Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
How can one use cross_val_score for regression? The default scoring seems to be accuracy, which is not very …
python scikit-learn regressionIn R stepwise forward regression, I specify a minimal model and a set of variables to add (or not to …
r regressionI have a Java app which needs to perform partial least squares regression. It would appear there are no Java …
java r machine-learning regressionWhen I use the following code with Data matrix X of size (952,144) and output vector y of size (952), mean_squared_…
python regression scikit-learn cross-validationMy apologies for the dumb question...but I can't seem to find a simple solution I want to extract the …
r regression lm beta standardizedI have a data.frame containing a continuous predictor and a dichotomous response variable. > head(df) position response 1 0 1 2 3 1 3 -4 0 4 …
r ggplot2 regressionI'm in the process of attempting to learn to work with neural networks in R. As a learning problem, I've …
r regression prediction kaggleI have many samples (y_i, (a_i, b_i, c_i)) where y is presumed to vary as a …
python numpy statistics regressionI am new to RStudio and I guess my question is pretty easy to solve but a lot of searching …
r excel csv regressionI am trying to predict the admit variable with predictors such as gre,gpa and ranks.But the prediction accuracy …
python machine-learning scikit-learn regression logistic-regression