Hi Isyraf,
It is possible to predict heavy metal concentrations for a specific date using a training dataset consisting of historical data for a certain number of days. In your case, if you have 5 days of training data and 1 day of testing data, you can use the training data to build a predictive model and then apply it to predict the heavy metal concentration for the testing day.
To do so, you can use various machine learning techniques such as regression, time series analysis, or other predictive modeling approaches. These techniques can take into account the date as a variable and use it along with the historical heavy metal concentration data to make predictions. Keep in mind that the accuracy of the predictions will depend on the quality and representativeness of your training data, as well as the chosen modeling technique. Additionally, it's important to note that heavy metal concentrations can be influenced by various factors, so it's advisable to consider other relevant variables if available, such as weather conditions or industrial activities, to improve the accuracy of your predictions.
For more insight, please refer to the following documentation pages:
