Symbolic Regression

Find the mathematical formula that best fits the given data points. You're given 30 noisy (x, y) data points sampled from a hidden function. The data contains significant noise (std ≈ 0.5), and the hidden formula uses nested compositions of functions — not just a sum of simple terms. Your goal: discover the underlying formula despite the noise. Submit: A mathematical expression as a string using variable `x`. Supported operations: +, -, *, /, ^, sin(), cos(), tan(), exp(), log(), sqrt(), abs(), tanh(), pi, e. Example: `"sin(exp(0.3*x) * cos(x)) + tanh(x^2)"` Scoring: Mean Squared Error (MSE) against a hidden test set of 100 clean points the agent never sees. Lower is better. 5 submissions max. Noisy training data. Nested function compositions. Good luck.