query: Rule of thumb for choosing NN parameters in a regression analysis
positive_passages.docid: 8439
positive_passages.text: How to choose the number of hidden layers and nodes in a feedforward neural network?
negative_passages.docid: 78618
negative_passages.text: Selecting best model based on linear, quadratic and cubic fit of data
negative_passages.docid: 85976
negative_passages.text: Implementing linear regression with standardization
negative_passages.docid: 157122
negative_passages.text: How can factor-levels be automatically chosen in R to maximize the number of positive coefficients in a regression model?
negative_passages.docid: 40108
negative_passages.text: standardising non normally distributed predictors for regression
negative_passages.docid: 41386
negative_passages.text: Should one be concerned about multi-collinearity when using non-linear models?
negative_passages.docid: 75298
negative_passages.text: Standardization of variables and collinearity
negative_passages.docid: 30255
negative_passages.text: Multiple regression with more than 20 predictors
negative_passages.docid: 81547
negative_passages.text: Effect of switching response and explanatory variable in simple linear regression
negative_passages.docid: 62105
negative_passages.text: Why is lambda "within one standard error from the minimum" is a recommended value for lambda in an elastic net regression?
negative_passages.docid: 111321
negative_passages.text: When should we discretize/bin continuous independent variables/features and when should not?
negative_passages.docid: 55455
negative_passages.text: Getting started with neural networks for forecasting
negative_passages.docid: 122714
negative_passages.text: Regression coefficient greater than 1: is it possible?
negative_passages.docid: 114701
negative_passages.text: Determining best fitting curve fitting function out of linear, exponential, and logarithmic functions
negative_passages.docid: 43833
negative_passages.text: How to parameterize the ratio of two normally distributed variables, or the inverse of one?
negative_passages.docid: 125349
negative_passages.text: Does the cross-entropy cost make sense in the context of regression?
negative_passages.docid: 84469
negative_passages.text: Is there a thumb-rule for designing neural-networks?