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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
DEMONSTRATING THE BEST OF THE RANDOM WOODLAND ARRANGEMENT MODEL FOR DYSGRAPHIA IDENTIFICATION USING CLASSIFICATION AND MACHINE LEARNING APPROACHES
Authors
K Amarkanth Reddy, Syed Amreen, K.Uma, Thota Shiva Kumar
Keywords
Dysgraphia, Learning hardships, Machine Learning.
Abstract
Dysgraphia is a condition that affects writers' ability. Identification of dysgraphia at an early stage of a child's development is a difficult task. It may very easily be identified using challenging skills associated to the Dysgraphia issue. Space knowledge, copying skills, and Visual Spatial Response are some of the elements used in this review engine capacity for Dysgraphia identifiable evidence. Using an element selection technique, the factors influencing dysgraphia inability is examined EN (Elastic Net). AI tactics are used to organize the crucial provisions. On the Dysgraphia dataset, the models considered in this sequence are KNN (K-Nearest Neighbors), Naive Bayes, Decision tree, Random Forest, and SVM (Support Vector Machine). Results demonstrate the best of the Random woodland arrangement model for Dysgraphia recognizable proof.
IJCRT's Publication Details
Unique Identification Number - IJCRTV020002
Paper ID - 231117
Page Number(s) - 7-11
Pubished in - Volume 7 | Issue 1 | February 2019
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
K Amarkanth Reddy, Syed Amreen, K.Uma, Thota Shiva Kumar, "DEMONSTRATING THE BEST OF THE RANDOM WOODLAND ARRANGEMENT MODEL FOR DYSGRAPHIA IDENTIFICATION USING CLASSIFICATION AND MACHINE LEARNING APPROACHES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.7, Issue 1, pp.7-11, February 2019, Available at :http://www.ijcrt.org/papers/IJCRTV020002.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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