Sentence examples for regression and ranking from inspiring English sources

At a high level there are common kinds of tasks frequently seen in ML: classification, regression and ranking.

The common ML tasks (classification, regression and ranking) all have standard evaluation metrics with which it would be worth familiarizing yourself.

The prediction of BUX stock values for the ex post period was also done by SVR model using software developed by Gunn [9] which is the implementation of Vapnik's Super Vector Machine for the problem of pattern recognition, regression, and ranking function [23].

For adjusted analyses, we used the factor scores as ranked numerical data (continuous variables) in linear regression and ranked into thirds (categorical data) for risk estimation.

Linear regression and rank correlation analysis were utilized to determine the relationship between nc-rRNA and total rRNA.

To confirm the significance of the covariates identified by the logistic regression, and to rank their importance, we used the Bootstrap Inclusion Fraction (BIF) criterion [ 27].

Each experiment consisted of the training of a kernel-based QSAR model using support vector regression and the ranking of a disjoint screening data set according to the predicted activity.

Survival curves were evaluated by Cox's regression and log-rank test.

Correlation analyses were performed with the use of linear regression and Spearman rank coefficient.

Survival analysis (Cox regression and log rank) for primary outcome was done.

Relationship with outcome was analyzed using multivariate Cox regression and log-rank analyses.