Questions tagged [gridsearchcv]
The gridsearchcv tag has no usage guidance.
57
questions
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1answer
18 views
GridSearchCV with custom tune grid
What is the best way to perform custom parameter search CV with the Scikit-learn API? I really like GridSearchCV. However for my case the param_grid parameter is ...
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0answers
22 views
GridSearchCV using pre-defined validation dataset for KerasCNN return Warning about function
I want to use GridSearchCV for search best parameters for my CNN models to detect ECG anomaly. I have two dataframe which defined as train and test datasets, since want to follow previous research, ...
1
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1answer
16 views
Grid Search Pool Classifiers for Dynamic Classifier Selection Ensembles
I would like to grid search pool classifiers hyper parameter of OLA() ( Overall Local Accuracy ) model from deslib python package.
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0
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1answer
28 views
Does GridSearchCV not save the best parameters?
So I tuned the hyperparameters using GridSearchCV, fitted the model to the data, and then used best_params_. I'm just curious ...
1
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1answer
22 views
When using GridSearchCV with regression tree how to interpret mean_test_score?
I am using GridSearchCV to tune hyperparameters of regression decision tree. When I do, I get mean_test_score but I thought it would return mean MSE since it is a regressor. how to interpret ...
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1answer
75 views
How to refit GridSearchCV on Multiclass problem
I'm trying to use GridSearchCV for my Multiclass problem. For starters, wanted to test it on KNeighborsClassifier.
First, here's the code where I define the function which uses GridSearchCV:
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0
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1answer
29 views
GridSearchCV Acting Weird
I am using GridSearchCV to find the best combination of parameters for SVM. However, the parameters chosen by GridSeasrchCV do not seem to be the best ones. I tried some parameters randomly and they ...
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0answers
29 views
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 ...
0
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1answer
39 views
RandomizedSearchCV() not scoring all fits
I'm experiencing an issue with a RandomizedSearchCV grid that is not able to evaluate all of the fits. 50 of the 100 fits I'm calling do not get scored (score=nan), so I'm worried I'm wasting a bunch ...
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2answers
183 views
Error in using sklearn's GridSearchCV on Word2Vec
I am using the sklearn_api of gensim to create an estimator for a Word2vec model to pass it to sklearn's gridsearch . My code is as follows :
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2
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2answers
62 views
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 ...
0
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2answers
59 views
i'm using GridSearchCV to find parameter C for SVC() classifier present in sklearn.svm . I'm not getting the optimal result desired
this is a screenshot of my code. i used abc.best_estimator_ (my GridSearchCV model) to find out best results. As you can see grid has values of C=1 and C=100 along with other values. abc....
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100 views
Getting unexpected keyword error in CatBoostRegressor while using GridSearchCV
I am trying to use GridSearchCV on a CatBoostRegressor algorithm, but get some "unexpected keyword" errors on 3 different params (classes_count, auto_class_weights, and bayesian_matrix_reg) ...
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2answers
51 views
What's the difference between GridSearchCrossValidation score and score on testset?
I'm doing classification using python. I'm using the class GridSearchCV, this class has the attribute best_score_ defined as "Mean cross-validated score of the best_estimator".
With this ...
0
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2answers
51 views
Getting lower performance metrics when using GridSearchCV
I have defined an XGBoost model and would like to tune some of its hyperparameters.
I am using GridSearchCV to find the best params. However, I also tried to fit the model on the entire training ...
1
vote
2answers
94 views
How to compute AUC in gridsearchSV (multiclass problem)
I'm working on a multiclass classification problem, comparing results from SVM and Random Forest classificators. I would like to use gridsearchCV for hyperparameters tuning and find that AUC is the ...
2
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1answer
474 views
How is the GridsearchCV Score calculated?
How is the score of GridsearchCV calculated? Is the score a percentage? Does this mean higher is a better?
3
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1answer
18 views
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, ...
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0answers
49 views
EarlyStopping in GridSearch - how to get the mean epoch after which training stopped?
is there a way to get the mean number of epochs when training stopped by EarlyStopping in GridSearch?
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1answer
2k views
Feature Importance from GridSearchCV
I created a GridSearchCV for a Random Forest Regressor. Now I want to check the feature importance. I searched around and I found this:
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5
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1answer
60 views
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 ...
1
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2answers
42 views
How many trees does a Random Forest need?
At first, I did a GridsearchCV and the best parameter I found was 100, i.e., a random forest with just 100 trees. My trainset has 80,000 rows and 669 columns. My test set has 20,000 rows and 669 ...
