Excalidraw Data
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Excalidraw Data
Text Elements
One-hot encoding ^M0C4QMaS
Mean-target encoding ^tQUyUE5g
Cross-validation ^4Gql3jwy
Overfitting ^djOgR6Uv
Undertraining ^Va3XdRMN
Gradient descent ^NVMoKx9Y
Quality function ^v9BnSXH4
Symmetric Loss functions ^dMmrZdpf
unsymmetrical Loss functions ^VTVJG4X0
TF-IDF ^WnltRw2o
Лемматизация ^dFO7eIaw
стемминг ^u0lueNYY
Предсказание ^niliR2DZ
Классификация ^eajeP9HA
Precision ^p2tNOT4v
Recall ^XGQ9iwpo
F-мера ^U5Z3p3rs
AUK - ROC ^RRZU2yFC
Метод опорных векторов(SVM) ^Hlkpj0z5
One-vs-Rest ^wRkGFNCy
One-vs-One ^9pbFa5TZ
T-SNE ^KZS2CuuB
PCA ^LwWMKAW3
k-Nearest Neigbor ^fhUdPf11
Дерево ^LysdxbgV
Случайный лес ^8hbvBKiS
Бэггинг ^Tq2PFJs2
Стекинг ^vVYnbviE
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Что это? ^cEAlp0S2
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Почему это важно? (ответить нужно максимально подробно) ^90SDBOmc
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Как это связано со всем остальным? ^hlEYw2ag
Способ вычисление ошибок ^8cFA7Tc2
L-2 ^VcV9eZeh
L-1 ^Eh5ZhKnE
Маштабирование ^bzXmA6vw
Ответы должны создавать несколько связей (можно использовать нейросеть чтобы определить все ли я связи создал) ^EcnYmSf9
Снижение переобучение ^eNSrumSg
Мультиколлинеарность ^T7eZzZ61
EDA ^7O6fW4jQ
Отбор признаков ^Fu1kTJLn
Метод обёртки ^tbOHKoG8
Метод фильтрации ^eJl12Gd8
PR-curva ^DGMu7j8f
Сбалансированный dataset ^Prxqt5zd
НЕ сбалансированный dataset ^I9cbvMoc
Микро усреднение ^STpiaavZ
Макро усреднение ^3iJFMtbx
%%
Drawing
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