• No products in the cart.

Model Validation

12

Mar'17

204.4.9 Model-Bias Variance Tradeoff

Link to the previous post : https://statinfer.com/204-4-8-problem-of-under-fitting/ Model Bias and Variance Over fitting Low Bias with High Variance Low training …

Read More

11

Mar'17

204.4.8 Problem of Under-fitting

Link to the previous post: https://statinfer.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

11

Mar'17

204.4.6 Type of Datasets, Type of Errors and Problem of Overfitting

Link to the previous post : https://statinfer.com/204-4-5-what-is-a-best-model/ Different Type of Datasets and Errors The Training Error The accuracy of our …

Read More

10

Mar'17

204.4.4 ROC and AUC

Link to the previous post : https://statinfer.com/204-4-3-more-on-sensitivity-and-specificity/ ROC Curve If we consider all the possible threshold values and the corresponding …

Read More

10

Mar'17

204.4.3 More on Sensitivity and Specificity

Link to the previous post : https://statinfer.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

27

Jan'17

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

Statinfer

Statinfer derived from Statistical inference is a company that focuses on the data science training and R&D.We offer training on Machine Learning, Deep Learning and Artificial Intelligence using tools like R, Python and TensorFlow

Contact Us

We Accept

Our Social Links

How to Become a Data Scientist?

top
© 2020. All Rights Reserved.