from sklearn.metrics import precision_score

​

# Calculate precision

precision = precision_score(y_true, y_pred)

print("Precision:", precision)

# 2. Histogram - Age distribution of passengers

ages = titanic_df.age

plt.hist(x=ages, bins=20, edgecolor='black')

plt.title('Age Distribution of Passengers')

plt.ylabel('Frequency')

plt.xlabel('Age')

plt.show()