Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

BackgroundThe performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to determine an optimal sample size that maximizes performance while accounting for...

Full description

Saved in:

Bibliographic Details
Main Authors:	Scott Silvey, Jinze Liu
Format:	Article
Language:	English
Published:	JMIR Publications 2024-12-01
Series:	Journal of Medical Internet Research
Online Access:	https://www.jmir.org/2024/1/e60231
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation
by: Jonindo Pasaribu, et al.
Published: (2024-01-01)

Iterative Application of UMAP-Based Algorithms for Fully Synthetic Healthcare Tabular Data Generation
by: Carla Lázaro, et al.
Published: (2024-12-01)

DataFrames.jl: Flexible and Fast Tabular Data in Julia
by: Milan Bouchet-Valat, et al.
Published: (2023-09-01)

Tabular Data Models for Predicting Art Auction Results
by: Patryk Mauer, et al.
Published: (2024-11-01)

Eleven quick tips for properly handling tabular data.
by: Marla I Hertz, et al.
Published: (2024-11-01)

Do atmospheric rivers trigger tabular iceberg calving?
by: Tristan Scott Rendfrey, et al.
Published: (2025-01-01)

More Efficient Manual Review of Automatically Transcribed Tabular Data
by: Bjørn-Richard Pedersen, et al.
Published: (2024-04-01)

Enhanced analysis of tabular data through Multi-representation DeepInsight
by: Alok Sharma, et al.
Published: (2024-06-01)

GAN-Based Novel Approach for Generating Synthetic Medical Tabular Data
by: Rashid Nasimov, et al.
Published: (2024-12-01)

A tabular data generation framework guided by downstream tasks optimization
by: Fengwei Jia, et al.
Published: (2024-07-01)

Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space
by: Simone Piaggesi, et al.
Published: (2024-01-01)

Efficient anomaly detection in tabular cybersecurity data using large language models
by: Xiaoyong Zhao, et al.
Published: (2025-01-01)

Optimizing Imbalanced Data Classification: Under Sampling Algorithm Strategy with Classification Combination
by: Nauval Dwi Primadya, et al.
Published: (2024-11-01)

Research on Fine-Tuning Optimization Strategies for Large Language Models in Tabular Data Processing
by: Xiaoyong Zhao, et al.
Published: (2024-11-01)

SynC2S: An Efficient Method for Synthesizing Tabular Data With a Learnable Pre-Processing
by: Jiwoo Kim, et al.
Published: (2025-01-01)

Sharing is CAIRing: Characterizing principles and assessing properties of universal privacy evaluation for synthetic tabular data
by: Tobias Hyrup, et al.
Published: (2024-12-01)

A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data.
by: Małgorzata Przybyła-Kasperek, et al.
Published: (2024-01-01)

A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data
by: Małgorzata Przybyła-Kasperek, et al.
Published: (2024-01-01)

A Tabular Method for Dynamic Oracles in Transition-Based Parsing
by: Yoav Goldberg, et al.
Published: (2021-03-01)

Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method
by: Zhixin Guo, et al.
Published: (2025-02-01)

Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size.
by: Valter Cesar de Souza, et al.
Published: (2024-01-01)

Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
by: Wuying Liu, et al.
Published: (2014-01-01)

A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data
by: Rafael Rivera-Lopez, et al.
Published: (2024-01-01)

The Use of Digital Lab and Tabular Editor Excel When Solving Experimental Problems in Physics
by: A. Vasilevich, et al.
Published: (2015-12-01)

Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study
by: Kanthida Kusonmano, et al.
Published: (2012-01-01)

Is My Model Using the Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning
by: Vivek Gupta, et al.
Published: (2023-02-01)

Application of the ESRI Geostatistical Analyst for Determining the Adequacy and Sample Size Requirements of Ozone Distribution Models in the Carpathian and Sierra Nevada Mountains
by: Witold Fraczek, et al.
Published: (2001-01-01)

Comparative analysis of the performance of selected machine learning algorithms depending on the size of the training sample
by: Kupidura Przemysław, et al.
Published: (2024-12-01)

Research on medical small sample data classification based on SMOTE and gcForest
by: Wenchang LIU, et al.
Published: (2023-06-01)

Exploring the relationship between data sample size and traffic flow prediction accuracy
by: Jianhu Zheng, et al.
Published: (2024-12-01)

Variable size sampling to support high uniformity confidence in sensor data streams
by: Hajin Kim, et al.
Published: (2018-04-01)

Orientalism and the British Picture Postcard Industry: Popularizing the Empire in Victorian and Edwardian Homes
by: Gilles Teulié
Published: (2019-06-01)

Decision Tree Classification Model for Popularity Forecast of Chinese Colleges
by: Xiangxiang Zeng, et al.
Published: (2014-01-01)

An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority Over-Sampling Technique Algorithms
by: Xianzhang Zeng, et al.
Published: (2024-12-01)

An oversampling FCM-KSMOTE algorithm for imbalanced data classification
by: Hongfang Zhou, et al.
Published: (2024-12-01)

Big data classification method of non relational distributed submission information under differentiated requirements
by: Lu HAN, et al.
Published: (2023-06-01)

Parallelization of the Bison Algorithm Applied to Data Classification
by: Simone A. Ludwig, et al.
Published: (2024-11-01)

Using Machine Learning to Predict Wine Quality and Prices: A Demonstrative Case Using a Large Tabular Database
by: Diogo Oliveira Moreira, et al.
Published: (2024-01-01)

PRACTICAL METHODS OF SELECTION AND CALCULATION OF SAMPLE SIZE FOR AUDIT SAMPLING
by: Sandra TEODORESCU, et al.
Published: (2019-05-01)

Requirements Analysis of Data Center Network Routing Algorithm Based on SDN Architecture
by: Zifu Fan, et al.
Published: (2015-02-01)