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Unsupervised learning finds hidden patterns in data without knowing the output. In contrast, supervised learning works with labeled data, where both inputs and outputs are known.
https://t.co/EeBTuzGmMR
Explanation: Accuracy tells us how many predictions were correct overall, while precision focuses on the quality of positive predictions.
Find more details here:
https://t.co/k25Fx5Avzr
Imbalanced datasets: In cases where one class dominates, accuracy can be high without the model performing well for the minority class.
https://t.co/Fh91UpPD0P
๐๐ก๐๐ญ ๐ข๐ฌ ๐๐๐๐ฎ๐ซ๐๐๐ฒ ๐ข๐ง ๐ญ๐ก๐ ๐๐จ๐ง๐ญ๐๐ฑ๐ญ ๐จ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ? Accuracy measureshow often the model correctly predicts the outcome. It is a simple metric used in classification algorithms. Check for more details - https://t.co/7T3CYKbbSj