Parametric ML algorithm

Machine learning can be summarized as learning a function (f) that maps input variables (X) to output variables (Y), such as Y = f(x). An algorithm learns this target mapping function from training data. The form of the function is unknown, so our job as machine learning practitioners is to evaluate different machine learning algorithms ... Read more

Precision

In statistics and machine learning, precision is a measure of how often the positives identified by a learning model are true positives. This is a division of true positives (based on the confusion matrix) by all estimated positives (=true positives + false positives). The precision metric is commonly used in conjunction with recall, to evaluate ... Read more