Questions tagged [gridsearchcv]

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why when I find the best accuracy for logistic regression then it give me this error (AttributeError: split not found)

after run this code I face the split not found error. ...
1 vote
1 answer
21 views

Grid Searching seed in randomized machine learning

I was wondering if tuning a seed with cross-validation in order to maximize the performance of an algorithm heavily based on a randomness factor is a good idea or not. I have created an Extra Tree ...
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21 views

Has anyone been able to run sklearn_evaluation.plot.grid_search with the "kind" parameter as "line"?

I am trying to optimize the hyperparameters (one of which is hidden_layer_sizes) of the ML learner: MLPRegressor, appealing to a visual representation to guide me ...
0 votes
1 answer
114 views

Need an example of a custom class whose instance is fed to sklearn Pipeline / make_pipeline to use with GridSearchCV

According to sklearn.pipeline.Pipeline documentation, the class whose instance is a pipeline element should implement fit() and transform(). I managed to create a custom class that has these methods ...
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2 votes
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87 views

random_state on train_test_split() appears to have large effect in performance metrics?

To summarize the problem: I have a data set with ~1450 samples, 19 features and a binary outcome where classes are fairly balanced (0.51 to 0.49). I split the data into a train set and a test set ...
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1 vote
2 answers
192 views

How to perform Grid Search on NLP CRF model

I am trying to perform hyperparameter tuning on sklearn_crfsuite.CRF model. When I try to execute below code, it doesn't give any exception but it probably fails to perform fit. And due to which, if I ...
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1 answer
248 views

Why is gridsearchCV.best_estimator_.score giving me r2_score even if I mentioned MAE as my main scoring metric?

I have a lasso regression model with the following definition : ...
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-1 votes
2 answers
117 views

gridsearchcv best coefficients do not match well with the perfect line

I wrote a program to find the best combination of coefficients to describe a variable. However, the coefficients from the gridsearchcv do not match well with the expected line. This is a sample of my ...
1 vote
1 answer
110 views

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 ...
1 vote
1 answer
42 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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1 answer
68 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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2 votes
1 answer
723 views

sklearn models Parameter tuning GridSearchCV

Dataframe: ...
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1 answer
69 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 ...
1 vote
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453 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: ...
1 vote
1 answer
73 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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-1 votes
2 answers
61 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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2 answers
61 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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1 answer
464 views

Worse performance after Hyperparameter tuning

I first construct a base model (using default parameters) and obtain MAE. ...
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0 votes
1 answer
228 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 ...
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2 votes
1 answer
139 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 votes
1 answer
473 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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1 answer
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....
3 votes
1 answer
5k 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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3 votes
1 answer
137 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 ...
1 vote
1 answer
220 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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130 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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1 vote
1 answer
66 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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1 answer
655 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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1 vote
1 answer
527 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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0 votes
1 answer
2k 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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1 answer
38 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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0 answers
417 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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1 answer
563 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 ...
0 votes
2 answers
756 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 votes
2 answers
216 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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2 answers
409 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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0 answers
416 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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3 votes
3 answers
1k 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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0 votes
2 answers
478 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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1 vote
2 answers
868 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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3 votes
1 answer
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?
3 votes
1 answer
22 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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1 vote
0 answers
128 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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0 votes
2 answers
6k 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: ...
5 votes
1 answer
81 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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1 vote
2 answers
140 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 votes
2 answers
315 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 votes
1 answer
120 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: ...
2 votes
2 answers
193 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 ...
2 votes
1 answer
313 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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