Keyword:logistic regression

Papers
Machine Learning Algorithms to Predict Potential Dropout in High-Schools Vaibhav Singh Makhloga, Kartikay Raheja, Rishabh Jain and Orijit Bhattacharya EasyChair Preprint no. 3920
Heuristic Approach Towards Covid -19: Big Data Analytics and Classification with Natural Language Procession. Sabyasachi Mohanty, Ritika Sharma, Mohit Saxena and Ankur Saxena EasyChair Preprint no. 3754
Pragmatic Analysis of Classification Techniques based on Hyper-parameter Tuning for Sentiment Analysis Rohan Ahuja, Kunal Vats, Chirag Pahuja, Tanuj Ahuja and Charu Gupta EasyChair Preprint no. 3195
Stress Detection of User using Social Interaction Rachna Agarwal, Rishabh Rathore, Satyam Yadav, Shashank Jain, Vimaljeet Singh and Yash Mishra EasyChair Preprint no. 1948
Prediction of Diabetes Disease Using Data Mining and Deep Learning Techniques Tharak Roopesh, Asadi Srinivasulu and K.S. Kannan EasyChair Preprint no. 1608
Predicting Cancer Disease Using KNN, J48 and Logistic Regression algorithm. Ariful Islam Bhuiyan, Tajul Islam, Taufik Akunjee, Rafiqul Islam and Md. Hashikul Islam EasyChair Preprint no. 1538
Compare of Machine Learning And Deep Learning Approaches for Human Activity Recognition Babak Moradi, Mohammad Aghapour and Afshin Shirbandi EasyChair Preprint no. 1495
GBDT, LR & Deep Learning for Turn-based Strategy Game AI Like Zhang, Hui Pan, Qi Fan, Changqing Ai and Yanqing Jing EasyChair Preprint no. 1053
A Multivariate Latent Class Profile Analysis with Latent Group Jung Wun Lee EasyChair Preprint no. 874
Practical Implementation of Machine Learning and Predictive Analytics in Cellular Network Transactions in Real Time Dahj Muwawa Jean Nestor and Kingsley A. Ogudo EasyChair Preprint no. 683
1,000x Faster than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators Lars Wienbrandt, Jan Christian Kässens, Matthias Hübenthal and David Ellinghaus EasyChair Preprint no. 60