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  • Prediction Studio Help
    • Getting started
      • Prediction Studio overview
      • Setting up your environment
        • Setting access to Prediction Studio
        • Changing your workspace
        • Selecting a database for Prediction Studio records
        • Configuring the default rule context
        • Enabling outcome inferencing
        • Configuring the model transparency policy for predictive models
      • Applying sample projects and models in Prediction Studio
      • Clearing deleted models in Prediction Studio
    • Developing and managing models
      • Adaptive analytics
        • Creating an adaptive model
          • Adding adaptive model predictors
            • Adding a predictor to an adaptive model
            • Adding multiple predictors to an adaptive model
            • Adding parameterized predictors
            • Enabling predefined Interaction History predictors for existing adaptive models
          • Defining outcome values in an adaptive model
          • Configuring Adaptive Model settings
        • Adaptive models monitoring
          • Viewing summarized adaptive model reports
          • Generating and downloading a model report
          • Viewing a model report
            • Model report details
            • Predictor report details
          • Viewing the predictors overview
            • Predictor performance information
      • Predictive analytics
        • Types of predictive models
        • Importing a predictive model from a PMML file
        • Creating a predictive model
          • Editing settings for a predictive model
            • Outcome definition settings
            • Sample construction settings
            • Data analysis settings
            • Predictor grouping settings
            • Genetic algorithm settings
            • Score distribution settings
          • Preparing data
            • Selecting a data source
            • Constructing a sample
            • Defining an outcome
              • Defining the outcome field for scoring and extended scoring models
                • Defining a previous decision
              • Defining the outcome field for spectrum models
              • Virtual fields
                • Adding virtual fields
                • Modifying a virtual field
                • Deleting a virtual field
          • Analyzing data
            • Defining the predictor role
            • Analyzing and configuring predictors
              • Raw distribution
              • Binning options for predictors
                • Managing binning options for numeric predictors
                • Managing binning options for symbolic predictors
              • Grouping options for predictors
                • Auto grouping option for predictors
                • Managing grouping options for numeric predictors manually
                • Managing grouping options for symbolic predictors manually
            • Outcome inferencing
              • Checking distribution of accepts
              • Constructing an inference sample
              • Checking similarity based inference
              • Checking inference tuning
              • Comparing inference results
              • Performing final data analysis
            • Generating data analysis reports
          • Developing models
            • Grouping predictors
            • Creating models
              • Computation models
                • Creating a regression model
                • Creating a decision tree model
                • Creating a bivariate model
                • Creating a genetic algorithm model
              • Benchmark models
              • Sensitivity of models
          • Analyzing models
            • Comparing scores generated by models
            • Checking score distribution
            • Comparing the classification of scores generated by models
          • Selecting a model for deployment
        • Creating a custom template for creating a predictive model
        • Importing a project
        • Exporting a project
        • Categories for creating predictive models
      • Text analytics
        • Creating categorization models
          • Creating machine-learning topic detection models
            • Setting up a topic detection model
            • Preparing data for topic detection
            • Uploading data for training and testing of the topic detection model
            • Defining the training and testing samples for topic detection
            • Creating the topic detection model
            • Reviewing the topic detection model
            • Saving the topic detection model
          • Creating keyword-based topic detection models
            • Creating rules for keyword-based topic detection models
            • Defining a taxonomy
          • Creating machine-learning sentiment analysis models
            • Setting up a sentiment analysis model
            • Preparing data for sentiment analysis
            • Uploading data for training and testing of the sentiment analysis model
            • Defining the training set and training the sentiment analysis model
            • Reviewing the sentiment analysis model
            • Saving the sentiment analysis model
          • Creating machine-learning intent analysis models
            • Setting up an intent detection model
            • Preparing data for intent detection
            • Uploading data for training and testing
            • Defining training and testing samples, and building the intent detection model
            • Accessing intent analysis model evaluation reports
            • Saving the intent detection model
        • Creating text extraction models
          • Creating machine-learning text extraction models
            • Setting up a text extraction model
            • Preparing data for text extraction
            • Defining the training set and training the text extraction model
            • Accessing text extraction model evaluation reports
            • Saving the text extraction model
          • Creating keyword-based text extraction models
          • Creating pattern extraction models
        • Managing text analytics models
          • Managing incomplete text analytics models
          • Managing built text analytics models
            • Testing text analytics models
        • Sentiment lexicons
        • Text analytics accuracy measures
    • Managing data
      • Creating data sets
      • Creating summaries
      • Accessing text analytics resources
2019-03-28