In the code belowfrom sklearn.model_selection import train_test_split X_train, X_test, Y_train, Y_test = train_test_split(x_no_outliers, y_no_outliers, test_size=0.2, random_state=0, shuffle=True)What does the command test_size=0.2 do?

Suppose I want to simulate a Brownian motion path with the code deltat = 1 t = np.arange(0.0, 4 + deltat, deltat) Wt = np.random.normal(0, 1, len(t) – 1).cumsum()Wt = TO BE FILLED Wt = np.append(0.0, Wt) plt.plot(t, Wt) plt.scatter(t, Wt, color=’r’) plt.xlabel(‘t’, fontsize=13) plt.ylabel(‘$W_t$’, fontsize=13) plt.title(‘Brownian Motion Path’, fontsize=13);What should I include in TO BE FILLED so that this code plots a Brownian motion path?

Assume we live in a world where the CAPM holds and it is given by  ER = lambda beta: beta * 0.05 + 0.02If you know this linear relationship between beta and ER, you can compute the ER for a given beta.What is the ER on a stock with beta = 1.5?

When using one-hot encoding in a multiclass classification problem, which loss function should we employ?

According to Hick, the divine purpose could not be forwarded in a world that was designed as a

What was the turning point of the German offensive into Russia—Operation Barbarosa?

Which represents a similarity in the careers of Napoleon and Hitler?

Which of the following is the relationship between sentences 22 and 23?

The relationship between sentences seven and nine is

Compared with amniocentesis, chorionic villus sampling: