Clustering Cross Validation Deep Learning K-nearest Neighbors 
Mlearning.ai
MAY 23, 2023
There are majorly two categories of sampling techniques based on the usage of statistics, they are: Probability Sampling techniques: Clustered sampling, Simple random sampling, and Stratified sampling. The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance.
AWS Machine Learning Blog
FEBRUARY 10, 2023
Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. We perform a five-fold cross-validation to select the best model during training, and perform hyperparameter optimization to select the best settings on multiple model architecture and training parameters.
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