This paper presents a gender classification model based on face features using logistic regression and K-Nearest Neighbors (KNN) classifier. The dataset contained long hair, forehead breadth, nose ...

Scientists show that the frequency of a set of words seems to have increased in published study abstracts since ChatGPT was released into the world.

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 ...

Machine learning models analyze complex patterns within medical datasets, enabling precise prediction and classification of diseases like CHD [14]- [18]. This study explores the application of three ...

PriyankaTaug / Sentiment-Classification-using-Logistic-Regression-in-python Public Notifications Fork 0 Star Security ...

Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random forest yielded the highest accuracy of 96%, making them useful for obtaining ...

Binary classification with Neural Network based on Logistic Regression - opgan/logisticregressionrust ...