Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Residuals vs. Cost Functions: Key Differences in Machine Learning EvaluationWhen it comes to evaluating machine learning models, two key concepts stand out: residuals and cost functions. These terms play a crucial role in determining how well our model predicts outcomes. In this blog post, we will explore these concepts in d...residuals
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Understanding Error Metrics in Regression: MSE, MAE, and RMSEWhen building predictive models, especially in regression tasks, evaluating their performance is crucial. This is where error metrics come into play. In this blog post, we will explore three common error metrics: Mean Squared Error (MSE), Mean Absolu...root mean square error
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Aug 5, 2024Understanding Model Diagnostics in Machine Learning: A Comprehensive GuideIn machine learning, building a model is just one part of the process. Ensuring that the model performs well and diagnosing potential issues are equally important. Model diagnostics help in understanding how well the model is performing and identifyi...20 likes·71 readsMachine Learningmodel diagnostics
