How To Measure Performance? - The Friendly Statistician скачать в хорошем качестве

How To Measure Performance? - The Friendly Statistician

How To Measure Performance? In this informative video, we will guide you through the essential concepts of measuring performance in logistic regression models. Understanding how to assess these models is vital for making accurate predictions and informed decisions. We will cover various metrics that help you evaluate the effectiveness of your model, such as accuracy, precision, and recall. You'll learn about the confusion matrix and how it can help visualize your model's performance, along with the Receiver Operating Characteristic curve, which provides a graphical representation of your model's ability to distinguish between outcomes. Additionally, we will discuss the Akaike Information Criterion, a useful statistic for comparing different models, and explain the importance of deviance in evaluating model fit. Calibration curves will also be highlighted as a means to ensure the reliability of the predicted probabilities generated by your model. Lastly, we will introduce cross-validation techniques that allow you to test your model's performance on unseen data. Join us as we break down these concepts into manageable pieces, making it easier for you to apply them in your own work. Subscribe to our channel for more helpful discussions and practical tips on measurement and data analysis. ⬇️ Subscribe to our channel for more valuable insights. 🔗Subscribe: https://www.youtube.com/@TheFriendlyS... #LogisticRegression #ModelPerformance #DataScience #StatisticalMethods #PredictiveModeling #MachineLearning #DataAnalysis #ModelEvaluation #Accuracy #Precision #Recall #ConfusionMatrix #ROCcurve #AIC #CrossValidation #CalibrationCurves About Us: Welcome to The Friendly Statistician, your go-to hub for all things measurement and data! Whether you're a budding data analyst, a seasoned statistician, or just curious about the world of numbers, our channel is designed to make statistics accessible and engaging for everyone.