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. Unique Value

                                                                                Unique Value

                                                                                Unique value indicates how many values exist when the values of a variable are collected without duplication.

                                                                                Take the Automated labeling of customer feedback tutorial data as an example. “Complaint Type”, the variable to be predicted for the dataset used in this tutorial, contains 6 values:

                                                                                • “(a) Nothing in particular”

                                                                                • “(b) Scratches on the product”

                                                                                • “(c) Battery”

                                                                                • “(d) Instructions”

                                                                                • “(e) Disappointment”

                                                                                • “(f) More than one complaint”

                                                                                  In this case, the number of unique values for “Complaint Type” is 6, as shown below.

                                                                                1 Unique Value

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