How to use nature inspired algorithm to tune parameter of RF(random forest) model in R?

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Kindly share your interest and contact details for the above mentioned question...

11 December 2018 6,306 3 View

How below mentioned Journal is?

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Text-Communication from the M1 Hand Area using BCI—and then there is Elon Musk?

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Self-Organizing Superorganisms—as envisaged by Nenad Sestan (2018)?

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Yassine Meraihi

Please read :

https://ieeexplore.ieee.org/document/7813756

Article Hybrid binary PSO and random forests algorithm for network i...

Conference Paper A Hybrid Approach Based on Particle Swarm Optimization and R...

Conference Paper Binary PSO and Random Forests Algorithm for PROBE Attacks De...

Muhammad Ali

I suggest you to follow: https://machinelearningmastery.com/tune-machine-learning-algorithms-in-r/

https://www.analyticsvidhya.com/blog/2015/06/tuning-random-forest-model/

https://arxiv.org/pdf/1904.06960.pdf

Manish Kumar

First decide your objective function and their parameters (or dependencies). After that you can apply any nature inspired algorithm.

Suraj Bhagat

thanks to all

Manish Kumar that's right, how to decide the objective function?, I mean what are the criteria to decide the objective function?