Least Square Method, Curve Fitting, Python, Residual, Data.
plt.show() # Calculate R-squared ss_total = np.sum((y_data - np.mean(y_data))**2) ss_residual = np.sum(residuals**2) r_squared = 1 - (ss_residual / ss_total) print(f"R-squared: {r_squared}") R-squared: 0.9155784119990455 Example: 2 Another example: y= a* exp(-b*x)+c def func(x, a, b, c): return a *