#statstab #321 You Just Said Something Wrong About Logistic Regression by @Phdemetri

Thoughts: Odd, probabilities, and risk ratios. Coefficients in logistic regression are only one of these.

#logisticregression #oddsratio #riskratio #probability #odds #regression

https://dpananos.github.io/posts/2024-02-06-logit/

Linking Inca Terraces With Landslide Occurrence In The Ticsani Valley, Peru
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https://doi.org/10.3390/geosciences14110315 <-- shared paper
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[takes me back to my engineering geology days in the Southern Hemisphere, including my thesis – with a healthy dose of spatial analysis and modeling – and all with a specific use; what is not to like?]
#GIS #spatial #mapping #landslides #massmovement #Inca #Andes #irrigation #terraces #Peru #SouthAmerica #confusionmatrix #logisticregression #geohazards #spatialanalysis #spatiotemporal #terracing #water #hydrology #surfaceflow #geomechanical #geotechnical #Ticsani #algorithm #processes #geostatistics #river #slope #agriculture #farming #soils #geology #risk #hazard #publicsafety #fem #model #modeling #rainfall #precipitation #permeability #groundwater #subsurfaceflow #instability #fluvial #erosion

Müssen es immer rechenintensive #deeplearning Modelle sein oder reichen für manche Anwendungsfälle auch leichtgewichtigere Alternativen, wie #xgboost, #catboost, #lightgbm oder gar klassische Methoden wie #SVMs und #logisticregression?

Auf der #M3 Konferenz in #Köln (vom 23.04.2025 bis zum 25.04.2024) werde ich diese Frage im Rahmen eines Vortrags diskutieren. Mehr Informationen unter: https://www.m3-konferenz.de/veranstaltung-21724-0-good-enough-for-biomedical-signals--wenn-klassische-ml-verfahren-besser-sind-als-neuronale-netze.html

Today’s online lecture of my #BigData class is on using #PySpark for machine learning using Spark #ML and #dataframes for #classification and #regression. Explaining pipelines.#MachineLearning #orms #python #DataScience #dataanalytics #jupyter #notebook #logisticregression #orms

Paper alert:
"Maximizing the forecasting skill of an ensemble model"
https://academic.oup.com/gji/article/234/1/73/6994524
#doi: 10.1093/gji/ggad020

An #ensemble model combines a set of (#probabilistic) #forecasts. To obtain model weights that maximize its skill, we use multivariate #LogisticRegression. This ensemble strategy is superior to weighting forecasts equally or according to their individual skill – as demonstrated for operational #earthquake #forecasting in Italy (15 years of data).

Comparing Linear and Logistic Regression.

Discussion on an entry level data science interview question.

(by Devesh Rajadhyax | Nov, 2022 | Towards Data Science)

https://towardsdatascience.com/comparing-linear-and-logistic-regression-11a3e1812212

#statistics #research #data #datascience #dataanalytics #linreg #logreg #linearregression #logisticregression #dataresearch #sociology #psychology @sociology

Today’s online Zoom lecture of my #BigData class is on using #PySpark for machine learning using Spark #ML and #dataframes for #classification and #regression. #MachineLearning #orms #python #DataScience #dataanalytics #jupyter #notebook #randomforest #logisticregression #apachespark