There are 20 patients with acute lymphoblastic leukemia (ALL) and 32 patients with acute myeloid leukemia (AML), both variants of a blood cancer. The makeup of the groups as follows: Each individual…

There are 20 patients with acute lymphoblastic leukemia (ALL) and 32 patients with acute myeloid leukemia (AML), both variants of a blood cancer. The makeup of the groups as follows:

Each individual has an expression value for each of 10000 different genes. The expression value for each gene is a continuous value between -1 and 1. You want to use the data from the 52 patients in the scenario to improve the ability of doctors being able to distinguish between ALL and AML. What type of data science problem is this?