Model evaluation error metrics
Confusion matrix
NxN matrix, where N is the number of classes for classification.
Secondary memory
NxN matrix, where N is the number of classes for classification.
Activation function is used to determine the output of neural network like yes or no. It maps the resulting values in between 0 to 1 or -1 to 1 etc. (depending upon the function).
XGBoost is an implementation of gradient boosted decision trees designed for speed and performance.
LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages: