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Questions - cross-validation

how to use an explicit validation set with predefined split fold?

I have explicit train, test and validation sets as 2d arrays: X_train.shape (1400, 38785) X_val.shape (200, 38785) X_test.shape (400, 38785) I am tuning the alpha parameter and need advice about how ...
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Bluetail

python-3.x

validation

scikit-learn

cross-validation

train-test-split

Votes: 0

Answers: 1

Latest Answer

You can achieve your desired outcome by merging X_train and X_val, and passing PredefinedSplit a list of labels, with -1 indicating training data and 1 indicating validation data. IE, X = np.concaten...
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eschibli

How to use nls with caret to do cross-validation

I have fit several models using nls to the same data and am trying to figure out how to use caret to do K-fold cross-validation (eg., here). This SO question asked a general question about using nls i...
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D Kincaid

r

cross-validation

caret

nls

Votes: 0

Answers: 1

Latest Answer

You could do this with the vfold_cv() function in the rsample package, which is in the tidymodels ecosystem. df <- structure(list(c = c(123.86, 208.75, 141.5, 230.73, 143.4, 209.31, ...
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DaveArmstrong

How to Get the Best Parameters of Cross_val_score?

How can I get the best parameters? wrapped = KerasClassifier(build_fn=createmodel_batch, epochs=100, batch_size=5, verbose=0) folds = StratifiedKFold(n_splits=3, shuffle=True, random_state=15) results...
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Rinad Akl

python

data-science

cross-validation

grid-search

Votes: 0

Answers: 1

Latest Answer

Looks like you're using sklearn's Keras wrapper. So, you should use GridSearchCV instead of cross_val_score. cross_val_score is used for evaluating estimator with choosen parameters. GridSearchCV acce...
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K0mp0t

How to do repeatedKfold CV the right way?

I am working on a binary classification using random forest with a dataset size of 977 records and 6 columns. class ratio is 77:23 (imbalanced dataset) Since, my dataset is small, I learnt that it is ...
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The Great

python

machine-learning

deep-learning

classification

cross-validation

Votes: 0

Answers: 1

Latest Answer

I'd say that there are two ways to do it. The first way is to write the code for training and validating manually. Here is an example of a code for it: scores = [] folds = RepeatedStratifiedKFold(n_sp...
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Andrey Lukyanenko

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