Which evaluation metric is commonly used to assess the performance of classifica

₹0.0

Question: Which evaluation metric is commonly used to assess the performance of classification models in cloud ML services?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common evaluation metric for classification models, measuring the proportion of correct predictions.

Which evaluation metric is commonly used to assess the performance of classification models in cloud ML services?

Which evaluation metric is commonly used to assess the performance of classification models in cloud ML services?

Step 1: Understand what a classification model is. It is a type of model that predicts categories or classes for given data.
Step 2: Learn about evaluation metrics. These are tools used to measure how well a model performs.
Step 3: Identify the most common evaluation metric for classification models. This is accuracy.
Step 4: Know what accuracy means. It is the percentage of correct predictions made by the model compared to the total predictions.
Step 5: Remember that accuracy is calculated by dividing the number of correct predictions by the total number of predictions and then multiplying by 100 to get a percentage.

No concepts available.