[en] Predictive

[en] Use the DataRobot Predict tool to score data using predictive models generated by DataRobot.

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

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

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

[en] Uploads data to the DataRobot machine learning platform that creates predictive models.

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

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

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

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

[en] Produces a cumulative captured response chart and an incremental response rate chart.

[en] Creates a model estimating values, or relationships between variables.

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

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

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

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

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

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

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

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

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

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

[en] A popular set of supervised learning algorithms.

[en] The Survival Analysis tool implements common methods of survival analysis.

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

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

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