Exam AI-900 topic 1 question 60 discussion

Confidence is the right answer bitches

Given answer is wrong. The calculated probability of a correct image classification is typically referred to as "confidence." Confidence represents the level of certainty or probability assigned to a specific classification prediction made by a machine learning model. It indicates the model's belief in the accuracy of its prediction. For example, if a model classifies an image as a dog with a confidence of 0.85, it means the model is 85% confident that the image is correctly classified as a dog. On the other hand, accuracy is a metric that measures the overall correctness of the model's predictions. It represents the ratio of correct predictions to the total number of predictions made by the model. Accuracy alone does not provide information about the level of confidence or certainty for individual predictions.

Accuracy is correct. Confidence is a MODEL's confidence in it's own choice. That does not mean it is actually correct. Accuracy is the calculated probability of a correct classification (correct predictions / total predictions) at EVALUATION. If I was 90% confident in this answer, it doesn't mean that it is truly 90% chance of being correct. Confidence is used to show how "off" the model's thinking is.

Confidence is correct answer. B

Accuracy

confidence

Seems the right answer is Confidence, so ExamTopics please update the given correct answer here.

Confidence is the right answer -Confidence refers to the degree of certainty an AI model has about its prediction or decision. -Accuracy is the percentage of correct predictions -Root Mean Square Error (RMSE) is a statistical measure of the differences between predicted values and actual observed values. -Sentiment is typically associated with the emotional tone or attitude expressed in a piece of text.

Confidence is the right answer

confidence is the correct answer

Confidence is the correct answer

Confidence is the calculated probability of a correct image classification. PARKLIFE

Scoring for classification includes: confusion matrix, accuracy, recall, precision, F1-score, and AUC. Therefore among the answer choices, accuracy is the correct one.

EXAM TOPICS ! Please update the answer!

Confidence

Confidence https://learn.microsoft.com/en-us/training/modules/detect-objects-images-custom-vision/1a-what-is-object-detection

Confidence (as the documention describes)