AI dictionary · Machine learning
What is Cross validation?Cross validation kya hai?
Also called: K fold
Cross validation: Rotating which part of the data is used for validation to get a more reliable score.Validation ke liye data ka hissa baari baari badal kar zyaada bharosemand score paana.
🧸 Think of it likeAise samjho
Like taking five different mock tests instead of one, so a single lucky or unlucky paper doesn't fool you.Ek ki jagah paanch alag mock tests dena, taaki ek lucky ya unlucky paper aapko dhokha na de.
📘 ExplainedVistaar se
In k fold cross validation, training data is split into k parts; the model trains on k minus 1 and validates on the remaining one, k times, and the scores are averaged. It's useful for small datasets and tuning. Use time based splits for time series, and group splits when one person has many rows.K fold cross validation mein training data k hisson mein baanta jaata hai; model k minus 1 pe train aur bache hue pe validate hota hai, k baar, aur scores ka average liya jaata hai. Chhote datasets aur tuning ke liye kaam ka. Time series ke liye time based splits, aur jab ek insaan ki kai rows hon to group splits.
💡 Real exampleAsli example
5 fold cross validation gives scores 81, 84, 79, 83, 82; average 81.8.5 fold cross validation se scores 81, 84, 79, 83, 82; average 81.8.
📖 Learn it step by stepStep by step seekho
🔗 Related termsJude hue shabd
Questions people ask
What is Cross validation?
Rotating which part of the data is used for validation to get a more reliable score. In k fold cross validation, training data is split into k parts; the model trains on k minus 1 and validates on the remaining one, k times, and the scores are averaged. It's useful for small datasets and tuning. Use time based splits for time series, and group splits when one person has many rows.
How can I understand Cross validation in simple words?
Like taking five different mock tests instead of one, so a single lucky or unlucky paper doesn't fool you.
What is an example of Cross validation?
5 fold cross validation gives scores 81, 84, 79, 83, 82; average 81.8.
Cross validation ka matlab kya hai?
Validation ke liye data ka hissa baari baari badal kar zyaada bharosemand score paana. Ek ki jagah paanch alag mock tests dena, taaki ek lucky ya unlucky paper aapko dhokha na de.
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