Useful tips for everyday
What does statistically insignificant results mean? In general, a lack of statistical significance says that with a given confidence level, the data we have and…
Which regression is used to predict a binary outcome of an event? binary logistic regression Binomial or binary logistic regression deals with situations in which…
When to use a mixed effects model? Mixed effects models are useful when we have data with more than one source of random variability. For…
How to correct data imbalance in SVM using LIBSVM? The two most popular approaches are: Use different misclassification penalties per class, this basically means changing…
Why autoencoders can be useful in creative practice? Autoencoders are a creative application of deep learning to unsupervised problems; an important answer to the quickly…
How is dimensionality reduction different from feature selection? While both methods are used for reducing the number of features in a dataset, there is an…
When can you not use central limit theorem? The central limit theorem applies to almost all types of probability distributions, but there are exceptions. For…
What is risk calculation formula? Risk can be defined as the combination of the probability of an event occurring and the consequences if that event…
What is a factor effect? The factor effect is the difference A of the. two sums, divided by the number of ‘+’ (or ‘-7 signs…
What is partial multicollinearity? Partial regression coefficients may have sign and/or magnitude changes as they pass from sample to sample. Multicollinearity makes it difficult to…