?

209

Do you have research experience in machine learning?

73

Tell us do you have research experience in machine learning?

150

What are standardization and normalisation? Give one advantage of each over the other?

74