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Thanks, could you please provide me the reference?
Useful tips!
Can you guys give us an example of neural networks interpretability as you said "Moderately easy"?
Neural Network
LR could getting both very complicated mathematically and computing intensive when multiple inputing mutations are tested/tuned. DT comes with a very poor interpretability unless it's a pruned tree.
i would go with random forest , but as mentioned , it depends on the dataset and your requirements.
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