Scientific Research Publishing

McCauley, S. (2012) Applying Multinomial Logistic Regression to Categorize Student Technological Knowledge Based on Technology Usage Attributes. Walden University.

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
Scientific Research Publishing

Li, L., Rysavy, M.A., Bobashev, G. and Das, A. (2024) Comparing Methods for Risk Prediction of Multicategory Outcomes: Dichotomized Logistic Regression Vs. Multinomial Logit ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
Hosted on MSN

Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
GitHub

Multinomial logistic intercepts applied on incorrect scale

It appears the multinomial logistic objective is calculating a base score in the scale of the reponse variable (probabilities) and applying it as-is instead of transforming it to the 'margin' scale.
GitHub

SarahRoWo/Logistic_Regression_Python_MI_Paper

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
IEEE

Improving the Performance of Multinomial Logistic Regression in Vowel Recognition by Determining Best Regression Coefficients

Abstract: The performance of Multinomial Logistic Regression (MLR) is highly dependent on the estimated value of its parameters (Regression Coefficients - RCs). However, the usual maximum likelihood ...