How i can load and using file with type .data for dataset for training and testing of Neural network?
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Hi all.
I want to make project for letter recognition data using neural network. I found this dataset: https://archive.ics.uci.edu/ml/datasets/Letter+Recognition but, i don't know how to load and using first 16000 items for training and the remaining 4000 for testing of Neural network from this .data file.
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Greg Heath
on 7 Mar 2016
BEFORE GETTING INVOLVED WITH LARGE EXTERNAL SOURCES OF DATA, FAMILIARIZE YOURSELF WITH PATTERNNET
HELP PATTERNNET
DOC PATTERNNET
AND MATLAB CLASSIFICATION DATA EXAMPLES
HELP NNDATASETS
DOC NNDATASETS
HTH, GREG
Accepted Answer
Walter Roberson
on 6 Mar 2016
fid = fopen('TheDataset.data', 'rt');
num_attrib = 16;
fmt = ['%s', repmat('%f', 1, num_attrib)];
datacell = textscan(fid, fmt, 'Delimiter', ',', 'CollectOutput', 1);
fclose(fid);
which_letter = datacell{1};
attribs = datacell{2};
target_codes = which_letter - 'A' + 1;
Then one way of dividing the data would be
train_set = attribs(1:end-4000, :);
train_targets = target_codes(1:end-4000);
test_set = attribs(end-3999:end, :);
test_targets = target_codes(end-3999:end);
This is probably not what you would use in practice in the Neural Network Toolbox: you would normally program it in terms of parameters; see http://www.mathworks.com/help/nnet/ug/divide-data-for-optimal-neural-network-training.html
5 Comments
Walter Roberson
on 7 Mar 2016
You might need to transpose train_set . I have a hard time keeping straight whether train() wants the data for any one sample to run across the rows or down the columns.
More Answers (2)
Machine Learning Enthusiast
on 20 Sep 2016
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/175072/image.png)
OUTPUT of above code. But where is the training accuracy?
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