Z is a summer intern working on spam classification in your company. The dataset consists of 10 million non-spam emails (class 0) and 10 thousand spam emails (class 1). Z considers the following steps of conducting experiments: Step 1: Shuffle the dataset and split it into the train, validation, and test sets.
Step 2: Train logistic regression models on the train set with different hyper-parameters.
Step 3: Identify the best hyper-parameter using the validation set and report the results on the test set in accuracy.

Do you agree with the above experimental setup? If No, what is the major issue? Provide your suggestions in one or two sentences.