Question

What does an accuracy measurement do?

1) Calculates the percentage of correct predictions created by the model.
2) Shows the different categories for true and false positives and negatives.
3) Rates the accuracy of the model on a scale from 1 to 10.
4) Tells the programmer a binary assessment of the model.

Answer 1

Accuracy is a measure of how close a measurement is to the correct or accepted value, while precision measures the closeness of repeated measurements. In the context of a model, accuracy calculates the percentage of correct predictions made by the model.

Step-by-step explanation:

Accuracy is a measure of how close a measurement is to the correct or accepted value of the quantity being measured. Precision is a measure of how close a series of measurements are to one another.

In the context of a model, an accuracy measurement calculates the percentage of correct predictions created by the model. It does not show different categories for true and false positives and negatives or rate the accuracy of the model on a scale from 1 to 10. Instead, accuracy provides a binary assessment of the model by determining how well it predicts the correct outcomes.