Cross-Validation is a method of evaluating and comparing predictive systems in statistics and machine learning.
I want to evaluate a random forest being trained on some data. Is there any utility in Apache Spark to …
apache-spark random-forest cross-validation apache-spark-ml apache-spark-mllibI have a dataset, which has previously been split into 3 sets: train, validation and test. These sets have to be …
python validation scikit-learn cross-validationIn an assignment, we are asked to perform a cross-validation on a CART model. I have tried using the cvFit …
r cross-validation rpartI have a large corpus of opinions (2500) in raw text. I would like to use scikit-learn library to split them …
machine-learning scikit-learn classification cross-validation text-classificationIn my classification scheme, there are several steps including: SMOTE (Synthetic Minority Over-sampling Technique) Fisher criteria for feature selection Standardization (…
machine-learning scikit-learn pipeline cross-validation feature-selectionI am using cross_validation from sklearn, from sklearn.cross_validation import train_test_split I get the below warning: …
scikit-learn cross-validationI am trying to run the following code: from sklearn.model_selection import StratifiedKFold X = ["hey", "join now", "hello", "join …
python scikit-learn cross-validationI've fit a Pipeline object with RandomizedSearchCV pipe_sgd = Pipeline([('scl', StandardScaler()), ('clf', SGDClassifier(n_jobs=-1))]) param_dist_sgd = {…
python scikit-learn pipeline cross-validationIs there a simple command to do leave-one-out cross validation with the lm() function in R? Specifically is there a …
r cross-validation lmI want to find the parameters of ParamGridBuilder that make the best model in CrossValidator in Spark 1.4.x, In Pipeline …
scala apache-spark pipeline cross-validation apache-spark-mllib