All Questions
Tagged with hyperparametergridsearchcv
6 questions
0votes
0answers
577views
Hyper tuning reduce the accuracy score, why?
I have performed hyper tuning grid CV search on KNN model. The actual accuracy score for my KNN was accuracy of 42.31 % without performing hyper tuning. However, after performing hyper tuning, the ...
2votes
2answers
587views
Faster grid search with small dataset to derive best params instead of full dataset?
I have a dataset of 300 000 rows and an ensemble model, which include grid search to find the best params of every algorithm. Unfortunately the grid search needs to long and I have problems to ...
- 329
3votes
1answer
31views
Do i need to use hyperparamters from Gridsearch to train on WHOLE training set to get final model?
I just want to make sure i am on the right lines so please correct me if wrong. I am testing which hyperparmets are best for logisitic regession on my data X, y where X is featrues and y is target. X, ...
- 546
5votes
1answer
105views
Search for hyperparameters whith different features using Random Forest
I have a dataset in which I would like to perform a classification model, so I have decided to use Random Forest. The number of features that I have is approximately 200 and I would like to test which ...
- 227
0votes
1answer
2kviews
How to choose the model parameters (RandomizedSearchCV, .GridSearchCV) or manually
Faced with the task of selecting parameters for the lightgbm model, the question accordingly arises, what is the best way to select them? I used the RandomizedSearchCV method, within 10 hours the ...
- 121
1vote
1answer
30views
A doubt about the GridSearchCV function in Sklearn?
When creating different hyperparameter combinations, does the function evaluate combination 1 on the same fold as combination 2? As in, are the folds the same across combinations? I understand that ...
- 11
