9. Multiclass Classification Algorithms

Activity 9.01: Performing Multiclass Classification and Evaluating Performance

Solution:

1. Import the required libraries:

   import pandas as pd

   import numpy as np

   from sklearn.ensemble import RandomForestClassifier

   from sklearn.model_selection import train_test_split

   from sklearn.metrics import classification_report,\

                               confusion_matrix,\

                               accuracy_score

   from sklearn import metrics

   from sklearn.metrics import precision_recall_fscore_support

   import matplotlib.pyplot as plt

   import seaborn as sns

2. Load the marketing data into a DataFrame named data and look at the first five rows of the DataFrame using the following code:

   data...