In classification, there are many different evaluation metrics. The most commonly used is accuracy, which measures the frequency of correct predictions made by the model. Accuracy is a good metric because it is easy to understand, and we generally want to achieve the most correct guesses. In some cases, you may need to consider using … Read more
What is a confusion matrix? It is a table used to evaluate the model’s error locations in classification problems. The rows represent the actual categories that the results should belong to, while the columns represent the predictions we made. Using this table, we can easily identify which predictions are incorrect. Creating a Confusion Matrix A … Read more
Introduction When an embedded system is running, the RTC clock can be affected by various factors leading to delays or timeouts, impacting system time synchronization and functionality stability. This article will propose a comprehensive solution ranging from hardware adaptation to software algorithm optimization to address this issue, ensuring the accuracy and reliability of the RTC … Read more