Therefore, an intuitive method for detecting chaos directly, purely from **data** is possible. In other words, predictability itself can act as a chaos indicator. From our studies we observed that by using the predictability of less-complex surrogate models, and a small volume of training data, some nonlinear behaviors in a dynamical system can be well characterized.