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What is Cross Validation in Machine Learning

Cross validation machine learning technique is very useful for evaluating the effectiveness of your model mainly when you need to mitigate over-fitting. However, it is also used in determining the hyper parameters of your model, in terms of finding that which parameters will give results in lowest test error. It is one of the most widely used and effective technique of machine learning model validation used by the machine learning engineers worldwide to create a fully functional AI model with best level of accuracy for flawless results.

Cogito is providing human-backed ML validation service to check the accuracy of models in unbiased manner at affordable pricing. It is specialized in validating the models developed for different fields like AI-enabled CCTV cameras to capture the people and other moving objects on the computer or authenticating the facial recognition annotations used into various fields to detect the human faces and authenticate the facial attributes in right manner. Continue Reading...

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