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Predictive
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DataRobot Predict Tool
Use the DataRobot Predict tool to score data using predictive models generated by DataRobot.
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Boosted Model Tool
Boosted Model creates generalized boosted regression models based on Gradient Boosting methods.
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Count Regression Tool
Creates a model relating non-negative integer value field to fields expected as predictor variables.
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Cross-Validation Tool
Compares the performance of one+ Alteryx-generated predictive models using cross-validation.
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DataRobot Automodel Tool
Uploads data to the DataRobot machine learning platform that creates predictive models.
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Decision Tree Tool
Creates a set of if-then split rules to optimize model creation criteria.
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Deploy Tool
Integrates with Promote, a platform for deploying, managing, and scaling predictive models.
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Forest Model Tool
Creates a model that constructs a set of decision tree models to predict a target variable.
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Gamma Regression Tool
Relates a gamma distributed, strictly positive variable of interest to one or more variables.
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Lift Chart Tool
Produces a cumulative captured response chart and an incremental response rate chart.
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Linear Regression Tool
Creates a model estimating values, or relationships between variables.
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Logistic Regression Tool
Creates a model that relates a target binary variable to one or more predictor variables.
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Model Coefficients Tool
The Model Coefficients tool creates a table of model coefficient names and values.
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Model Comparison Tool
The Model Comparison tool compares the performance of one or more different predictive models.
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Naive Bayes Classifier Tool
Creates a probabilistic classification model of a set of predictor and categorical target variables.
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Nested Test Tool
Examines whether models are equivalent in terms of their predictive capabilities.
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Network Analysis Tool
Generates an interactive dashboard of a network, to explore relationships between the various nodes.
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Neural Network Tool
The Neural Network tool creates a feedforward perceptron neural network model with a single hidden layer.
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Score Tool
Creates an estimate of a variable by applying an R model to a set of supplied predictor variables.
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Spline Model Tool
The Spline Model tool provides the multivariate adaptive regression splines algorithm of Friedman.
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Stepwise Tool
Determines the best predictor variables to include in a model from a set of potential variables.
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Support Vector Machine Tool
A popular set of supervised learning algorithms.
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Survival Analysis Tool
The Survival Analysis tool implements common methods of survival analysis.
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Survival Score Tool
The Survival Score tool provides both the estimated relative risk and restricted mean survival time.
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Test of Means Tool
Performs a Welch's two sample t-test of the difference in mean values for a numeric response field.
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Variance Inflation Factors Tool
The Variance Inflation Factor (VIF) tool produces a coefficient summary report.
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