Machine Learning | Hold-Out Classifier Evaluation

The holdout method is the simplest kind of cross-validation. The data set is separated into two sets, called the training set and the testing set. The function approximator fits a function using the training set only. #MachineLearning #HoldOutMethod
Follow me on Instagram 👉 / ngnieredteacher
Visit my Profile 👉 / reng99
Support my work on Patreon 👉 / ranjiraj

[@RanjiRaj18]

For notes👉 github.com/ranjiGT/ML-latex-amendments

[@marlenes6347]

Thank you so much for this short and super well explained video! =)

[@ryoreinaldo2329]

Thank you, May God Bless U🙏🙏🙏

[@Hashmi-AJKTV]

goood

[@codewithsandesh7824]

Why you stopped your RUclips journey 🤔🤔

[@RanjiRaj18]

New videos are coming soon...

[@vivekkumarsahu2637]

Very good informative video👌👌

[@RanjiRaj18]

Thank You and do share this video

[@PradeepGupta-bn1ko]

Sir, what is test data

[@zubairzaki436]

Test data means u test the model with supplying some data to the model and to get accurate output
That data that tests the model is called test data and the model that provides output is done by learning from training data.
The model won't give the answer randomly 5 unless we train it that 2+3 is 5

[@kingyakshredths3994]

sir do you recommend any books that might be helpful......