Logistic Regression outperforms MLPClassifier
In ML, all algorithms are useful depending on the dataset. Its naive to generalize an algorithm to be always better than the other.

In your case since you have only 90 examples, mlpclassifier couldn’t have trained proper as compared to logreg.

A general suggestion: if you post like rows of your dataset along with accuracy of the two algorithms, it would have been a bit easier to discuss why there were differences.