Easy Predictive Analytics
  • Tutorial
  • TIPS
  • top
  • Description of Terms and Graphs
    • F-score
      • RMSE
        • ROC curve and AUC
          • Ensemble
            • Export/Import
              • Relevance Score
                • Coefficient of Determination
                  • Missing Value
                    • Accuracy Evaluation
                      • Confusion Matrix
                        • Coverage
                          • Cross-validation
                            • Mean Absolute Error
                              • Median Absolute Error
                                • Median Absolute Error Ratio
                                  • Recall
                                    • Advanced Settings
                                      • Information Leakage (Target Leakage, Data Leakage)
                                        • Regression
                                          • Accuracy
                                            • Precision
                                              • Multiclass Classification
                                                • Data Type
                                                  • Imbalanced Data
                                                    • Text Handling
                                                      • Parameter Search
                                                        • Binary Classification
                                                          • Classification
                                                            • Prediction Model Creation (Training)
                                                              • Prediction model creation (training) data
                                                                • String Handling
                                                                  • Use for the Model
                                                                    • Unique Value
                                                                      • Distribution of Prediction
                                                                        • Distribution of Prediction Errors
                                                                          • Prediction Accuracy Level
                                                                            • Prediction Reason / Predictive Contribution
                                                                              • Prediction Value (binary classification)
                                                                                • Predictive Analytics
                                                                                1. Easy Predictive Analytics
                                                                                2. Description of Terms and Graphs
                                                                                3. Prediction Model Creation (Training)

                                                                                Prediction Model Creation (Training)

                                                                                Prediction model creation refers to the process of making it possible to predict the variables to be predicted. Creating a prediction model is also called training or learning.

                                                                                Creating a prediction model requires preparing prediction model creation (training) data. Predictive models use pairs of input information and variables to be predicted to learn what to predict given what information.

                                                                                Related pages

                                                                                • Prediction model creation (training) data
                                                                                • How to create datasets
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