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The number of iterations with no improvement is a hyperparameter. Scikit-learn has a default value of 10 in the MLPClassifier but of course you can select one depending on your problem. You can also do a grid search over all your model's hyperparameters.
Another advice I would give is that you could first train the model experimentally for a lot of epochs. ...
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There's no general answer. In this field, you'll just have to try multiple approaches and see how well they work. We usually won't know what will work best until we try it.
I can suggest three candidate approaches:
Get more data.
Use a pre-trained model and fine-tune it. You can use any state-of-the-art model, pick a version that was pre-trained on ...
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You should clearly talk to your supervisor or advisor about this, however there are some general principles you are often overlooked by students when doing their final year projects in computing disciplines.
Firstly you should be clear what plagiarism really is and fully understand it. Plagiarism is presenting someone else's work as your own to gain credit ...
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I would like to make two points clear as a researcher:
Mathematics is a very broad discipline. When you're on bachelor level it is still appropriate to call it "Mathematics" but already in Masters, you'll need to specialize! Youll have to choose a branch and then you won't be "a mathematician" you'll be Statistician, a topologist, graph ...
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The notation stands for the maximum value of $-I_{\phi}(t;x) + \lambda I_{\phi,\theta}(t;y)$, where the maximum is taken over $\phi,\theta$. The result will be a function of $t,\lambda,x,y$.
Often in such a notation, the possible values of the variables being maximized over is restricted, and sometimes this forms part of the notation (say, $\max_{0 \leq \phi,...
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