I am working on a data science project and trying to find the optimal parameters for my project this is what I want to test but it takes forever and I could not see the output since its been 1 hour. scores =[] for k in range(1, 200): rfc = RandomForestClassifier(n_estimators=k) rfc.fit(X_train_scaled, y_train) y_pred3 = rfc.predict(X_test_scaled) scores.append(accuracy_score(y_test, y_pred3)) import matplotlib.pyplot as plt %matplotlib inline # plot the relationship between K and testing accuracy # plt.plot(x_axis, y_axis) plt.plot(range(1, 200), scores) plt.xlabel('Value of n_estimators for Random Forest Classifier') plt.ylabel('Testing Accuracy') Is there a solution for speeding up this process. I am using Macbook Pro 14 inc and working on a M1 Pro chip Continue reading...
