Cross-Validation

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Glossary

Validação Cruzada

A validação cruzada é um método estatístico utilizado para avaliar e comparar modelos de aprendizado de máquina, particionando os dados em conjuntos de treino e validação várias vezes, garantindo que os modelos generalizem bem para dados não vistos e ajudando a prevenir overfitting.

AI Machine Learning Model Evaluation +2
• 6 min read

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