59 - What is Random Forest classifier?
Ғылым және технология
There are many machine learning classifiers that have been developed over years for various purposes. While deep learning is slowly replacing these traditional classifiers, Random Forest still beats deep learning for applications with limited training data. Microscope image segmentation is one such application where users often work with limited training data. This tutorial provides a quick introduction to Random Forest - no coding!
The code from this video is available at: github.com/bnsreenu/python_fo...
Пікірлер: 18
Awesome info
Thank you for your good explanations and experience based valuable suggestions. You claimed that Random Forest based segmentation is better than that of SVM. Do you have a chance to test XGBoost? If no then I strongly suggest it.
@DigitalSreeni
3 жыл бұрын
Yes, I did experiment with a few boosting techniques including XGBoost. It is a good approach but the accuracy depends on hyperparameters. I thought I recorded a video on this topic but apparently I haven't. Thanks for the suggestion, I am sure the viewers of this channel would like to know more about it.
dear sir .. number of decison tree are equal to number of input features ?
Is it necessary to create a bootstrap dataset?
Your videos is very good one. Thanks very much man. Do you give the permission to use your exemples and code to recorde a Portuguese videos?
@DigitalSreeni
3 жыл бұрын
If you want to add Portuguese voice over please let me know. I guess, it can help some users.
@AgriculturaDigital
3 жыл бұрын
Python for Microscopists by Sreeni . No no...The idea is record my own video. Just use your code exemples.
great video!
@DigitalSreeni
2 жыл бұрын
Thanks
Dear. I do appreciate your lecturing style. I have two questions- "How to measure the performance of Random Forest?". What metrics are used to compare it to other algorithms?
@idrisseahamadiabdallah7669
9 ай бұрын
I think that because RandomForest is a classification algorithm so classification metrics such as accuracy, roc&auc , confusion metrics can be used to assess the model.
How do we know the pixel value?
Can this be applied to HeLa Cell segmentation?
@DigitalSreeni
Жыл бұрын
Yes. The exact application doesn't matter.
Sir. How to measure its performance?
@idrisseahamadiabdallah7669
9 ай бұрын
I think that because RandomForest is a classification algorithm so classification metrics such as accuracy, roc&auc , confusion metrics can be used to assess the model.
so i have watched your videos from 1 upto thus far, you have not shown how to LABEL the image