204.4.9 Model-Bias Variance Tradeoff
Link to the previous post : https://course.dvanalyticsmds.com/204-4-8-problem-of-under-fitting/ Model Bias and Variance Over fitting Low Bias with High Variance Low training …
Read More
204.4.8 Problem of Under-fitting
Link to the previous post: https://course.dvanalyticsmds.com/204-4-7-problem-of-overfitting/ The Problem of Under-fitting Simple models are better. It’s true but is that always …
Read More
204.4.6 Type of Datasets, Type of Errors and Problem of Overfitting
Link to the previous post : https://course.dvanalyticsmds.com/204-4-5-what-is-a-best-model/ Different Type of Datasets and Errors The Training Error The accuracy of our …
Read More
204.4.4 ROC and AUC
Link to the previous post : https://course.dvanalyticsmds.com/204-4-3-more-on-sensitivity-and-specificity/ ROC Curve If we consider all the possible threshold values and the corresponding …
Read More
204.4.3 More on Sensitivity and Specificity
Link to the previous post : https://course.dvanalyticsmds.com/204-4-2-calculating-sensitivity-and-specificity-in-python/ In this post we will cover a bit more on Sensitivity and Specificity. We …
Read More
203.4.7 Cross Validation
Choosing Optimal Model In previous section, we studied about Model-Bias Variance Tradeoff Unfortunately there is no scientific method of choosing …
Read More
