A scatter plot that visually maps different ML algorithms based on two key criteria: algorithm complexity and interpretability. Source: Cipriano et al., 2025. (IMAGE)
Caption
A scatter plot that visually maps different ML algorithms based on two key criteria: algorithm complexity (ranging from simpler, classical models to more complex deep learning architectures) and interpretability (how supervised or unsupervised the model is, as supervised models tend to be more interpretable because their structure is guided, while unsupervised models often lack this transparency, making their results harder to explain). Source: Cipriano et al., 2025
Credit
Cipriano et al., 2025
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Credit must be given to the creator.
License
CC BY