Can't see the trees for the forest : The benefits of using Random Forests analysis method

Mills, Emma (2019) Can't see the trees for the forest : The benefits of using Random Forests analysis method. In: Lancaster University Psychology PhD Conference, 2019-06-28 - 2019-06-28, Lancaster University.

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Abstract

As Psychologists, we are often interested in interaction effects that are small in size. Finding these, however, is a challenge, with even the most advanced statistical methods falling foul of multi collinearity, order effects, singularity and model non-convergence. I share my experience of the Random Forest approach - it allows me to enter all my predictors, co-linear and all, deals with non-normal distributions intuitively and can also assist in variable selection if I ask it to.

Item Type:
Contribution to Conference (Speech)
Journal or Publication Title:
Lancaster University Psychology PhD Conference : Internal annual conference
Subjects:
?? random forestsstatistical analysismethods ??
ID Code:
135549
Deposited By:
Deposited On:
22 Jul 2019 10:25
Refereed?:
No
Published?:
Published
Last Modified:
07 Mar 2024 00:06