AI
Predict and Recall: Self example: Okay Assume in next month you predict that every saturday it will rain. In this example: If it rains for 2 saturday then prediction is 50%(i.e 2/4 = 50%) Recall is another view point and observing at the finish of predicted month and seeing if it rained other than saturday. The it rained one Monday in the month then that is missed to be predicted. So calcultation of recall is (2/(2predicted correctly+1 missed)) system found 2/3 = 75% the system is 75% capable to find the happenings. ChatGPT ex: Absolutely, I can explain precision and recall in the context of stock market predictions. Imagine you're developing a system that predicts whether a stock will go up (positive) or down (negative) tomorrow. Precision and recall can help you measure how accurate your predictions are. Precision for Stocks: Precision here would be the ratio of correctly predicted "up" days to all the days your system predicted as "up." In other words, it&#