[HTML][HTML] Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)

MK Hasan, MA Alam, S Roy, A Dutta, MT Jawad… - Informatics in Medicine …, 2021 - Elsevier
Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …

Machine learning in predictive toxicology: recent applications and future directions for classification models

MWH Wang, JM Goodman… - Chemical research in …, 2020 - ACS Publications
In recent times, machine learning has become increasingly prominent in predictive
toxicology as it has shifted from in vivo studies toward in silico studies. Currently, in vitro …

Diabetes prediction using ensembling of different machine learning classifiers

MK Hasan, MA Alam, D Das, E Hossain… - IEEE Access, 2020 - ieeexplore.ieee.org
Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level
of sugar in the blood over a long period. The risk factor and severity of diabetes can be …

Predicting academic performance of students using a hybrid data mining approach

BK Francis, SS Babu - Journal of medical systems, 2019 - Springer
Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …

Performance evaluation of Botnet DDoS attack detection using machine learning

TA Tuan, HV Long, LH Son, R Kumar… - Evolutionary …, 2020 - Springer
Botnet is regarded as one of the most sophisticated vulnerability threats nowadays. A large
portion of network traffic is dominated by Botnets. Botnets are conglomeration of trade PCs …

A survey on hybrid feature selection methods in microarray gene expression data for cancer classification

N Almugren, H Alshamlan - IEEE access, 2019 - ieeexplore.ieee.org
The emergence of DNA Microarray technology has enabled researchers to analyze the
expression level of thousands of genes simultaneously. The Microarray data analysis is the …

A LightGBM-based landslide susceptibility model considering the uncertainty of non-landslide samples

D Sun, X Wu, H Wen, Q Gu - Geomatics, Natural Hazards and Risk, 2023 - Taylor & Francis
The quality of samples is crucial in constructing a data-driven landslide susceptibility model.
This article aims to construct a data-driven landslide susceptibility model that takes into …

Naïve Bayes classifier models for predicting the colon cancer

N Salmi, Z Rustam - IOP conference series: materials science and …, 2019 - iopscience.iop.org
Cancer has been known as a disease consisting of several different types. Cancer is a life
threatening disease in the world today. There are so many types of cancer in the world, one …

Sentiment analysis of YouTube movie trailer comments using naïve bayes

R Novendri, AS Callista, DN Pratama… - Bulletin of Computer …, 2020 - bcsee.org
Netflix has produced many TV series, one of which is Money Heist. This series has four
seasons with a total of 38 episodes. The fourth season was released on April 3, 2020, which …

Analisis Sentimen Kebijakan Kampus Merdeka Menggunakan Naive Bayes dan Pembobotan TF-IDF Berdasarkan Komentar pada Youtube

DF Zhafira, B Rahayudi, I Indriati - Jurnal Sistem Informasi, Teknologi …, 2021 - just-si.ub.ac.id
Abstrak Kebijakan Kampus Merdeka merupakan salah satu kebijakan baru yang digagas
oleh Menteri Pendidikan dan Kebudayaan Republik Indonesia (Mendikbud RI). Kebijakan …