Useful tips for everyday
How do you test for significant trends? One way to measure the importance of the trend, we calculated the R2 value which measures the fraction…
How to calculate are _ GLMM² for generalized mixed models? R_GLMM² can be calculated also for fixed-effect models. In the simpliest case of OLS it…
How is gradient vector calculated in a neural network? The gradient vector calculation in a deep neural network is not trivial at all. It’s usually…
What is the role of Bayes law in determining uncertainty? Bayes’ theorem is also known as Bayes’ rule, Bayes’ law, or Bayesian reasoning, which determines…
What is total variation distance used for? In probability theory, the total variation distance is a distance measure for probability distributions. It is an example…
Which is the best model for cross validation? From Fig 6. the best is model after performing cross-validation is Model 3 with an error rate…
When can you not use stratified sampling? Stratified random sampling allows researchers to obtain a sample population that best represents the entire population being studied…
What is XGBoost feature importance? Xgboost is a gradient boosting library. It provides parallel boosting trees algorithm that can solve Machine Learning tasks. Feature Importance…
Can we run multiple testing at the same time? Running multiple A/B tests at the same time can theoretically lead to interferences that result in…
When should you exclude outliers? If the outlier in question is: A measurement error or data entry error, correct the error if possible. If you…