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SILVER ๋“ฑ๊ธ‰์˜ ํŒ๋งค์ž ์ž๋ฃŒ

[A+ ์—ฐ์„ธ๋Œฟ’][2019 1ํ•™๊ธฐ ์ง„ํ–‰] ๋ฏธ์ƒ๋ฌผ๋ฐ์ƒ๋ฌผ๊ณตํ•™๊ธฐ์ดˆ์‹คํ—˜ Lab 10: Quantitative Structure Activity Relationship ๊ฒฐ๊ณผ๋ ˆํฌํŠธ

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์›Œ๋“œ
์ตœ์ดˆ๋“ฑ๋ก์ผ 2019.08.26 ์ตœ์ข…์ ฟ’์ž‘์ผ 2019.03
3P ๋ฏธ๋้ฉ๋ณด๊ธฐ
[A+ ์—ฐ์„ธ๋Œฟ’][2019 1ํ•™๊ธฐ ์ง„ํ–‰] ๋ฏธ์ƒ๋ฌผ๋ฐ์ƒ๋ฌผ๊ณตํ•™๊ธฐ์ดˆ์‹คํ—˜ Lab 10: Quantitative Structure Activity Relationship ๊ฒฐ๊ณผ๋ ˆํฌํŠธ
  • ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์†Œ๊ฐœ

    2019๋…„ 1ํ•™๊ธฐ์— ์ง„ํ–‰๋œ ์ƒ๋ช…๊ณตํ•™๊ณผ ๋ฏธ์ƒ๋ฌผ๋ฐ์ƒ๋ฌผ๊ณตํ•™๊ธฐ์ดˆ์‹คํ—˜ ๊ณผ๋ชฉ์—์„œ ์ตœ์ข… ์„ฑ์  A+๋ฅผ ๋ฐ›์€ ๊ฒฐ๊ณผ๋ ˆํฌํŠธ์ž…๋‹ˆ๋‹ค. ๊ฒฐ๊ณผ๋ ˆํฌํŠธ๊ฐ€ YSCEC์„ ์ด์šฉํ•˜์—ฌ Turnitin ๊ฒ€์ˆ˜๊ณผ์ •์„ ๊ฑฐ์น˜์ง€ ์•Š๊ณ  ๋ฉ”์ผ๊ณผ ํ•˜๋“œ์นดํ”ผ ์ œ์ถœ๋กœ ์ด๋ฃจ์–ด์ง€๊ธฐ ๋•Œ๋ฌธ์— ํ•ด๋‹น ๋ ˆํฌํŠธ ๋‚ด์šฉ์„ ์กฐ๊ธˆ์”ฉ๋งŒ ๋ณ€๊ฒฝํ•˜์—ฌ ์ œ์ถœํ•˜์‹œ๋ฉด ์ˆ˜์›”ํ•˜๊ฒŒ A+๋ฅผ ๋ฐ›์•„๊ฐ€์‹ค ์ˆ˜ ์žˆ์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ธ€๊ผด์€ ๋ง‘์€ ๊ณ ๋”•(๋ณธ๋ฌธ) ํ˜น์€ aํƒ€์ดํ‹€๊ณ ๋”•(๋„ค์ด๋ฒ„์—์„œ ๋‹ค์šด๋กœ๋“œ ๊ฐ€๋Šฅ)์œผ๋กœ ์ž‘์„ฑํ•˜์˜€์Šต๋‹ˆ๋‹ค.

    ๋ชฉ์ฐจ

    1. Quiz
    2. Reference

    ๋ณธ๋ๅฉ๋‚ด์šฉ

    Overfitting simply said is a model that models the training data too well. Overfitting happens in the case where a model learns the deal and noise in the training data to an extent that it gives negative impacts to the performance to the models which are on a new data set. Through the process of machine learning, the noise or random fluctuations in the training data has been picked up and learned as concepts by the model.

