- Evaluation of a decided sample size in machine learning applications🔍
- Sample Size Analysis for Machine Learning Clinical Validation Studies🔍
- Real world ML — Determine the Optimal Sample Size🔍
- Sample Size in Machine Learning and Artificial Intelligence🔍
- How to determine or calculate sample size for machine learning ...🔍
- Sample size and predictive performance of machine learning ...🔍
- Is your dataset big enough? Sample size requirements when using ...🔍
- Minimum sample size estimation in Machine Learning🔍
Evaluation of a decided sample size in machine learning applications
Evaluation of a decided sample size in machine learning applications
An appropriate sample size is essential for obtaining a precise and reliable outcome of a study. In machine learning (ML), studies with ...
Evaluation of a decided sample size in machine learning applications
This study aims to design criteria for evaluating sample size in ML studies. We examined the average and grand effect sizes and the performance of five ML ...
Evaluation of a decided sample size in machine learning applications
Abstract Background An appropriate sample size is essential for obtaining a precise and reliable outcome of a study. In machine learning (ML), studies with ...
Sample Size Analysis for Machine Learning Clinical Validation Studies
There is no standard tool for determining sample size estimates for clinical validation studies for machine learning models. Methods: Our open-source method, ...
Real world ML — Determine the Optimal Sample Size - Medium
This observation suggests that a dataset size of around 5,000 samples is likely sufficient for this specific machine learning task. It's ...
Sample Size in Machine Learning and Artificial Intelligence
The lack of sample size determination in reports of machine learning models is a sad state of affairs. However, it also presents an ...
Evaluation of a decided sample size in machine learning applications
Dive into the research topics of 'Evaluation of a decided sample size in machine learning applications'. Together they form a unique fingerprint. Sort by ...
How to determine or calculate sample size for machine learning ...
In practice, the sample size determination is often iterative, involving experimentation, model tuning, and performance evaluation through ...
Sample size and predictive performance of machine learning ...
Recent work by Riley et al has proposed new guidance for sample size calculation based on event rates, number of covariates to consider and the ...
Is your dataset big enough? Sample size requirements when using ...
The minimum sample size for ANN can be determined using the 50 time rule of thumb i.e. 50 times the number of adjustable parameters in the neural network ( ...
Minimum sample size estimation in Machine Learning
Develop an algorithm for the analysis to undertake. This shall be based on [3]. 3. Select which algorithms fit our study, namely, supervised ML ...
planningML: A Sample Size Calculator for Machine Learning ...
Title A Sample Size Calculator for Machine Learning Applications in. Healthcare. Version 1.0.1. Description Advances in automated document classification has ...
Sample Size Analysis for Machine Learning Clinical Validation Studies
2) Specify the required precision and accuracy (≤0.5 normalized confidence interval width and ±5% accuracy). 3) Specify the required coverage ...
Sample-Size Determination Methodologies for Machine Learning in ...
The model was then evaluated on an independent test set. This process was repeated N times for each subsample size Y with replacement in order ...
Predicting sample size required for classification performance
Supervised learning methods need annotated data in order to generate efficient models. Annotated data, however, is a relatively scarce resource ...
Autoencoders for sample size estimation for fully connected neural ...
Sample size estimation is a crucial step in experimental design but is understudied in the context of deep learning.
A practical solution to estimate the sample size required for clinical ...
Estimating the required sample size is crucial when developing and validating clinical prediction models. However, there is no consensus ...
Sample-Size Determination Methodologies for Machine Learning in ...
The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study ...
Machine learning algorithm validation with a limited sample size
Our simulations show that K-fold Cross-Validation (CV) produces strongly biased performance estimates with small sample sizes, and the bias is still evident ...
Sample-Size Determination Methodologies for Machine Learning in ...
Results: A total of 167 articles were identified, of which 22 were included for qualitative analysis. There were only 4 studies that discussed sample-size ...