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Prediction task is a method of supervised learning where we want to predict the target feature precisely as possible given some data.
Classification is a method of supervised learning where it is sufficient to derive a so-called class from the data, where the prediction is a class, i.e., categorical data is sought.
Social Network Data Analysis (SNDA) is an emerging field in statistics in the recent years, and the Exponential Random Graph Model (ERGM) is a promising approach for modelling network data...
Logistic regression also called a logit model, is used to model dichotomous outcome variables. In the logit model, the log odds of the outcome are modeled as a linear combination of the predictor variables.
Robust regression is an alternative to least squares regression when data are “polluted” with outliers or influential observations, and it can also be used to detect influential observations.
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