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท โ€œThe Application of Machine Learning in Biologyโ€, Ragothaman Yennamalli, Kolabtree Blog, Web, May 29th 2019 <https://machinelearningmastery.com/overfitting-and-underfitting-with-machine-learning-algorithms/>
    ยท โ€œMachine Learning and Its Application to Biologyโ€, Adi L Tarca, Vincent J Carey, Xue-wen Chen, Roberto Romero, Sorin Draghici, PLoS Comput Biol 3(6): e116, June 2007
    ยท โ€œOverfitting in Machine Learning: What is it and how to prevent itโ€, EliteDataScience, Web, May 29th 2019 <https://elitedatascience.com/overfitting-in-machine-learning>
    ยท โ€œOverfitting and Underfitting With Machine Learning Algorithmsโ€, Jason Brownlee, MachineLearningMastery, Web, May 29th 2019 <https://machinelearningmastery.com/overfitting-and-underfitting-with-machine-learning-algorithms/>
    ยท โ€œMachine learning and complex biological dataโ€, Chunming Xu, Scott A. Jackson, Genome Biology, April 2019
  • ์ž๋ฃŒํ›„๊ธฐ

      Ai ๋ฆฌ๋ทฐ
      ๋งค๋ฒˆ ์ƒˆ๋กœ์šด ์ธ์‚ฌ์ดํŠธ๋ฅผ ์ œ๊ณตํ•ด ์ฃผ์–ด ์ง€์‹์˜ ํญ์ด ๋„“์–ด์ง€๋Š” ๊ธฐ๋ถ„์ž…๋‹ˆ๋‹ค. ์งฟ’์‹ํŒ๋งค์ž ๋•๋ถ„์— ๋งŽ์€ ๊ฒƒ์„ ๋ฐฐ์šฐ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ •๋ง ์ถ”์ฒœํ•˜๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค!
    • ์ž์ฃผ๋ฌป๋Š”์งˆ๋ๅฉ์˜ ๋‹ต๋ณ€์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”

      ํ•ดํ”ผ์บ ํผ์Šค FAQ ๋”๋ต–๊ธฐ

      ๊ผญ ์•Œ์•„์ฃผ์„ธ์š”

