Gradual Response

Gradual answers are an answer type that allows the user to select the level of difficulty of the question. A graduated answer is a series of questions that become progressively more difficult, and the user can choose which level they want to complete.

For example, if the user selects the first level, they will be asked a simple question that they can easily answer. If he chooses a more difficult level, then he will be asked a more difficult question, which will require more time and knowledge.

Gradual answering can be useful for people who want to improve their knowledge in a particular area or for those who want to test their problem-solving skills. Additionally, graded response can be used for educational purposes to help students develop their skills and knowledge in various areas.

Gradual response is a formula that allows you to improve the efficiency of the training process by using adaptive algorithms when optimizing training weight during machine learning. You can increase your forecasts by percentage using a gradual approach, provided you use many useful features. This function