Recognizing Handwritten Digits

Recognizing Handwritten Digits

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In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.

Index Distribution

Train Test Split

Classification Report

Confusion Matrix

Radius Neighbors Classifier

Course Content

Recognizing Handwritten Digits

Recognizing Handwritten Digits

Introduction Dataset Import Visualization Class Balance Index Distribution Train Test Split KNN Classification Report Confusion Matrix Radius Neighbors Classifier

Classification Report

In this chapter, we will assess the classifier we have recently trained, focusing on its performance in predicting test values.

Task

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Print a detailed classification report using the classification_report function from sklearn.metrics.

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Section 1. Chapter 8

AVAILABLE TO ULTIMATE ONLY

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