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Alteryx advanced certification help
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Module 9
Predictive Modeling: Classification
1
Building a Logistic Regression Model
Build a logistic regression model for binary classification.
2
Interpreting Regression Coefficients & Odds Ratios
Interpret the model coefficient report and understand odds ratios.
3
Predicting Class Probabilities with the Score Tool
Use the Score tool to generate class probabilities.
4
Understanding Confusion Matrices and Model Performance Metrics
Evaluate model performance using a confusion matrix and related metrics (accuracy, precision, recall).
5
Visualizing Model Performance with Lift Charts and ROC Curves
Use the Lift Chart and ROC Curve tools to visualize and compare model performance.
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Predictive Modeling: Linear Regression
Next module
Unsupervised Learning: Customer Segmentation