Visualizing Model Accuracy with a CAP Curve in Excel скачать в хорошем качестве

Visualizing Model Accuracy with a CAP Curve in Excel

🎓 Full Course HERE 👉: https://sds.courses/ds-az In this tutorial, we validate our churn prediction model using test data and a CAP curve (Cumulative Accuracy Profile) to simulate real-world application performance. You’ll learn how to interpret the CAP curve, compare model results between training and testing phases, and understand what slight performance drops mean. We also discuss how to use this technique to evaluate multiple models and monitor model deterioration over time. Perfect for data science enthusiasts working on classification models. Course Link HERE: https://sds.courses/ds-az You can also find us here: Website: https://www.superdatascience.com/ Facebook:   / superdatascience   Twitter:   / superdatasci   LinkedIn:   / superdatascience   Contact us at: [email protected] 📌 Chapters: 00:00 - Introduction: Running Model on Test Data 00:39 - Clarifying Data Usage in Model Training 01:18 - Setting Up the CAP Curve Template 02:10 - Sorting and Copying Prediction Data 02:47 - Pasting into CAP Curve and Checking Results 03:24 - Interpreting the CAP Curve Performance 04:06 - Comparing Test vs. Training Performance 05:19 - Understanding Ruggedness in the Graph 06:29 - Why Model Performance Drops on Test Data 07:36 - Importance of Proper Sample Selection 08:09 - Model Validation Summary 08:49 - Power of CAP Curve Comparison 09:20 - Comparing Multiple Models Visually 📢 Hashtags: #MachineLearning #DataScience #CAPCurve #ChurnModeling #ModelValidation #Overfitting #PredictiveModeling #TestData #TrainData #ConfusionMatrix #MLinExcel #DataAnalysis #ModelEvaluation #ExcelDataScience #ModelAccuracy