Which evaluation metric is commonly used to assess the performance of a neural n

Practice Questions

Q1
Which evaluation metric is commonly used to assess the performance of a neural network in classification tasks?
  1. Mean Squared Error
  2. Accuracy
  3. R-squared
  4. F1 Score

Questions & Step-by-Step Solutions

Which evaluation metric is commonly used to assess the performance of a neural network in classification tasks?
  • Step 1: Understand what a neural network is. It is a type of computer program that learns from data to make predictions.
  • Step 2: Know that classification tasks involve sorting data into categories or classes.
  • Step 3: Learn about evaluation metrics, which are ways to measure how well the neural network is performing.
  • Step 4: Identify that accuracy is one of the most common evaluation metrics used in classification tasks.
  • Step 5: Understand that accuracy is calculated by taking the number of correct predictions and dividing it by the total number of predictions made.
  • Step 6: Realize that a higher accuracy means the model is performing better at classifying the data correctly.
No concepts available.
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