🌸 Iris Flower Classification – Logistic Regression & EDA This project demonstrates classification of iris flower species using Logistic Regression, along with Exploratory Data Analysis (EDA), a ...

The statistical analysis is based on a multinomial logistic regression model, allowing the identification of factors associated with FCS and HDDS. We found that the HDDS is high (61%) for households ...

This study demonstrates that multinomial logistic regression with a ridge estimator shows significant classification accuracy (p < 0.05) and effectively detects pilot mental workload in real flight ...

On the basis of a multinomial logistic regression analysis, the following factors were confirmed as being significantly associated with ADT combination therapy with ARPI (Table 2): more recent index ...

We used multinomial logistic regression to investigate associations between US National Academy of Medicine (NAM) classifications (inadequate, sufficient and excessive GWG) and BMI, age, country of ...

Multinomial logistic regression analyses revealed that 45% of participants were satisfied with their body size, while 35% of participants believed they were "larger than ideal," and 20% thought ...

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.