Task: classify prevalent colors of the input images. Training dataset consists of examples with the following labels: $("$red$",$ "blue", "green", "green", "blue"$).$ Test dataset consists of examples with the following labels: $("$green$",$ "blue", "red", "red", "blue"$).$ We trained some model, and its output predictions for the test set are: $("$red$",$ "blue", "red", "green", "blue"$).$ Assuming that the order of objects is fixed $($when we tested the algorithm$),$ what is the mean classification error of our algorithm?