4
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2answers
194 views
Is it alright to split a GridSearchCV?
Is it ok to split a GridsearchCV?
At first, I would try estimators from 100-300 (100 steps) for a random forest regressor and some other parameters and after that, I would start the GridsearchCV with ...
2
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1answer
42 views
Why does my GridSearchCV always break up?
GridSearchCV for my Random Forest breaks up. I need to know the reason and the solution to make it work:
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2
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2answers
125 views
How to plot number of Trees and OOBs score with Grid Search
I searched to find the answer but I donĀ“t find something with Grid Search.
I create a random forest and gradient boosting regressor with grid search. Now I want to make a visualization to see if the ...
2
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1answer
245 views
Can we apply to GridSearchCV to Logistic regression .?
When I apply GridSearchCV to my model Logistic Regression, it's continuously throwing below error.
I understand that it's trying to convert string to float. But that's was my data. So how can I ...
4
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1answer
956 views
Is GridSearchCV in combination with ImageDataGenerator possible and recommendable?
I want to optimize some hyperparameters for a CNN architecture by using GridSearchCV (Scikit-Learn) in combination with Data Augmentation (ImageDataGenerator from Keras).
However, GridSearchCV only ...
1
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1answer
45 views
Which combination of 3 hyperparameters to combat overfitting of a convolutional neural network?
I have a small dataset with which I want to train a CNN by using Data Augmentation. Since the CNN is overfitting due to the small data set, I would like to optimize some hyperparameters.
However, ...
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0answers
272 views
Why do I have leakage while using Stratified Group K Fold?
I have the following case:
Training data in the form of x, y coordinates on different frames (from a video). Based on this I computed some features, using only the training data and labels. A model is ...
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3answers
3k views
How to combine GridSearchCV with Early Stopping?
I'm a beginner in machine learning and want to train a CNN (for image recognition) with optimized hyperparameter like dropout rate, learning rate and number of epochs.
The optimal hyperparameter I ...
1
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1answer
53 views
How to choose a model for this cross-validation curve?
I'm using GridSearchCV to tune hyperparameters for a Logistic Regression multiclass model.
I read on Kaggle that you should choose the hyperparameter that results in the lowest discrepancy between ...
0
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1answer
87 views
What to do after GridSearchCV()?
I happily created my first NN and performed hyperparameter optimization through GridSearchCV. I just don't know what to do next.
Do I have to fit it again with the ...
1
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2answers
703 views
Which scoring for GridSearchCV is best, when imbalanced multiclass dataset?
I have an unbalanced multiclass dataset (GTSRB) and want to optimize the hyperparameters of an SVM through GridSearchCV.
I know that accuracy is not suitable for scoring in this case.
Which evaluation ...
1
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1answer
44 views
How to print accuracy in each fold of Validation Dataset? and assign fold number to each row in the dataframe?
How to print the accuracy in each fold of a Validation Dataset ? And how can I assign the fold number to each row in the dataframe?
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1answer
839 views
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 ...
0
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1answer
53 views
CNN for subsets of a dataset - how to tune hyperparameters
I have a dataset and would like to train CNNs on subsets of different size of the dataset.
I already have a CNN, which classifies very well if I use the entire dataset.
Now the question arises if I ...
0
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1answer
419 views
sklearn.model_selection: GridSearchCV vs. KFold
Here is the explain of cv parameter in the sklearn.model_selection.GridSearchCV:
cv : int, cross-validation generator or an iterable, optional
Determines the cross-validation splitting strategy. ...
1
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1answer
96 views
Track underlying observation when using GridSearchCV and make_scorer
I'm doing a GridSearchCV, and I've defined a custom function (called custom_scorer below) to optimize for. So the setup is like this:
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2
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1answer
165 views
SVM - Shuffle image data before GridSearchCV or not?
I have different image datasets, most of them are sorted by class, others are already mixed.
For each of these data sets, I would like to train one SVM (in Python with Scikit-Learn), whereby in each ...
4
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1answer
463 views
How to cache GridSearchCV optimizer result in Google Colab?
I have to execute GridSearchCV() cell every time I reload the page and it takes a lot of time. Is there a caching mechanism which stores the GridSearchCV result so ...
1
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1answer
366 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
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1answer
16 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 ...
1
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1answer
4k 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 ...
2
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2answers
2k 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. ...
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1answer
584 views
2
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1answer
1k 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
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2answers
947 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 ?
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5
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1answer
2k 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:
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2
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1answer
5k 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
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4answers
1k 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:
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