Analytics Scoring Guide

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  • Welcome
  • Introduction
    • Analytics Scoring
    • Analytics Scoring Components
  • Analytics Scoring Stages
    • Binning Lookup
      • Introduction to Binning Lookup
      • Defining Binning Properties
      • Binning Output
    • Java Model Scoring
      • Introduction to Model Scoring
      • Defining Model Properties
      • Configuring Model Output
    • PMML Model Scoring
      • Introduction to PMML Model Scoring
      • Deploying a Model
      • Reconfigure PMML Model Scoring Settings
      • Output
      • Supported Model Formats
        • QMML
          • Miner Model
        • PMML
          • Association Rule
          • Clustering
          • Classification Tree
          • Regression Tree
          • Naive Bayes
          • Regression
          • Regression Classifier
          • Scorecard
    • Read from Miner Dataset
      • Introduction to the Read from Miner Dataset
      • Reading from a Miner Dataset
      • Fields Tab
      • Output
    • Write to Miner Dataset
      • Introduction to the Write to Miner Dataset
      • Writing to a Miner Dataset
      • Applying Metadata
      • Fields Tab
      • Output
  • Machine Learning Model Management
    • Accessing Machine Learning Model Management
    • Model Assessment
      • Introduction to Model Assessment
      • Model Assessment Operations
      • Model Assessment tab
        • K-Means Clustering Details
        • Logistic Regression Details
        • Linear Regression Details
        • Random Forest Regression Details
        • Random Forest Classification Details—Binomial
        • Random Forest Classification Details—Multinomial
        • Principal Component Analysis Details
  • Analytics Scoring Repository
    • Introduction to Spectrum Analytics Scoring Repository
    • View Models
    • View Model Details
    • Add a Model in a Web Browser Client
    • Add a Model via Spectrum Miner Spectrum Connector
    • Delete a Model