Useful tips for everyday
How do I train my SSD model? We recommend using examples/ssd…. Following the original instructions to compile SSD. Make sure that you can run it…
How are precision and recall used to evaluate classifiers? Precision and Recall are metrics to evaluate a machine learning classifier. Accuracy can be misleading e.g.…
How is dropout regularization used in neural networks? Dropout is a regularization technique for neural network models proposed by Srivastava, et al. in their 2014…
Can cluster sampling be combined with stratified sampling? Cluster sampling can be combined with stratified sampling, because a population can be divided in L strata…
Can I use multiple t tests? Every time you conduct a t-test there is a chance that you will make a Type I error. By…
What does precisely estimated mean? “Precisely estimated” means that we are confident about its size. What does level of precision mean? Precision refers to how…
What does a negative constant mean in a regression? Depending on your dependent/outcome variable, a negative value for your constant/intercept should not be a cause…
Which is the polynomial of the lag operator? Lag Operator Polynomial of Coefficients. Define the lag operator L such that Liyt = yt–i. An m…
What is r2 coefficient of determination? The coefficient of determination, R2, is used to analyze how differences in one variable can be explained by a…
How do you test for serial autocorrelation? You can test for autocorrelation with: A plot of residuals. Plot et against t and look for clusters…