- 
                    Users need to fill up all the fields in the input form. It consists of 
                    12 spirometry values. All fields are mandatory. To know more about the 
                    input features, please refer to the "
                    About" page.
                
 
                - 
                    After providing inputs, users need to click on the 
                    "Submit" button for performing the prediction.
                
 
                - 
                    Users can click on the the "Reset" button to clear 
                    all inputs in the form.
                
 
                - 
                    Users can click on the "Insert sample data 1" and 
                    "Insert sample data 2" buttons to insert two different
                    sets of demonstrative data for testing purposes.
                
 
                
            
            
            
Understanding the output
            
                - 
                    The output contains three tables. In the first table, the inputs provided by the 
                    user are displayed.
                
 
                
                - 
                    In the second table, the prediction output of the six classifiers trained on the 
                    under-sampled datasets is displayed. It consists of the predicted class label 
                    (Obstructive/Non-obstructive) alongwith the prediction probability. To know 
                    more about the prediction methodology, please refer to the 
                    "About" page.
                
 
                
                - 
                    The third table shows the calculation of total probability for each class by 
                    averaging the prediction probabilities of six under-sampled classifiers. Final 
                    prediction is also shown based on the total probabilities.
                
 
                
            
         
        
        
            Bhattacharjee S. et al., J Comput Sci (2022), 63:101768. doi: 
            10.1016/j.jocs.2022.101768.
            Please contact Dr. Sudipto Saha (ssaha4@jcbose.ac.in)
            regarding any further queries.