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DataRobot Predict Tool
Use the DataRobot Predict tool to score data using predictive models generated by DataRobot.
Boosted Model Tool
Boosted Model creates generalized boosted regression models based on Gradient Boosting methods.
Count Regression Tool
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.
DataRobot Automodel Tool
Uploads data to the DataRobot machine learning platform that creates predictive models.
Decision Tree Tool
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.
Forest Model Tool
Creates a model that constructs a set of decision tree models to predict a target variable.
Gamma Regression Tool
Relates a gamma distributed, strictly positive variable of interest to one or more variables.
Lift Chart Tool
Produces a cumulative captured response chart and an incremental response rate chart.
Linear Regression Tool
Creates a model estimating values, or relationships between variables.
Logistic Regression Tool
Creates a model that relates a target binary variable to one or more predictor variables.
Model Coefficients Tool
The Model Coefficients tool creates a table of model coefficient names and values.
Model Comparison Tool
The Model Comparison tool compares the performance of one or more different predictive models.
Naive Bayes Classifier Tool
Creates a probabilistic classification model of a set of predictor and categorical target variables.
Nested Test Tool
Examines whether models are equivalent in terms of their predictive capabilities.
Network Analysis Tool
Generates an interactive dashboard of a network, to explore relationships between the various nodes.
Neural Network Tool
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.
Spline Model Tool
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.
Support Vector Machine Tool
A popular set of supervised learning algorithms.
Survival Analysis Tool
The Survival Analysis tool implements common methods of survival analysis.
Survival Score Tool
The Survival Score tool provides both the estimated relative risk and restricted mean survival time.
Test of Means Tool
Performs a Welch's two sample t-test of the difference in mean values for a numeric response field.
Variance Inflation Factors Tool
The Variance Inflation Factor (VIF) tool produces a coefficient summary report.