Random State in Train Test Split | Machine Learning

Показать описание

This video demonstrates the importance of random state in Train Test Split.

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.

Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.

You can find me on:

#RandomState #TrainTestSplit #machinelearning #ML #DataScience #Python

Рекомендации по теме

Комментарии

Different random_state have different scores in regression as well as in classification models. So how to choose a random_state in which we get higher scores?

sathidevi

Thank you soo much Bhavesh. Searched everywhere, it was here i understood it clearly.

ShreyasSinha

Thank you for the explanation. I was doubtful about the random_state = 42 used in other examples. But now everything makes sense.

dibyarupnath

Thanks for this brief and, to the point ' video.

srishtichanda

Thank You for your clear explanations! keep it up.

BinySD

this video helped me to get why it's used.I was not getting the reason before I watched this.

sekharsamanta

Thanks for the video Bhavesh! Now I understand that setting random_state fixes the split, but how do you understand which number it should be? Why in your video you use 8 or not, say, 1 or 100?

DKrass

Thanks i finally understood y my model predict different results every time i run it. Thanks a lot

spurs

Thank you so much bhavesh. I was so confused why Random state was being used until i saw this video.

vivekmenon

Brilliant Video Sir. Great Explanation

kshitijarunbidari

What will happen if we choose high random state or low random state. I was working on KNN with RS = 40 Acc - 87% when i chnaged to 100 acc changed to 73 % why is this happening ?

gauravrajpal

thank you bhavesh,
Can u explain the logic behind the numbers which defined in random_state.

niteshchaudhary

one doubt: why does it show 7 pairs (not 8, not 6).

Jitendrakumar-dung

Sir i have one doubt why we r using labeled data for testing X_test y_test?

shijiabraham

We can also use random.seed, why randomstate function ?.. what's the difference between two

siddharthtyagi

how we decide to give random_state????

abhishek

Why we are having only those rows with random state 8.means what exactly 8 is doing there to have those same rows every time...

PratikShende

suppose in a model, with a random_state 19, I am getting greater accuracy. So should I stick on to that random state, ie should I deploy the model with that random_state? or should my model perform well with all other random_state?

antonyjoy

How come the random seeds needs to be the same number?

cargouvu

Why do we choose random state as 42 very often during training a machine learning model? why we dont choose 12 or 32 or 5?
***Is there a scientific explanation?***

mehmetarslan

Random State in Train Test Split | Machine Learning

Random State in Train Test Split | Machine Learning

Set a 'random_state' to make your code reproducible

Parameter 'random_state' of 'train_test_split()': What Are Potential Values?

Use of random_state in train_test_split()

What is Random State in Machine Learning?

Why do we split data into train test and validation sets?

Why we use random state in train test split function?

Machine Learning | Cross Validation | Random State in Train Test Split | ML | AI

Machine Learning 32 - Overfitting, Underfitting, Bias-Variance and Random state

What is 'random_state' in train_test_split?

Is random state important for train test split | SkLearn Library | Python | #Shorts

What is Random State and Shuffle? Machine Learning Interview Series

Random state (Pseudo-random number) in Scikit learn

Random State Explained in Hindi | Machine Learning

Train Test Split vs K Fold vs Stratified K fold Cross Validation

What is random_state? Python Machine Learning algorithms all have it

Train Test Split with Python Machine Learning (Scikit-Learn)

Machine Learning Tutorial Python - 7: Training and Testing Data

pembuktian data train dan data testing konsisten menggunakan random state

Complete Guide to Cross Validation

sklearn model selection train test split | random_state | train_size | test_size | sklearn | model_s

Use stratified sampling with train_test_split

Random State in Train Test split | why random state 42 | machine learning in hindi

Should You Stop Splitting Your Data Like This?