#RandomForests

Fabrizio Musacchiopixeltracker@sigmoid.social
2023-09-14
Predictions by the trained random forest classifier overlayed on the original image in Napari.Screenshot of Napari showing the original image and my annotations on the label layer.
Fabrizio Musacchiopixeltracker@sigmoid.social
2023-09-13

Ever wondered how #DecisionTrees and #RandomForests ๐ŸŒณ๐ŸŒณ are related? Here is a quick #tutorial that compares both methods in terms of #classification and #regression โœŒ๏ธ

๐ŸŒŽ fabriziomusacchio.com/blog/202

#DecisionTree #RandomForest #MachineLearning

Actual values vs. predicted values for the decision tree (blue dots) and random forest (red dots) regressors for a sample data set.
Marcin Paprzyckimarcinpaprzycki@masto.ai
2023-01-07

A novel method for #posthoctesting: โ€œA short note on post-hoc testing using #randomforests algorithm: Principles, asymptotic Time complexity analysis, and beyondโ€ by L. ล tฤ›pรกnek, F. Habarta, I. Mala, L. Marek.
@FedCSIS
2022, ACSIS Vol. 30 p. 489โ€“497; tinyurl.com/yytek6up

Gerald Leppert, PhD :verified:gerald_leppert@bonn.social
2020-04-19

@askans

In my opinion, #R is very suitable for #MachineLearning. With R, machine learning can be easily integrated into usual #rstats data analysis workflows. #RPackages provide access to virtually all relevant machine learning algorithms like #NeuralNetworks, Support Vector machines (#SVM), #RandomForests, Extreme Gradient Boosting (#XGBoost), #WEKA algorithms, etc.

Does anyone of the @rstats group have further recommendations?

See reply for sources: 4 books on machine learning.

Theun Karelsetheun
2018-09-04

trying to capture questions in metaphor:
- will the Amazon algorithm (corporation) learn to appreciate the Amazon river?
- and what if this actually determines the fate of the Amazon basin?
- will Amazon just sew the river if we give it rights as a legal person?

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst