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Identification of handwritten digits of database with machine learning Random Forest By Rafea Mohammed Ibrahim Usol alfiqh department, College of Islamic Sciences/ AlIraqia University, Iraq. rafea.ibrahim@aliraqia.edu.iq
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Identification of handwritten digits refers to the process of recognizing and classifying numeric digits that are written by hand, often using machine learning algorithms.
Individuals or organizations that collect handwritten digit data for research, development, or data analysis purposes may be required to file identification of handwritten digits.
To fill out identification of handwritten digits, one must collect the handwritten samples, preprocess the data, and use appropriate machine learning models to classify the digits.
The purpose of identification of handwritten digits is to automate the recognition process, improve data processing efficiency, and enhance the accuracy of digit classification.
Information that must be reported includes the digit recognized, the confidence levels of the classifications, and any preprocessing steps taken during the identification process.
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