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README.md

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@@ -30,4 +30,4 @@ To run the classification script, users can utilize the config file `config_eye_
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```python
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classification_eye_trajectories.py --config config_eye_trajectories.json
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```
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The user should ensure that the paths inside the config file are correct. More details regarding the input arguments of the config file can be found inside the description of the function `ml_analysis` inside the `classification_eye_trajectories.py` [script](https://github.com/bfranceschiello/EyeTracking_preprocessing_and_ML_analysis/blob/a4222d99f9584e782befc85ded5e2f4402c31d87/2_ML_Analysis/classification_eye_trajectories.py#L15).
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The user should ensure that the paths inside the config file are correct. More details regarding the input arguments of the config file can be found inside the description of the function `ml_analysis` inside the `classification_eye_trajectories.py` [script](https://github.com/bfranceschiello/EyeTracking_preprocessing_and_ML_analysis/blob/a4222d99f9584e782befc85ded5e2f4402c31d87/2_ML_Analysis/classification_eye_trajectories.py#L15). For instance, if we want to classify with the Support Vector Machine instead of the CNN, the user can insert "svm" as input argument for `model_to_use`.

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