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  • Predict ML
  • Getting Started
  • About Predict
  • Using Predict
  • Best practices
  • Prerequisites
  • Terminology
  • Define a strategy
  • Decide what to predict
  • Attribute readiness
  • Prepare your data
  • Start training
  • Create training models
  • Add a model
  • Review your model
  • Evaluate and retrain models
  • Evaluate trained models
  • Strength scores
  • The Confusion Matrix
  • The ROC/AUC curve
  • Probability distribution
  • View model status
  • Retrain a model
  • Deploy models
  • Deploy a model
  • Undeploy a model
  • Deployed model health
  • Model retraining recommendations
  • Delete a model
  • Create audiences
  • Audience considerations
  • Create audiences with Predict
  • Advanced topics
  • Machine learning vs. artificial intelligence
  • Machine learning concepts and technology
  • Home
  • Predict ML
  • Getting Started
    • About Predict
    • Using Predict
    • Best practices
    • Prerequisites
    • Terminology
  • Define a strategy
    • Decide what to predict
    • Attribute readiness
    • Prepare your data
    • Start training
  • Create training models
    • Add a model
    • Review your model
  • Evaluate and retrain models
    • Evaluate trained models
    • Strength scores
    • The Confusion Matrix
    • The ROC/AUC curve
    • Probability distribution
    • View model status
    • Retrain a model
  • Deploy models
    • Deploy a model
    • Undeploy a model
    • Deployed model health
    • Model retraining recommendations
    • Delete a model
  • Create audiences
    • Audience considerations
    • Create audiences with Predict
  • Advanced topics
    • Machine learning vs. artificial intelligence
    • Machine learning concepts and technology
  • Home

Predict ML

Getting Started

5 pages →

Define a strategy

4 pages →

Create training models

2 pages →

Evaluate and retrain models

7 pages →

Deploy models

5 pages →

Create audiences

2 pages →

Advanced topics

2 pages →
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