How can I use Pandas to create a confusion matrix?

How can I use Pandas to create a confusion matrix?

You can use the pandas library along with sklearn to create a confusion matrix. First, ensure you have both libraries installed.

What are the steps to install these libraries?

You can install them using pip. Run pip install pandas scikit-learn in your terminal.

Once I have them installed, how do I create the confusion matrix?

You can use the confusion_matrix function from sklearn.metrics and then convert it to a DataFrame using Pandas.

Can you show me a code example?

Sure! Here's a simple example:

import pandas as pd
from sklearn.metrics import confusion_matrix

# Sample data
true_labels = [1, 0, 1, 1, 0, 1, 0]
predicted_labels = [1, 0, 0, 1, 0, 1, 1]

# Create confusion matrix
cm = confusion_matrix(true_labels, predicted_labels)

# Convert to DataFrame
cm_df = pd.DataFrame(cm, index=['Actual 0', 'Actual 1'], columns=['Predicted 0', 'Predicted 1'])
print(cm_df)