Provides two important functions for producing Gain chart and Lift chart for any classification model.

Data sets used for demonstrating or testing model-related
    packages are contained in this package.

More data sets used for demonstrating or testing model-related 
    packages are contained in this package. The data sets are downloaded and
    cached, allowing for more and bigger data sets.

Uses 'dplyr' and 'tidyeval' to fit statistical models inside
    the database. It currently supports KMeans and linear regression
    models.

Website generator with HTML summaries for predictive models.
    This package uses 'DALEX' explainers to describe global model behavior. 
    We can see how well models behave (tabs: Model Performance, Auditor),
    how much each variable contributes to predictions (tabs: Variable Response) 
    and which variables are the most important for a given model (tabs: Variable Importance).
    We can also compare Concept Drift for pairs of models (tabs: Drifter).
    Additionally, data available on the website can be easily recreated in current R session.
    Work on this package was financially supported by the NCN Opus grant 2017/27/B/ST6/01307 
    at Warsaw University of Technology, Faculty of Mathematics and Information Science.

An developer focused, low dependency package in 'tidymodels' that
    provides functions to register how models are to be used. Functions to
    register models are complimented with accessor functions to retrieve
    registered model information to aid in model fitting and error handling.

Defines classes and methods to learn models and use them
  to predict binary outcomes.  These are generic tools, but we also
  include specific examples for many common classifiers.

Statisticians often want to compare the fit of different models on 
    the same data set. However, this usually involves a lot of manual code to 
    fish items out of summary() or plain model objects. 'modelfactory' offers 
    the capability to pass multiple models in and get out metrics or 
    coefficients for quick comparison with easy-to-remember syntax.