I have been working on creating a multi-class classification model for medical data. I have 1881 samples, 2562 features each, and 6 classes total. My distribution of classes is as follows:
{1: 83, 2: 1021, 4: 169, 5: 229, 6: 288, 3: 91}
Can someone tell me how this dataset will impact my model's performance? I have done some research that this could lead to problems with dimensionality however I would appreciate some clarification on if that is the subject here and how I would fix it.
I am still relatively new to working with AI models so absolutely any help is greatly appreciated, let me know if you require any more information.