Data Science preguntas y respuestas de entrevista
Question: What is cross-validation, and why is it important?Answer: Cross-validation is a technique used to assess a model's performance by splitting the data into multiple subsets, training the model on some, and evaluating it on the others. It helps estimate how well a model will generalize to new data.Example:
|
Guardar para repaso
Guarda este elemento en marcadores, marcalo como dificil o agregalo a un conjunto de repaso.
Inicia sesion para guardar marcadores, preguntas dificiles y conjuntos de repaso.
Es util? Si No
Lo mas util segun los usuarios:
- What is the primary goal of Data Science?
- What is Data Science?
- Please provide some examples of Data Science.
- Explain the ROC curve and its significance in binary classification.