An activation function is a function that determines the output of a neuron based on the weighted sum of its inputs. Common activation functions include sigmoid, ReLU (Rectified Linear Unit), and tanh (hyperbolic tangent).

The actual by predicted chart compares the actual values with the predicted values, showing us how well the trained model fits the data.

Adaptive stepwise is a forward stepwise method that allows removing a variable currently in the model but no longer significant. It is adaptive.

Ensemble models combine the predictions of base learners using aggregation methods. Common aggregation methods include averaging, voting, and weighted voting. The aggregated result is often more accurate and reliable than the predictions of individual models.

AI is a system that simulates human intelligence for solving problems or making decisions. AI can learn, predict, improve, and solve. Basically, AI could be an application or solution that automatically operates and act with minimal human interference.

A predictive model with an interval target variable