Batch machine learning repeatedly reads all training data multiple times, e.g., via stochastic gradient descent, which uses records multiple times in random order, or via elaborate optimisation procedures  ...  In those experiments, which were based on data from the 1994 US-census with around 32,000 individual data records, the first phase tested four different classifiers (gradient boosting, linear SVC, logistic  ...