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. Binary Classification

                                                                                Binary Classification

                                                                                Creates a model that predicts whether given data is classified as one of two groups when binary classification is specified as the prediction type.

                                                                                For example, the “Churn Prediction” tutorial involves binary classification of whether customers fall into “(a) Withdrawal” or “(b) Continuation”.

                                                                                Related pages

                                                                                • What is a Dataset?
                                                                                • Accuracy Evaluation
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