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Predciting Low Birth Weight Prediction with Random Forest in R [message #29914]

Thu, 22 August 2024 01:46

Muhammad Naeem
Messages: 1
Registered: August 2024

Member

Hi everyone,

I'm working with PDHS(2017-2018) data from the Pakistan Demographic Health Survey and have a variable indicating low birth weight, which I've categorized as follows:

0: Normal weight (2500 grams or above)
1: Low birth weight (<2500 grams)
In my dataset, the proportions are:

Normal weight: 80%
Low birth weight: 20%
I am using a Random Forest classifier in R to predict low birth weight. However, the model is producing very few correct predictions for the low birth weight category (1).

Given this class imbalance, what strategies or adjustments can I make to improve the model's performance for the minority class? Any advice or suggestions would be greatly appreciated!

Thank you!

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[Message index]

		Predciting Low Birth Weight Prediction with Random Forest in R By: Muhammad Naeem on Thu, 22 August 2024 01:46
		Re: Predciting Low Birth Weight Prediction with Random Forest in R By: Janet-DHS on Tue, 27 August 2024 14:17

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