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Python 3
Creating the Confusion Matrix

Creating the Confusion Matrix

Creating the Confusion Matrix

Creating the Confusion Matrix

A confusion matrix summarizes the model’s predictions.

Code

from sklearn.metrics import confusion_matrix

cm = confusion_matrix(

Y_test,

testing_predictions

)

sns.heatmap(

cm,

annot=True,

fmt='d',

cmap='Blues'

)

plt.title("Confusion Matrix")

plt.xlabel("Predicted")

plt.ylabel("Actual")

plt.show()

Explanation

The confusion matrix displays:

Correctly classified genuine transactions
Correctly classified fraudulent transactions
False positives
False negatives

It provides a detailed understanding of the model’s strengths and weaknesses.

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Creating the Confusion Matrix

Contents

Creating the Confusion Matrix

Code

Explanation

Credit Card Fraud Detection for Beginners using Data Science

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