confusion matrix exam question solve | confusion matrix A to Z | precision , recall,accura formula скачать в хорошем качестве

confusion matrix exam question solve | confusion matrix A to Z | precision , recall,accura formula

confusion matrix exam question solve | confusion matrix A to Z | precision , recall,accura formula #engineermrsubir Links for all maths problem notes - https://drive.google.com/drive/folder... ////////////Chack the link Here you will find all exam question ans for exam \\\\\\\\\\\\\\ Link-    • Last-Minute AI and ML Preparation |  AI & ...   Whether you're a student cramming for an exam, a professional refreshing your knowledge, or simply an enthusiast seeking to deepen your understanding, this curated playlist is designed to provide you with essential concepts, practical applications, and insightful discussions in the field of AI and ML. Here, you will find all exam question solutions, go through the playlist I am sure you will score well in your exam. Let's define the terms: True Positive (TP): Spam emails correctly identified as spam. False Negative (FN): Spam emails incorrectly identified as not spam. False Positive (FP): Non-spam emails incorrectly identified as spam. True Negative (TN): Non-spam emails correctly identified as not spam. Calculations TP (True Positive): Spam emails correctly identified as spam. Given: Out of 150 detected as spam, only 50 are actually spam. So, TP = 50. FN (False Negative): Spam emails incorrectly identified as not spam. Total spam emails = 200. TP (correctly identified as spam) = 50. FN = Total spam - TP = 200 − 50 = 150 200−50=150. FP (False Positive): Non-spam emails incorrectly identified as spam. Total detected as spam = 150. True Positives (actual spams identified correctly) = 50. FP = Total detected as spam - TP = 150−50=100 150−50=100. TN (True Negative): Non-spam emails correctly identified as not spam. Total emails = 10,000. Total non-spam = Total emails - Total spam = 10,000−200=9, 800 10,000−200=9,800. FP = 100. TN = Total non-spam - FP = 9,800−100=9,700 9,800−100=9,700. Summary TP = 50 FN = 150 FP = 100 TN = 9,700 .......................................skip the tags............................................. #machinelearning #btech #cse #artificialintelligence #ml&ai #question #question_answer #lastmoment #enginnering,#deeplearning