      • ์ž๋ฃŒ์˜ ์ •๋ณด ๋ฐ ๋‚ด์šฉ์˜ ์ง„์‹ค์„ฑ์— ๋Œ€ํ•˜์—ฌ ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๋ณด์ฆํ•˜์ง€ ์•Š์œผ๋ฉฐ, ํ•ด๋‹น ์ •๋ณด ๋ฐ ๊ฒŒ์‹œ๋ฌผ ์ €์ž‘๊ถŒ๊ณผ ๊ธฐํƒ€ ๋ฒ•์  ์ฑ…์ž„์€ ์ž๋ฃŒ ๋“ฑ๋ก์ž์—๊ฒŒ ์žˆ์Šต๋‹ˆ๋‹ค.
        ์ž๋ฃŒ ๋ฐ ๊ฒŒ์‹œ๋ฌผ ๋‚ด์šฉ์˜ ๋ถˆ๋ฒ•์  ์ด์šฉ, ๋ฌด๋‹จ ์ „์žฌโˆ™๋ฐฐํฌ๋Š” ๊ธˆ์ง€๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
        ์ €์ž‘๊ถŒ์นจํ•ด, ๋ช…์˜ˆํ›ผ์† ๋“ฑ ๋ถ„์Ÿ ์š”์†Œ ๋ฐœ๊ฒฌ ์‹œ ๊ณ ๊ฐ๋น„๋ฐ”์นด์ง€๋…ธ Viva์˜ ์ €์ž‘๊ถŒ์นจํ•ด ์‹ ๊ณ ๋น„๋ฐ”์นด์ง€๋…ธ Viva๋ฅผ ์ด์šฉํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
      • ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๊ตฌ๋งค์ž์™ฟ’ ํŒ๋งค์ž ๋ชจ๋‘๊ฐ€ ๋งŒ์กฑํ•˜๋Š” ์„œ๋น„์Šค๊ฐ€ ๋˜๋„๋ก ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์•„๋ž˜์˜ 4๊ฐ€์ง€ ์ž๋ฃŒํ™˜๋ถˆ ์กฐ๊ฑด์„ ๊ผญ ํ™•์ธํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
        ํŒŒ์ผ์˜ค๋ฅ˜ ์ค‘๋ณต์ž๋ฃŒ ์ €์ž‘๊ถŒ ์—†์Œ ์„ค๋ช…๊ณผ ์‹ค์ œ ๋‚ด์šฉ ๋ถˆ์ผ์น˜
        ํŒŒ์ผ์˜ ๋‹ค์šด๋กœ๋“œ๊ฐ€ ์ œ๋Œ€๋กœ ๋˜์ง€ ์•Š๊ฑฐ๋‚˜ ํŒŒ์ผํ˜•์‹์— ๋งž๋Š” ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ •์ƒ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ ๋‹ค๋ฅธ ์ž๋ฃŒ์™ฟ’ 70% ์ด์ƒ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜๋Š” ๊ฒฝ์šฐ (์ค‘๋ณต์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ ํ•„์š”ํ•จ) ์ธํ„ฐ๋„ท์˜ ๋‹ค๋ฅธ ์‚ฌ์ดํŠธ, ์—ฐ๊ตฌ๊ธฐ๊ด€, ํ•™๊ป“, ์„œ์  ๋“ฑ์˜ ์ž๋ฃŒ๋ฅผ ๋„์šฉํ•œ ๊ฒฝ์šฐ ์ž๋ฃŒ์˜ ์„ค๋ช…๊ณผ ์‹ค์ œ ์ž๋ฃŒ์˜ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ
    ๋ฌธ์„œ ์ดˆ์•ˆ์„ ์ƒ์„ฑํ•ด์ฃผ๋Š” EasyAI
    ์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค์˜ ๋ฐฉ๋Œ€ํ•œ ์ž๋ฃŒ ์ค‘์—์„œ ์„ ๋ณ„ํ•˜์—ฌ ๋‹น์‹ ๋งŒ์˜ ์ดˆ์•ˆ์„ ๋งŒ๋“ค์–ด์ฃผ๋Š” EasyAI ์ž…๋‹ˆ๋‹ค.
    ์ €๋Š” ์•„๋ž˜์™ฟ’ ๊ฐ™์ด ์ž‘์—…์„ ๋„์™ฟ’๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์ฃผ์ œ๋งŒ ์ž…๋ ฅํ•˜๋ฉด ๋ชฉ์ฐจ๋ถ€ํ„ฐ ๋ณธ๋ๅฉ๋‚ด์šฉ๊นŒ์ง€ ์ž๋™ ์ƒ์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์žฅ๋ฌธ์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ์ž‘์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์Šคํ† ์–ด์—์„œ ๋ฌด๋ฃŒ ์บ์‹œ๋ฅผ ๊ณ„์ •๋ณ„๋กœ 1ํšŒ ๋ฐœ๊ธ‰ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ ๋ฐ”๋กœ ์ฒดํ—˜ํ•ด ๋ณด์„ธ์š”!
    ์ด๋Ÿฐ ์ฃผ์ œ๋“ค์„ ์ž…๋ ฅํ•ด ๋ณด์„ธ์š”.
    - ์œ ์•„์—๊ฒŒ ์ ํ•ฉํ•œ ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๊ธฐ์ค€๊ณผ ํŠน์„ฑ
    - ํ•œ๊ตญ์ธ์˜ ๊ฐ€์น˜๊ด€ ์ค‘์—์„œ ์ •์‹ ์  ๊ฐ€์น˜๊ด€์„ ์ด๋ฃจ๋Š” ๊ฒƒ๋“ค์„ ๋ฌธํ™”์  ๋ฌธ๋ฒ•์œผ๋กœ ์ •๋ฆฌํ•˜๊ณ , ํ˜„๋Œ€ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ผ์–ด๋‚˜๋Š” ์‚ฌ๊ฑด๊ณผ ์‚ฌ๊ณ ๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ž์‹ ์˜ ์˜๊ฒฌ์œผ๋กœ ๊ธฐ์ˆ ํ•˜์„ธ์š”
    - ์ž‘๋ณ„์ธ์‚ฌ ๋…ํ›„๊ฐ
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    ์ฑ—๋ด‡์œผ๋กœ ๊ฐ„ํŽธํ•˜๊ฒŒ ์ƒ๋‹ดํ•ด๋ณด์„ธ์š”.
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