MAPE - Mean Absolute Percentage Error | L-08 | Evaluation Metrics | Regression Metrics
https://youtu.be/KGb3pH36INI
Welcome to our channel! In this video, we dive into one of the essential evaluation metrics used in regression analysis: MAPE (Mean Absolute Percentage Error). Join us as we explore how MAPE is calculated, its significance in assessing forecast accuracy, and its applications in various industries. Key Topics Covered: Understanding MAPE (Mean Absolute Percentage Error) Formula for calculating MAPE Why MAPE is important in regression analysis and forecasting Interpretation of MAPE results Real-world examples illustrating the use of MAPE If you're interested in data science, predictive modeling, or improving your forecasting techniques, this video is for you! Stay tuned to learn how MAPE can help you make better decisions based on accurate predictions. Don't forget to subscribe to our channel for more insightful content on data analytics, machine learning, and statistical modeling! Let us know your thoughts in the comments section below. We value your feedback and look forward to engaging with you on this fascinating topic of evaluation metrics. Happy learning! Feedback link: https://maps.app.goo.gl/UBkzhNi7864c9BB1A LinkedIn link for professional queries: https://www.linkedin.com/in/professorrahuljain/ Join my Telegram link for Free PDFs: https://t.me/+xWxqVU1VRRwwMWU9 Connect with me on Facebook: https://www.facebook.com/professorrahuljain/ Watch Videos: Professor Rahul Jain Link: https://www.youtube.com/@professorrahuljain #MAPE #RegressionMetrics #EvaluationMetrics #Forecasting #DataAnalytics #DataScience #PredictiveModeling #Statistics #MachineLearning #AccuracyMetrics #DataAnalysis #YouTubeTutorial #LearnWithData
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