Questions tagged [gridsearchcv]
The gridsearchcv tag has no usage guidance.
0
votes
1answer
10 views
CNNs - Hyperparameter tuning with different training sizes of the same data set
I would like to compare how much the classification performance (test accuracy) of CNNs changes depending on the size of the data set.
For this I would like to use a data set like MNIST or Fashion ...
1
vote
1answer
11 views
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 ...
0
votes
0answers
31 views
GridSearchCV with MLPRegressor with Scikit learn
I'm trying to apply automatic fine tuning to a MLPRegressor with Scikit learn. After reading around, I decided to use GridSearchCV to choose the most suitable hyperparameters. Before that, I've ...
1
vote
2answers
43 views
Large negative R2 or accuracy scores for random forest with GridSearchCV but not train_test_split
I'm trying to use GridSearchCV from scikit-learn and look at the difference between train/test metrics.
When I do a normal test/train split with RandomForestRegressor, the metrics are comparable. ...
1
vote
1answer
49 views
0
votes
0answers
104 views
XGBOOST (sklearn interface) REGRESSION error
I am trying to run a GRIDSEARCHCV (sklearn) on XGBRegressor. Documentation on the parameter says that if regression, then objective = reg:squarederror.(see https://...
1
vote
2answers
84 views
Grid search model isn't recognized as fitted for Graphviz
I find this really weird, and the code is really straight forward.
What am I doing wrong ?
...
3
votes
1answer
275 views
What is GridSearchCV doing after it finishes evaluating the performance of parameter combinations that takes so long?
I'm running GridSearchCV to tune some parameters. For example:
...
0
votes
0answers
13 views
Does sklearn's gridsearchCV use the same cross validation train/test splits for evaluating each hyperparameter combination?
I couldn't find the answer on any forum in the interwebs so I hunted down the answer myself. Yes; the same train/test splits are used for each parameter combination.
Here Is the relevant sklearn ...
0
votes
0answers
40 views
Time Series Split on unequal number of samples
I am Trying to apply Time Series Split on my data, I have dates consisting of year and months and I want to train my data on monthly interval, using Januray 2005 to train and test. Then January and ...
1
vote
1answer
681 views
How to get mean test scores from GridSearchCV with multiple scorers - scikit-learn
I'm trying to get mean test scores from scikit-learn's GridSearchCV with multiple scorers.
grid.cv_results_ displays lots of ...
4
votes
4answers
205 views
Default parameters for decision trees give better results than parameters optimised using GridsearchCV
I am using Gridsearch for a DecisionTreeClassifier predicting a binary outcome. When I run fit and predict with default parameters, I get the following results:
...
0
votes
1answer
532 views
sklearn.GridSearchCV predict method not providing the best estimate and accuracy score
I was playing around with the credit default dataset in UCI
("https://archive.ics.uci.edu/ml/machine-learning-databases/00350/default%20of%20credit%20card%20clients.xls")
These are the steps i have ...
0
votes
1answer
645 views
Using GridSearchCV and a Random Forest Regressor with the same parameters gives different results
As the huge title says I'm trying to use GridSearchCV to find the best parameters for a Random Forest Regressor and I'm measuring my results with mse.
...
2
votes
1answer
57 views
Overfitted model produces similar AUC on test set, so which model do I go with?
I was trying to compare the effect of running GridSearchCV on a dataset which was oversampled prior and oversampled after the training folds are selected. The oversampling approach I used was random ...
2
votes
1answer
1k views
GridSearchCV results are different to directly applied default model (SVM)
I run a Support Vector Machines model on part of my train set with following result:
...
2
votes
1answer
222 views
Sklearn Pipelines - How to carry over PCA?
I'm developing a pipeline to fit parameters for a gradient boosting classifier while also fitting the optimum number of features in a PCA model. This is the current setup:
...
2
votes
1answer
4k views
How to set class-weight for imbalanced classes in KerasClassifier while it is used inside the GridSearchCV?
Could you please let me know how to set class-weight for imbalanced classes in KerasClassifier while it is used inside the ...
