Summary: Logistic regression produces coefficients that are the log odds. Take e raised to the log odds to get the coefficients in odds. Odds have an exponential growth rather than a linear growth for every one unit increase. A two unit increase in x results in a squared increase from the odds coefficient. To get […]| Learn by Marketing
Summary: The simplest way of of getting a data.frame to a transaction is by reading it from a csv into R. An alternative is to convert it to a logical matrix and coerce it into a transaction object. I occasionally use the arules package to do some light association rule mining. The biggest frustration has […]| Learn by Marketing
Summary: The foreach package provides parallel operations for many packages (including randomForest). Packages like gbm and caret have parallelization built into their functions. Other tools like bigmemory and ff solve handling large datasets with memory management. [table nl=”|”] Package, Purpose, Benefits foreach, Workhorse of parallel processing in R. Uses %dopar% to parallelize tasks and returns […]| Learn by Marketing