Cross-Validation is a method of evaluating and comparing predictive systems in statistics and machine learning.
I'm trying to do a 10-fold cross validation for some glm models that I have built earlier in R. I'm …
r partitioning prediction glm cross-validationI am looking at this tutorial: https://www.dataquest.io/mission/74/getting-started-with-kaggle I got to part 9, making predictions. In there …
python cross-validation kaggleI have a matrix with 20 columns. The last column are 0/1 labels. The link to the data is here. I am …
python scikit-learn cross-validationI'm tinkering with some cross-validation code from the PySpark documentation, and trying to get PySpark to tell me what model …
pyspark modeling cross-validation apache-spark-mllib apache-spark-mlI was thinking of trying to choose hyper parameters (like regularization for example) using cross validation or maybe train multiple …
python tensorflow machine-learning scikit-learn cross-validationI'm working on a project that would show the potential influence a group of events have on an outcome. I'm …
r classification glm cross-validation glmnetI'm implementing a Multilayer Perceptron in Keras and using scikit-learn to perform cross-validation. For this, I was inspired by the …
machine-learning keras scikit-learn neural-network cross-validationI want to do a cross validation for LightGBM model with lgb.Dataset and use early_stopping_rounds. The following …
python regression cross-validation lightgbmI would like to predict the probability from Logistic Regression model with cross-validation. I know you can get the cross-validation …
python scikit-learn logistic-regression cross-validationI am confused about the difference between the cross_val_score scoring metric 'roc_auc' and the roc_auc_score …
python machine-learning scikit-learn random-forest cross-validation