WebSep 15, 2024 · 1. n_estimators: This is the number of trees (in general the number of samples on which this algorithm will work then it will aggregate them to give you the final answer) you want to build before taking the maximum voting or averages of predictions. The higher number of trees give you better performance but makes your code slower. WebSep 4, 2024 · 1: Your MLP didn't converge: The algorithm is optimizing by a stepwise convergence to a minimum and in run 1 your minimum wasn't found. 2 Difference of runs: You have some random starting values for your MLP, so you dont get the same results as you see in your data.
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