Questions tagged [gridsearchcv]
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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 ...
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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 ...
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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 ...
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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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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 ...
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Grid search for autoencoder model
I'm using autoencoder for anomaly detection. Model's output is basically the reconstructed input based on the original input. The anomalies are then calculated using the reconstrction error. I would ...
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1answer
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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.
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1answer
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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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Scikit Learn: Best Scorer for unbalanced classes for grid search
I am using unbalanced (with event rate of 10%) training data set for grid search on random forest binary classification. After going through so many posts I chose f1 score to find out the best ...
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1answer
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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:
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1answer
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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:
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1answer
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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 ...
