A statistical technique used to find the relationship between variables. In an ML context, linear regression finds the relationship between features and a label .1
목차 목차 관련 글 ML crash course - Logistic regression 이 글을 인용: “Output of linear regression is referred to as the log odds because if you solve the sigmoid function for , then…” 선형 모델 이 글을 인용: “Linear regression and logistic regression are two types of linear models.” 회귀 모형 이 글을 인용: “Linear regression, which finds the line that best fits label values to features.” 로지스틱 회귀 “The model generates a raw prediction () by applying a linear function of input features.” Log loss 이 글을 인용: “Squared loss works well for a linear regression where the rate of change of the output values is constant.” Introduction to Machine Learning “Machine learning crash course: If you're ready for an in-depth and hands-on approach to learning more about ML.” Interpretability (machine learning) 이 글을 인용: “Most linear regression models, for example, are highly interpretable.” ML crash course - Classification “You can convert a logistic regression model that predicts a probability into a binary classification model that…” 손실 함수 이 글을 인용: “L2 loss (or MSE) is the loss function for linear regression.” Parameter (machine learning) 이 글을 인용: “For example, in a linear regression model, the parameters consist of the bias () and all the weights (, , and s…” Mean squared error 이 글을 인용: “Mean Squared Error is a popular training optimizer, particularly for linear regression.” 선형 변환 주제어가 겹침 Sigmoid function “Converting the raw output of a logistic regression or multinomial regression model to a probability.” 모델 (기계학습) “A linear regression model consists of a set of weights and a bias.” Classification threshold “In a binary classification, a number between 0 and 1 that converts the raw output of a logistic regression mode…” Prediction (machine learning) 이 글을 인용: “The prediction of a linear regression model is a number.” 분류 모델 “Regression models predict numbers rather than classes.” 지도 학습 “Supervised machine learning is analogous to learning a subject by studying a set of questions and their corresp…” Class (machine learning) “In contrast, a regression model predicts a number rather than a class.”