Predictive

Boosted Model creates generalized boosted regression models based on Gradient Boosting methods.

Creates a model relating non-negative integer value field to fields expected as predictor variables.

Compares the performance of one+ Alteryx-generated predictive models using cross-validation.

Creates a set of if-then split rules to optimize model creation criteria.

Integrates with Promote, a platform for deploying, managing, and scaling predictive models.

Creates a model that constructs a set of decision tree models to predict a target variable.

Relates a gamma distributed, strictly positive variable of interest to one or more variables.

Produces a cumulative captured response chart and an incremental response rate chart.

Creates a model estimating values, or relationships between variables.

Creates a model that relates a target binary variable to one or more predictor variables.

The Model Coefficients tool creates a table of model coefficient names and values.

The Model Comparison tool compares the performance of one or more different predictive models.

Creates a probabilistic classification model of a set of predictor and categorical target variables.

Examines whether models are equivalent in terms of their predictive capabilities.

Generates an interactive dashboard of a network, to explore relationships between the various nodes.

The Neural Network tool creates a feedforward perceptron neural network model with a single hidden layer.

Creates an estimate of a variable by applying an R model to a set of supplied predictor variables.

The Spline Model tool provides the multivariate adaptive regression splines algorithm of Friedman.

Determines the best predictor variables to include in a model from a set of potential variables.

A popular set of supervised learning algorithms.

The Survival Analysis tool implements common methods of survival analysis.

The Survival Score tool provides both the estimated relative risk and restricted mean survival time.

Performs a Welch's two sample t-test of the difference in mean values for a numeric response field.

The Variance Inflation Factor (VIF) tool produces a coefficient summary report.