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Questions tagged [nnet]

Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.

167 questions
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Remove stargazer column from table

I want to make a table of a multinomial logit model with {stargazer}. library(dplyr) library(nnet) # create sample data data <- tibble( choice = rep(c("strawberry", "mango", "orange"), 100), likes_kiwi = rbinom(300, size = 1, prob = 0.3), …
Balthasar
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vif(): "Warning message: No intercept: vifs may not be sensible." Trying to check multicollinearity with multinomial logistic regression

I am trying to create a multinomial logistic regression model using nnet::multinom(). I have 2 independent variables (numeric from 0 to 10) and a dependent variable (factor with 4 levels 1,2,3,4). The problem is that when checking for…
Mari
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(Why) are standard errors from nnet::multinom scale dependent?

I have noticed that when I increase the scale of a predictor in a multinom() model (function is from nnet R package) the standard errors of other predictors and the intercept approach 0. Can someone tell my why that is? Feel like I'm overlooking…
jhfodr76
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Cross-validating multiple Neural Networks with varying size of the single hidden layer in R

I have to use a cross-validation to find out how many neurons the single hidden layer of my model should include (using the nnet package). I must write a function in R that takes the data, model, and a parameter n as inputs, and computes the model…
Marc-Marijn
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How can I add a title to multiclass.roc plots in pROC?

I have a multinomial model constructed with nnet:multinom of 5 classes for 26 variables: mirna_multinom_0 = multinom(formula_0, data= clase_training, maxit=10000 ) And then I create my ROCS with: multiclass.roc(clase_training$clase,…
Galpaccru
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Interpreting variable importance for multinomial logistic regression - `nnet::multinom()` and `caret::varImp()`

I am trying to calculate and interpret the variable importance of a multinomial logistic regression I built using the multinom() function from the {nnet} R package. I want to measure the variable importance of each predictor variable contributing to…
cyun
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Reverse engineer multinomial logistic regression data

I am working on a multinomial logistic regression problem (i.e., where I want to classify some unordered, independent levels of a nominal outcome variable). My issue is that I know the levels of the outcome variable (in this example,…
kstew
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Is the function nnet adapted for neural network with a text?

I am trying to make a neural network model to predict sentiment about a text. I have a data frame BDD with 3 columns: 1) there are adjectives. The name of the column is "ADJ" 2) there are nouns. The name of the column is "NOUN" 3) It's 1 if…
MAHE
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Multinomial stepwise forward selection

For my research I want to do multinomial logistic stepwise forward selection (despite its drawbacks). To do this I run the following example…
Luuk van Gasteren
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How to compare different models using caret, tuning different parameters?

I'm trying to implement some functions to compare five different machine learning models to predict some values in a regression problem. My intention is working on a suit of functions that could train the different codes and organize them in a suit…
Rafael-Pedrollo-de-Paes
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Is an Averaged neural network (avNNet) the average from all iterations?

I have fitted an Averaged neural network in R with Caret. See code below. Does the term Averaged mean that the average is based on the outcomes of 1000 neural networks? (since there are 1000 iterations in this…
Marcel
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Caret: There were missing values in resampled performance measures

I am running caret's neural network on the Bike Sharing dataset and I get the following error message: In nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures. I am…
Sunday
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Using svm and nnet for satellite image classification

I'm trying to run a satellite image classification using Support Vector Machine (svmPoly) and Neural Network (nnet). When running the cross-validation, I get the desired outputs (i.e. a 6x6 confusion matrix) from both methods. When I run the…
Leon D
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the package tsDyn NNET function

I am a new beginner in R, recently, I use the NNET function in the package of tsDyn, when I load two packages tidyquant and tsDyn simultaneously, there is a mistake when I just run the the code of examples in the package tsDyn. I don't how to solve…
Quinn
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R_function Predict()_using a test sample_Error object 'Pred' not found

I implemented a neural network algorithm with a training sample. Now I want to calculate the prediction of the model on a test sample. My R code is the following: rn=nnet(resignation~., data=T5_training[,-1], entropy=TRUE, size=5, decay=2,…
user9419032
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