Gradient Boost for Regression Part 1 Leave a reply Welcome to your Gradient Boost for Regression Part I The algorithm for gradient boost for regression begins withcalculating the variance of the variable we want to predicta leaf that is the average value of the variable we want to predicta tree to that has the number of leaf nodes we specify (usually between 8 and 32 leaves)Which of the following is true for gradient boosted trees?All trees are scaled by the same amountTrees with greater error are given a smaller weight, while trees with less error are given a larger weightWhich of the following is true for gradient boosted trees?The trees predict the target variableThe trees predict the pseudo residualPlease fill in the comment box below. Time is Up! Time's up
