๐Ÿฆ–ํŒŒ์ด์ฌ ๋จธ์‹ ๋Ÿฌ๋‹ ์™„๋ฒฝ ๊ฐ€์ด๋“œ

1.3-1. ์ •ํ™•๋„(Accuracy)

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2.3.2 ์˜ค์ฐจํ–‰๋ ฌ(Confusion matrix)

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3.3-3. ์ •๋ฐ€๋„(precision)๊ณผ ์žฌํ˜„์œจ(recall)

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4.3-4. F1 score

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5.3-5. ROC curve์™€ AUC

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6.4-1. ๋ถ„๋ฅ˜์˜ ๊ฐœ์š” ๋ฐ ๊ฒฐ์ •ํŠธ๋ฆฌ

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7.4-2. ์•™์ƒ๋ธ” ํ•™์Šต

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8.4-3. ๋žœ๋คํฌ๋ ˆ์ŠคํŠธ

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9.4-4. GBM

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10.4-5. XGBoost

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11.5-1. ํšŒ๊ท€๋ž€?

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12.5-2. ๋‹จ์ˆœ ์„ ํ˜• ํšŒ๊ท€๋ฅผ ํ†ตํ•œ ํšŒ๊ท€ ์ดํ•ด

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13.4-3. ๊ฒฝ์‚ฌํ•˜๊ฐ•๋ฒ• (Gradient Descent)

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14.5-4. ๋‹คํ•ญ ํšŒ๊ท€์™€ ๊ณผ๋Œ€์ ํ•ฉ ๋ฐ ๊ณผ์†Œ์ ํ•ฉ ์ดํ•ด

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15.5-5. ๊ทœ์ œ ์„ ํ˜• ๋ชจ๋ธ

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16.6-1. ์ฐจ์›์ถ•์†Œ ๊ฐœ์š”

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17.6-2. PCA

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18.6-3. ๊ทธ ์™ธ ๋‹ค๋ฅธ ์ฐจ์›์ถ•์†Œ ๊ธฐ๋ฒ•๋“ค

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19.7-1. K-Means ์•Œ๊ณ ๋ฆฌ์ฆ˜

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20.7-2. ๊ตฐ์ง‘ ํ‰๊ฐ€ - ์‹ค๋ฃจ์—ฃ ๋ถ„์„

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21.7-3. ํ‰๊ท  ์ด๋™

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22.7-4. GMM(Gaussian Mixture Model)

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23.7-5. DBSCAN

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