Questions tagged [gridsearchcv]

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3answers
276 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 ...
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1answer
27 views

n_jobs=-1 or n_jobs=1?

I am confused regarding the n_jobs parameter used in some models and for CV. I know it is used for parallel computing, where it includes the number of processors specified in n_jobs parameter. So if I ...
3
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3answers
118 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 ...
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2answers
36 views

Can I run this job quicker for GridSearchCV?

I am using GridSearchCV for optimising my predictions and its been 5 hours now that the process is running. I am running a fairly large dataset and I am afraid I ...
-1
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2answers
39 views

What would be a good n_estimators matrix and thus param_grid for this problem?

I am using GridSearchCV for optimising my predictions I am running a fairly large dataset and I am afraid I have not optimised the parameters enough. ...
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0answers
41 views

Worse performance after Hyperparameter tuning

I first construct a base model (using default parameters) and obtain MAE. ...
0
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1answer
18 views

Different values of mean absolute error when using GridSearchCV for max_leaf_nodes vs manually optimising max_leaf_nodes

I am trying out hyperparameter tuning vs manually selecting the best parameter (max_leaf_nodes) on a decision tree model with mean absolute error as the scoring. In ...
2
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1answer
15 views

My own model trained on the full data is better than the best_estimator I get from GridSearchCV with refit=True?

I am using an XGBoost model to classify some data. I have cv splits (train, val) and a separate test set that I never use until the end. I have used GridSearchCV to determine the best parameters and ...
2
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1answer
23 views

GridSearchCV and time complexity

So, I was learning and trying to implement a GridSearch. I have a question regarding the following code, which I wrote: ...
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1answer
12 views

Specifying parameter grid for regression model

I am working with more than one dataset. So, I have to test my Random Forest Model over 4 datasets. The parameter grid I am taking for dataset D1 is not producing good results for dataset D2 and so on....
0
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1answer
71 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 ...
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1answer
28 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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2answers
160 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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1answer
492 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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2answers
3k 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: ...
1
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1answer
559 views

Why GridSearchCV returns nan?

I am using gridsearchcv to tune the parameters of my model and I also use pipeline and cross-validation. When I run the model to tune the parameter of XGBoost, it returns ...
2
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1answer
10k 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 ...
0
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0answers
14 views

Which Random Forest hyperparameters to tune with Grid Search and which are the best initial hyperparameters values?

I want to use Grid Search for finding optimal hyperpameters for Random Forest. My questions are: Which Random Forest hyperparameters are considered important for tuning? Which initial Random Forest ...
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0answers
15 views

Grid Search using strategy

What is the correct strategy of using Grid Search? Am I understand correctly that to use correctly Grid Search I should: Give Grid Search initial parameters that have wide range. For example if ...
1
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1answer
51 views

Geolocation Based Anomaly Detection in IPs Using Isolation Forest

I'm trying to detect anomalies based on geolocation from IP addresses on a server access log file. I have created two features country and geo_velocity, using the IP address and the timestamp of each ...
6
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3answers
5k 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
59 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, ...
2
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1answer
1k 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?
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0answers
76 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
48 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 ...
10
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2answers
15k views

Parameters in GridSearchCV in scikit-learn

I am trying to build a model in scikit-learn. I used RandomForestClassifier as my method for classification. In order to improve the score and efficiency of my ...
2
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1answer
51 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: ...
4
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2answers
256 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 ...
1
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2answers
56 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 ...
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1answer
101 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
191 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 ...
0
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1answer
33 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 ...
0
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0answers
161 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
211 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 ...
2
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2answers
85 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
361 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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0answers
249 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) ...
2
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1answer
267 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 ...
0
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2answers
223 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
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2answers
423 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
2k 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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1answer
6k 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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1answer
281 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 ...
3
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1answer
19 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, ...
4
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1answer
593 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 ...
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0answers
89 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? ...
5
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1answer
70 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 ...
2
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2answers
161 views

How to plot number of Trees and OOBs score with Grid Search

I searched to find the answer but I don´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 ...