[HTML][HTML] Machine learning for an explainable cost prediction of medical insurance
Predictive modeling in healthcare continues to be an active actuarial research topic as more
insurance companies aim to maximize the potential of Machine Learning (ML) approaches …
insurance companies aim to maximize the potential of Machine Learning (ML) approaches …
[PDF][PDF] Hyperparameter optimization using custom genetic algorithm for classification of benign and malicious traffic on internet of things-23 dataset.
K Thavasimani, NK Srinath - International Journal of Electrical & …, 2022 - researchgate.net
Hyperparameter optimization is one of the main challenges in deep learning despite its
successful exploration in many areas such as image classification, speech recognition …
successful exploration in many areas such as image classification, speech recognition …
Gradient boosting optimized through differential evolution for predicting the testing effort of software projects
Software testing (ST) is one of the most important software development life cycle (SDLC)
phases and ST effort is often expressed as a percentage of SDLC effort. Unfortunately, in the …
phases and ST effort is often expressed as a percentage of SDLC effort. Unfortunately, in the …
[PDF][PDF] Machine Learning with Applications
U Orji, E Ukwandu - researchgate.net
Predictive modeling in healthcare continues to be an active actuarial research topic as more
insurance companies aim to maximize the potential of Machine Learning (ML) approaches …
insurance companies aim to maximize the potential of Machine Learning (ML) approaches …