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This script contains an implementation of a Multinomial Logistic Regression model for text classification. The model is written from scratch without use of sklearn or similar libraries. Testing of the ...
Hallucination Detection Using Logistic Regression This project aims to detect hallucinations in text by classifying summaries as either factual or hallucinated using a logistic regression model ...
In the present medical era, Electrocardiography has been used to record heart activities for the basic visualization of various cardiac diseases. ECG signal properties analysis for effective ...
Abstract: Multinomial logistic regression (MLR) has been widely used in the field of face recognition, text classification, and so on. However, the standard multinomial logistic regression has not yet ...
The Multinomial Naïve Bayes model is particularly well-suited for text classification tasks where features are based on word counts or frequencies—exactly the case with our data set.
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 ...