Which of the following is a common evaluation metric for classification tasks in
Practice Questions
Q1
Which of the following is a common evaluation metric for classification tasks in neural networks?
Mean Absolute Error
F1 Score
Root Mean Squared Error
R-squared
Questions & Step-by-Step Solutions
Which of the following is a common evaluation metric for classification tasks in neural networks?
Step 1: Understand that classification tasks involve categorizing data into different classes or labels.
Step 2: Learn that evaluation metrics help us measure how well our classification model is performing.
Step 3: Recognize that the F1 Score is one of these evaluation metrics.
Step 4: Know that the F1 Score combines two important measures: precision (how many selected items are relevant) and recall (how many relevant items are selected).
Step 5: Conclude that the F1 Score is commonly used because it provides a balance between precision and recall, making it useful for evaluating classification models.
