[PDF][PDF] Is decision tree obsolete in its original form? A burning debate
Accepted: 21 January 2022 Decision trees are one of the oldest and most used (successful)
machine learning algorithms. Over the years various modifications of decision tree have …
machine learning algorithms. Over the years various modifications of decision tree have …
[PDF][PDF] An application of logistic model tree (LMT) algorithm to ameliorate Prediction accuracy of meteorological data
Traditional and ensemble methods are linear models which are considered the most
popular techniques for various learning tasks for the prediction of both nominal and …
popular techniques for various learning tasks for the prediction of both nominal and …
Comparative role of acetaminophen, carbon tetrachloride and thioacetamide in development of fibrosis in rats
S Singh, SK Nirala, M Bhadauria - Toxicology Research, 2024 - academic.oup.com
Background Several hepatotoxicants such as acetaminophen, carbon tetrachloride, and
thioacetamide are repeatedly used to develop hepatic fibrosis to mimic the histological and …
thioacetamide are repeatedly used to develop hepatic fibrosis to mimic the histological and …
[PDF][PDF] An adaptive gradient boosting model for the prediction of rainfall using ID3 as a base estimator
Accepted: 4 April 2022 While analyzing the data, it is crucial to choose the model that best
matches the circumstance. Many experts in the field of classification and regression have …
matches the circumstance. Many experts in the field of classification and regression have …
Weighted hard and soft voting ensemble machine learning classifiers: Application to anaemia diagnosis
OO Awe, GO Opateye, CAG Johnson, OT Tayo… - … Statistical and Data …, 2024 - Springer
Anaemia is one of the deadliest incurable diseases globally, and its incidence continues to
rise. Early identification of the disease helps to fight it; however, blood tests can be …
rise. Early identification of the disease helps to fight it; however, blood tests can be …
[PDF][PDF] A novel ensemble deep learning model for coronary heart disease prediction
Accepted: 18 October 2022 In the last decade, heart diseases have become the leading
cause of deaths in the world. Various risk factors associated with heart disease include age …
cause of deaths in the world. Various risk factors associated with heart disease include age …
Big Data in Academia: A Proposed Framework for Improving Students Performance.
IR Banday, M Zaman, SMK Quadri… - Revue d' …, 2022 - search.ebscohost.com
The way people learn has radically changed as a result of information technology. As an
informal method of learning, fragmented learning has become a popular way to learn new …
informal method of learning, fragmented learning has become a popular way to learn new …
[PDF][PDF] Hard voting meta classifier for disease diagnosis using mean decrease in impurity for tree models
Artificial Intelligence (AI) is rapidly transforming our world. With time it has spread into many
business areas [1-3] and is originating in medical field too with the increase in the …
business areas [1-3] and is originating in medical field too with the increase in the …
Lysine-Rich Polypeptide Modulates Forkhead Box O3 and Phosphoinositide 3-Kinase-Protein Kinase B Pathway To Induce Apoptosis in Breast Cancer
S Dhandapani, HS Choi, H Chung… - ACS Pharmacology & …, 2024 - ACS Publications
The PI3K/AKT/FOXO3 pathway is one of the most frequently involved signaling pathways in
cancer, including breast cancer. Therefore, we synthesized a novel lysine-rich polypeptide …
cancer, including breast cancer. Therefore, we synthesized a novel lysine-rich polypeptide …
[PDF][PDF] How M5 Model Trees (M5-MT) on continuous data are used in rainfall prediction: An experimental evaluation
Accepted: 4 June 2022 When using machine learning to predict a class with a continuous
numeric value, there are several issues. Only a few machine-learning approaches are …
numeric value, there are several issues. Only a few machine-learning approaches are …