Keyword:logistic regression

Papers
An Efficient Way of Detecting PCOS Using Machine Learning Prashant Richhariya, Madhuri Nigam, Bharti Bhattad, Anita Soni and Pankaj Richhariya EasyChair Preprint no. 7701
Evaluating the Effectiveness of Machine Learning Methods for Spam Detection Yuliya Kontsewaya, Evgeniy Antonov and Alexey Artamonov EasyChair Preprint no. 6074
Projection of Employee Wages Shirisha Gangarapu, M. Raja Sekar and T. Sunil Kumar EasyChair Preprint no. 5960
Classifying Driver Attention Level Using Logistic Regression and Support Vector Machine Ana Farhat and Ka C Cheok In:CAINE 2020. The 33rd International Conference on Computer Applications in Industry and Engineering
Comparison of Machine Learning Techniques on Twitter Emotions Classification S Santhosh Baboo and M Amirthapriya EasyChair Preprint no. 5518
Deep belief Convolutional Neural Network with Artificial Image Creation by GANs Based Diagnosis of Pneumonia in Radiological Samples of the Pectoralis Major Tathagat Banerjee, Dhruv Batta, Aditya Jain, S Karthikeyan, M Himanshu and Hari Kishan EasyChair Preprint no. 4696
Loan Eligibility Predictor Pallavi Saindane, Anjali Asrani, Ajay Bathani, Kunal Dongare and Sneha Indulkar EasyChair Preprint no. 5455
Credit Card Fraud Detection Model P Srinivas Reddy, Murali Krishna Chigulla, Sai Bhavana Kancharla, Sai Rithin Reddy Kairthabad and Nuthan Yadidya Bashpa EasyChair Preprint no. 5375
Predict Sentiment of Airline Tweets Using ML Models Rana Alqahtani EasyChair Preprint no. 5228
Early Prediction of Parkinson Disease Using Machine Learning and Deep Learning Approaches Harshvardhan Tiwari, Shiji K Shridhar, Preeti V Patil, K R Sinchana and G Aishwarya EasyChair Preprint no. 4889
Optimization of Regularization and Early Stopping to Reduce Overfitting in Recognition of Handwritten Characters Naman Jain EasyChair Preprint no. 4489
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