import numpy as npimport matplotlibpyplot as pltfrom scipyinterpolate import make_interp_splinex = nparraydistancey = nparrayacc_dist xnew = nplinspacexmin xmax 300 gfg = make_interp_splinex y k=3

import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import make_interp_spline

x = np.array(distance) y = np.array(acc_dist)

xnew = np.linspace(x.min(), x.max(), 300)

gfg = make_interp_spline(x, y, k=3)

y_new = gfg(xnew)

plt.plot(xnew, y_new, color='chartreuse') plt.plot(x, y, color='blue') plt.scatter(x, y, color='black') plt.xlabel("Distance") plt.ylabel("Classification Accuracy") plt.show()