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fix simple typo #1

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -163,7 +163,7 @@ Ventricular Tachycardia: 106, 200, 203, 205, 207, 210, 213, 214, 215, 223, 233

# MACHINE LEARNING STEPS

The supervised training was divided in two softwares: WEKA and MATLAB. While WEKA needs an an ARFF (Attribute-Relation File Format) file converted from the exported CSV, MATLAB needs to convert the CSV to a matrix, which were done with csv2matrix.
The supervised training was divided in two softwares: WEKA and MATLAB. While WEKA needs an ARFF (Attribute-Relation File Format) file converted from the exported CSV, MATLAB needs to convert the CSV to a matrix, which were done with csv2matrix.

There were two main CSV files extracted: all-samples.csv and all-samples-proportion.csv. While the all-samples.csv file has 3672 samples with unproportional Normal Synus quantity, the all-samples-proportion.csv file has 205 proportional samples. With these two files, a 80/20 percentage split was made, spliting each file in training and testing. Most of WEKA and MATLAB tests used the proportional files, using the training files for the 10 folds cross-validation (to obtain average accuracy) and the testing files for test sets.

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