Tagged Questions

1
vote
1answer
45 views

R - how can I use neural networks for a binary dependent variable in R?

I have a dataset from a bank with demographic data and one variable telling if the customer is a good customer or not (binary variable). I would like to do prediction on if the customer is good or not ...
0
votes
0answers
81 views

Modeling using neuralnet package in R - lots of issues

I am using neural net package in R. While I understand the basic neural network concepts, the details and back end is still a tough nut for me. Currently all I can do is use brute force to change ...
1
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1answer
625 views

Example of time series prediction using neural networks in R

Anyone's got a quick short educational example how to use Neural Networks (nnet in R for example) for the purpose of prediction? Here is an example, in R, of a time series ...
0
votes
1answer
257 views

R neural net training and prediction

I am trying to form a model on a set of data that I gathered from MT4. The OHLC and some MA slopes. I am trying to get the best guess for price change in the future. I am using ...
1
vote
1answer
238 views

Interpreting the neural network output in R?

I managed to create neural network of my data. But I am not so sure about the interpretation of the R output. I used following command to create neural network: ...
1
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4answers
268 views

Methods & CRAN packages to predict probability using neural networks or others machine learning algorithms

I have a medical database containing 7 input variables (4 are binary) and a binary outcome variable (Survival: yes/no). My objective is to train and test an algorithm that predict probability of ...
11
votes
1answer
1k views

R libraries for deep learning

I was wondering if there's any good R libraries out there for deep learning neural networks? I know there's the nnet, ...
12
votes
2answers
1k views

Restricted Boltzmann machines vs multilayer neural networks

I've been wanting to experiment with a neural network for a classification problem that I'm facing. I ran into papers that talk of RBMs. But from what I can understand, they are no different from ...
0
votes
1answer
114 views

R package for feature set algorithm selection

I want to train a binary classification NN and part of this will require data pre-processing. However, I have a choice of which pre-processing algorithm to use. Of course I'd like to choose that one ...
0
votes
0answers
53 views

Optimization of models (ANN, radial basis, etc.) in R to target predictor levels to produce a desired response

I've learned how to use some packages like neuralnet and caret to create models based on designed experiments and am getting to ...
2
votes
0answers
285 views

How to deal with a mix of binary and continuous inputs in neural networks?

I'm using the nnet package in R to attempt to build an ANN to predict real estate prices for condos (personal project). I am new to this and don't have a math background so please bare with me. I ...
6
votes
2answers
445 views

How do I improve my neural network stability?

I'm using the neuralnet in R to build a NN with 14 inputs and one output. I build/train the network several times using the same input training data and the same network architecture/settings. ...
3
votes
1answer
5k views

How to train and validate a neural network model in R?

I am new to modeling with neural networks, but I managed to establish a neural network with all available data points that fits the observed data well. The neural network was done in R with the nnet ...
4
votes
2answers
995 views

Recurrent neural networks in R

I've heard a bit about using neural networks to forecast time series, specifically recurrent neural networks. I was wondering, is there a recurrent neural network package for R? I can't seem to find ...
3
votes
1answer
214 views

Meaning and use of `reltol` in `nnet` library in R

I'm trying to use the nnet library in R, and can't seem to work out how to use the reltol parameter. It says in the docs: ...
6
votes
2answers
883 views

How to get generalisation performance from nnet in R using k-fold cross-validation?

I'm doing some Machine Learning in R using the nnet package. I want to estimate the generalisation performance of my classifier by using k-fold cross-validation. ...