Questions tagged [gridsearchcv]
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Multiple values for a single parameter in the mlflow run command
How to pass multiple values to each parameter in the mlflow run command?
The objective is to pass a dictionary to GridSearchCV as a param_grid to perform cross validation.
In my main code, I retrieve ...
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1answer
36 views
Query regarding surprising spike in accuracy of ML model
I implemented all the major ML models (Logistic Regression, Naive Bayes, SVM, KNN, Decision Tree, Random Forest, Ada Boost & XGBoost) on my dataset. My stratified cross-validation scores are ...
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1answer
25 views
Comparing accuracies of Grid Search CV & Randomized Search CV with K-Fold Cross Validation?
Are Grid Search CV & Randomized Search CV always/necessarily supposed to give more accurate results after hyperparameter tuning as compared to K-Fold Cross Validation?
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1answer
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27 views
Does hyperparameter tuning of Decision Tree then use it in Adaboost individually vs Simultaneously yield the same results?
So, my predicament here is as follows, I performed hyperparameter tuning on a standalone Decision Tree classifier, and I got the best results, now comes the turn of Standalone Adaboost, but here is ...
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36 views
How to pick best model based on Accuracy and Recall in a GridSearchCV when you have already set scoring = custom_scorer?
This is a binary classification problem, I am using a GridSearchCV from Sklearn to find the best model, here is the GridSearch line I am using:
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1answer
32 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 ...
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2answers
40 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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0
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2answers
46 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 ...
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93 views
Worse performance after Hyperparameter tuning
I first construct a base model (using default parameters) and obtain MAE.
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1answer
70 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
27 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
73 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
16 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....
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1answer
1k 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 ...
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0answers
18 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
18 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
66 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 ...
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1answer
99 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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96 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, ...
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1answer
39 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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1answer
241 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 ...
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1answer
328 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
812 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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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 ...
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237 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 ...
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1answer
315 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
456 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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2answers
117 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 ...
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2answers
250 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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0answers
311 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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3answers
503 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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2answers
286 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 ...
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2answers
518 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 ...
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1answer
2k 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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1answer
20 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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97 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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2answers
4k 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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1answer
73 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 ...
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2answers
76 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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2answers
279 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 ...
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1answer
62 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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2answers
171 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 ...
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1answer
280 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 ...
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1answer
2k 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 ...
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1answer
68 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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3answers
6k 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
101 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
312 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 ...
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2answers
2k 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 ...