Trash or treasure — how to tell if a classification algorithm is any good

In this installment of the series, we review some common measures and considerations when assessing the effectiveness and value of a classification algorithm.

Decision makers need more math

Decision makers in the year 2020 will be facing many more data driven documents and charts than they did 10 or 20 years prior. But are those decision makers any better equipped to make accurate decisions in such a data rich environment?