One AI Recipes make creating a predictive model as easy as choosing the outcome you want to predict and answering a series of questions.
One AI Recipes were created to bridge the gap between the way data is modeled for a people analytics platform and the way it is modeled for machine learning. They make creating a predictive model from your people data as easy as choosing the outcome you want to predict and answering a series of questions about the data you would like to leverage to make the predictions. The end result is a predictive model based on robust, clean, and properly structured data. This result is achieved without having to engage a Data Engineer or a Data Scientist.
Video Overview of One AI Recipes
Steps to Use a One AI Recipe to Create a Predictive Model
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Select One AI from the top navigation bar
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Select the + Add Machine Learning Model button
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Give the model a name. Please note that models cannot be re-named once they are saved
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Select the One AI Recipe option from the Using Data From section and Configure One AI Recipe
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Select a recipe from the What are you interested in predicting? dropdown
Note: Until you make selections in a recipe, you can switch between recipes. Once you begin making selections, you can only switch to "Custom / Advanced Model"
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Answer each of the questions using the inline help for guidance if necessary
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Select the Save icon
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Scroll to the bottom of the Augmentation Configuration screen and select Create
Note: Do not forget this step or you will lose all of the selections you made
Available Recipes:
Voluntary Attrition Risk
Description: One AI will help you predict the likelihood of a person in a selected population voluntarily terminating within a selected period of time. In order to do this, One AI will consider a number of attributes and will train the model on the population at a defined point in the past.
Algorithm Type: Classification (Binary)
Objective: Drivers and Predictions
Involuntary Attrition Risk
Description: One AI will help you predict the likelihood of a person in a selected population involuntarily terminating within a selected period of time. In order to do this, One AI will consider a number of attributes and will train the model on the population at a defined point in the past.
Algorithm Type: Classification (Binary)
Objective: Drivers and Predictions
Binary Promotion Analysis
Description: One AI will help you predict the likelihood of a person in a selected population being promoted within a selected period of time. In order to do this, One AI will consider a number of attributes and will train the model on the population at a defined point in the past.
Algorithm Type: Classification (Binary)
Objective: Drivers and Predictions
New Hire Success / Failure
Description: One AI will help you predict the Success or Failure at a specified amount of time after the hire date of employees hired during a specified time period. In order to do this, One AI will consider a number of attributes and will train the model on the hires from a time period prior to the prediction data.
Algorithm Type: Classification (Binary)
Objective: Drivers and Predictions
High Performer
Description: One AI will help you predict whether an employee will be a high performer during a specified amount of time into the future. In order to do this, One AI will consider a number of attributes and will train the model on the population at a defined point in the past.
Algorithm Type: Classification (Binary)
Objective: Drivers and Predictions
Group Attrition Regression
Description: One AI will help you predict the amount of attrition within a selected period of time for groups defined by a dimension level. To make these predictions, One AI will leverage a regression algorithm and will consider a number of generative attributes from a time period prior to the prediction data.
Algorithm Type: Regression
Objective: Drivers and Predictions
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