Logit-transformation (aka as the odds ratio) is a logarithmic transformation which is used to transform proportional values into continues values in ML regression problems. The logit-transformation is defined by the following mathematical formula: logit(p)=log(p/(1-p)).
In machine learning, LOOCV stands for leave-one-out cross validation. Assuming that the dataset of an ML project comprises n examples (rows), we split the dataset into n subsets and perform n iterations of training/testing. In each iteration, n-1 examples are used as training data and only 1 example is used the testing subset. This process ... Read more
LSTM stands for Long Short-Term Memory. LSTM is a type of RNN artificial neural network, which uses a complex formula to implement an architecture of memory cells, which makes decisions about what pieces of historical information (states) to preserve and which to drop.
