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Machine Learning Grade Prediction Using Students' Grades and Demographics

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์ €์ž

Mwayi Sonkhanani, Symon Chibaya, Clement N. Nyirenda

๐Ÿ’ก ๊ฐœ์š”

๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ๋ถ„๋ฅ˜ ๋ฐ ํšŒ๊ท€ ๋ฌธ์ œ๋ฅผ ๋ถ„๋ฆฌํ•˜์—ฌ ์ ‘๊ทผํ•˜๋˜ ๋ฐฉ์‹์—์„œ ๋ฒ—์–ด๋‚˜, ํ•™์ƒ๋“ค์˜ ํ•ฉ๊ฒฉ/๋ถˆํ•ฉ๊ฒฉ ๊ฒฐ๊ณผ์™€ ์—ฐ์†์ ์ธ ์„ฑ์ ์„ ๋™์‹œ์— ์˜ˆ์ธกํ•˜๋Š” ํ†ตํ•ฉ์ ์ธ ๋จธ์‹ ๋Ÿฌ๋‹ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. 6๊ฐ€์ง€ ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋ธ์„ ํ‰๊ฐ€ํ•œ ๊ฒฐ๊ณผ, ํ•™์ƒ๋“ค์˜ ํ•™์—… ๋ฐ ์ธ๊ตฌ ํ†ต๊ณ„ํ•™์  ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ตœ๋Œ€ 96%์˜ ์ •ํ™•๋„๋กœ ์„ฑ์ ์„ ์˜ˆ์ธกํ•˜๊ณ , ๊ฒฐ์ • ๊ณ„์ˆ˜ 0.70์„ ๋‹ฌ์„ฑํ•˜์—ฌ ๊ธฐ์กด ๋ฐฉ๋ฒ•๋ก ์„ ๋Šฅ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์„ฑ๊ณผ๋Š” ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์˜ ์กฐ๊ธฐ ์œ„ํ—˜ ํ•™์ƒ ์‹๋ณ„ ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•˜๊ณ , ์ด์ค‘ ๊ณผ์ œ ์˜ˆ์ธก์˜ ํ†ตํ•ฉ์ด ๋ณด๋‹ค ํฌ๊ด„์ ์ธ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•จ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

๐Ÿ”‘ ์‹œ์‚ฌ์  ๋ฐ ํ•œ๊ณ„

โ€ข
์กฐ๊ธฐ ์œ„ํ—˜ ํ•™์ƒ ์‹๋ณ„ ๋ฐ ๊ฐœ์ž…: ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์œผ๋กœ ์„ฑ์  ๋ถ€์ง„ ์œ„ํ—˜์ด ์žˆ๋Š” ํ•™์ƒ๋“ค์„ ์กฐ๊ธฐ์— ์‹๋ณ„ํ•˜์—ฌ ๋งž์ถคํ˜• ์ง€์›์„ ์ œ๊ณตํ•จ์œผ๋กœ์จ ํ•™์—… ์‹คํŒจ์œจ์„ ๋‚ฎ์ถœ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
โ€ข
์ž์› ์ตœ์ ํ™”: ํ•™์ƒ๋“ค์˜ ํ•™์—… ์„ฑ๊ณผ ์˜ˆ์ธก ์ •ํ™•๋„๋ฅผ ๋†’์ž„์œผ๋กœ์จ ๊ต์œก ์ž์›์„ ๋ณด๋‹ค ํšจ์œจ์ ์œผ๋กœ ๋ฐฐ๋ถ„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
โ€ข
๋ฐ์ดํ„ฐ ํ”„๋ผ์ด๋ฒ„์‹œ ๋ฐ ํŽธํ–ฅ์„ฑ: ์ œ์•ˆ๋œ ํ”„๋ ˆ์ž„์›Œํฌ์˜ ์‹ค์ œ ์ ์šฉ ์‹œ, ํ•™์ƒ๋“ค์˜ ๋ฏผ๊ฐํ•œ ๊ฐœ์ธ ์ •๋ณด๋ฅผ ๋‹ค๋ฃจ๊ธฐ ๋•Œ๋ฌธ์— ๋ฐ์ดํ„ฐ ํ”„๋ผ์ด๋ฒ„์‹œ ๋ฌธ์ œ์™€ ์ธ๊ตฌ ํ†ต๊ณ„ํ•™์  ๋ฐ์ดํ„ฐ ์‚ฌ์šฉ์œผ๋กœ ์ธํ•œ ์ž ์žฌ์  ํŽธํ–ฅ์„ฑ์— ๋Œ€ํ•œ ์‹ฌ์ธต์ ์ธ ๊ณ ๋ ค์™€ ์™„ํ™” ์ „๋žต์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.
๐Ÿ‘
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