Cross-Validation is a method of evaluating and comparing predictive systems in statistics and machine learning.
After reading through LightGBM's documentation on cross-validation, I'm hoping this community can shed light on cross-validating results and improving our …
python machine-learning cross-validation kaggle lightgbmI'm trying to find the best model Neural Network model applied for the classification of breast cancer samples on the …
python pandas scikit-learn cross-validation grid-searchI'm training an RNN using keras and would like to see how the validation accuracy changes with the data set …
machine-learning neural-network cross-validation keras recurrent-neural-networkI have an imbalanced dataset containing binary classification problem.I have built Random Forest Classifier and used k fold cross …
python scikit-learn random-forest cross-validation supervised-learningTLDR: How to get headers for the output numpy array from the sklearn.preprocessing.PolynomialFeatures() function? Let's say I have …
python python-2.7 validation scikit-learn cross-validationI'm trying to get the best set of parameters for an SVR model. I'd like to use the GridSearchCV over …
python scikit-learn cross-validation grid-searchFor improving Support Vector Machine outcomes i have to use grid search for searching better parameters and cross validation. I'm …
python svm scikit-learn cross-validationI'm using the glment package for regression in R. I do the cross validation using cv.fit<-cv.glmnet(…
r cross-validation glmnet mseI'm following one of the kernels on Kaggle, mainly, I'm following A kernel for Credit Card Fraud Detection. I reached …
python machine-learning scikit-learn cross-validationI am trying to predict a set of labels using Logistic Regression from SciKit. My data is really imbalanced (there …
python machine-learning scikit-learn logistic-regression cross-validation