Heart diseases or the cardiovascular diseases are the main reasons for a large number of
deaths in the world today. Heart disease affects the functioning of blood vessels and can …

In the last decade, there has been an admirable improvement in the classification accuracy
of various machine learning techniques used for disease diagnosis. This even aids in …

It is critical to select the model that best fits the situation while analyzing the data. Many
scholars on classification and regression issues have offered ensemble techniques on …

Real-time predictions are always important for accurate and systematic thinking in planning
future processes. The failure in the availability of current machine learning approaches is a …

Bankruptcy analysis is needed to anticipate bankruptcy. Errors in predicting bankruptcy often
cause bankruptcy. Machine learning with high accuracy to analyze reversal must …

With the expanding development of Deep Learning techniques Medical Image Analysis
have become an active field of research. Medical Image Analysis typically refers to the …

ABSTRACT The Sub-Saharan countries are leading in dropout rates in secondary schools
by 37.5% followed by South Asia 15.5% and Middle East 11% in 2018. In Tanzania, student …

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 …

This study focuses on comparing the different supervised machine learning classifiers such
as Logistic Regression, Naïve Bayes, Support Vector Machine, K-Nearest Neighbour …

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 …