Model Evaluation
I know what overfitting and underfitting mean
In this lesson, you will learn what overfitting and underfitting mean in the context of training ma…
Estimated Duration: 30–45 min
I know what a training set and test set are
In machine learning, splitting your dataset into training and test sets is a fundamental step. This…
Estimated Duration: 15–30 min
I know what cross-validation is
Cross-validation is a fundamental technique in machine learning used to assess how well a model gen…
Estimated Duration: 30–45 min
I understand the bias-variance tradeoff
In this lesson, you will learn about the bias-variance tradeoff, a fundamental concept in machine l…
Estimated Duration: 45–60 min
I know what a confusion matrix is
A confusion matrix is a fundamental tool in evaluating the performance of classification models. It…
Estimated Duration: 30–45 min
I know what precision, recall, and F1 score are
In classification tasks, evaluating model performance requires more than just accuracy. Precision, …
Estimated Duration: 30–45 min
I know what accuracy means in AI models
In this lesson, you will learn what accuracy means in the context of AI models. Accuracy is one of …
Estimated Duration: 15–30 min