Testing Your Model with Real Data – CAP Curve & Predictions скачать в хорошем качестве

Testing Your Model with Real Data – CAP Curve & Predictions

🎓 Full Course HERE 👉: https://sds.courses/ai-az How accurate is your predictive model? In this video, we take a hands-on approach to testing our model using real-world data. We’ll apply the model to a test dataset, analyze predictions, and prepare for the next step—evaluating model performance using the CAP curve. Course Link HERE: https://sds.courses/ai-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 to Testing the Model 00:36 - Preparing the Test Dataset in Excel 01:20 - Adding Test Data to the Training Set 01:53 - Running Predictions in Gretl 02:41 - Creating Dummy Variables for Gender & Geography 03:32 - Building & Running the Model with New Data 04:06 - Forecasting Predictions for Test Data 04:37 - How Well Did the Model Predict Outcomes? 05:09 - Exporting & Structuring Test Results 06:06 - Analyzing Predictions in Excel 06:51 - Matching Predicted Probabilities with Actual Outcomes 07:24 - Preparing Data for CAP Curve Analysis You’ll learn how to: Prepare test data for predictive modeling Use Gretl for forecasting and segmentation Analyze probability predictions vs. actual results Export and structure test results for CAP curve analysis Compare model accuracy on train vs. test data 📢 Hashtags: #datascience #MachineLearning #CAPCurve #PredictiveModeling #MarketingAnalytics #AI #BusinessGrowth #CustomerSegmentation #SalesOptimization #BigData #DeepLearning #BusinessIntelligence #Forecasting #DataVisualization #Gretl