Training Data Vs Test Data Vs Validation Data| Krish Naik
github for materials and notes: github.com/krishnaik06/Machin...
Training set: A set of examples used for learning, that is to fit the parameters of the classifier.
Validation set: A set of examples used to tune the parameters of a classifier, for example to choose the number of hidden units in a neural network.
Test set: A set of examples used only to assess the performance of a fully-specified classifier.
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Пікірлер: 37
Perfectly explained sir understood very well
Beautifully explained sir...
Perfectly explained sir understood very well Thanks a lot sir
Thanks for the such an informative video 👏👏
Thank you Clearly explained as always ! Is it possible to implement an example of cross validation and hyper parameter tuning on python pls? 🙏
Outstanding sir
Thank you for making this piece of sweet pie ❤️🌹
خوش رہو بہت اعلیٰ کام کر رہے ہیں ۔
sir thanks for creating the videos sir kindly guide which book to refer for making the notes
Superb ❤
excellent
Krish bro... U should provide simple code of this all video too
Thank you sir 💖💖💖💖💖
Hello sir i m 12 Ai frst tym i watched ur video and frst tym understood concept plz make more videos of 12 syllabus cbse
if test data is used for accuracy , then which accuracy is shown by the cross validation method ?
ROC AUC explanation also pls
Please upload English videos. It is very helpful
sir, could you please share some notes so that we can revice all the bulletin points.
thank you sir, I'm enrolled in upgrad Data Science program and not satisfied with it as the content is not much special like yours.
Sir also make a video on data warehouse data lakes
I just gave the 1000th like. :P
What is hyperparameter?
@9:52 why you divide for cross velidation= 5
Hi krish Please let me know what is x_train ,y_train and x_test ,y_test and how this process works on the data set including the mathematical equation I have a lot of confusion on this. Please make a separate video on this Both languages of English and Hindi
This was cross-validation. How hyperparameter tuning is done?
you are the best person to explain any topic .Thanx🥰
But very helpful
Why hyperparameter tuning is done after training the model ? Shouldn’t it be done before traning the model , and then train the model based on those parameters ?
@fran9426
Жыл бұрын
You do both. Once you have done hyperparameter tuning you can then train the final model with the tunes values on all the training data
Sir you are great Akshay Kumar is not Boss You are the BOSS
kafi kya bahut jyda acha tha
Hukum ka ekka BOSS
6400
Didn't liked it !