Useful tips for everyday
Is pseudo-random deterministic? A pseudorandom bit generator is a deterministic method to produce from a small set of ”random” bits called the seed a larger…
What is rake weighting? Raking. For public opinion surveys, the most prevalent method for weighting is iterative proportional fitting, more commonly referred to as raking.…
What does pairwise correlation do? In summary, using pairwise correlation allows us to detect highly correlated features which bring no new information to the dataset.…
Why is kurtosis of normal distribution 3? The sample kurtosis is correspondingly related to the mean fourth power of a standardized set of sample values…
What does leverage mean in stats? In statistics and in particular in regression analysis, leverage is a measure of how far away the independent variable…
Why is adjusted R-squared lower? Compared to a model with additional input variables, a lower adjusted R-squared indicates that the additional input variables are not…
Which technique is used for dimension reduction? Linear Discriminant Analysis (LDA) LDA is typically used for multi-class classification. It can also be used as a…
Can confusion matrix be used for multiclass classification? Confusion Matrix is used to know the performance of a Machine learning classification. For 2 class ,we…
What two factors affect confidence interval? Factors that Affect Confidence Intervals The confidence interval is based on the margin of error. There are three factors…
What should statistical test for cluster analysis results should? HELP. DEB BTW As Dr Etuk points out if the cluster analysis algorithm makes sense and…