MCQ_I

The computational code for predicting the classification via RF based on either the MCQI-6 or the MCQI-14 .

[1] MCQI-6

1. R code functions

• ‘MCQI-6.rds’ : pre-trained RF model based on MCQI-6 used in the main function.
• ‘MCQI_6.R’: main function loading the RF model and predicting the class from the input data.

2. Input data example ‘input_data_MCQI_6_example.csv' is the example file for input data for MCQI-6. The first row contains six questions used for MCQI-6. From the second to the last column, each row is the response of each individual for MCQI-6. Users can decide the number of columns (number of individuals to test).

3. Output data example ‘output_data_MCQI_6_example.csv' is the example file for input data of function ‘MCQI_6.R’. The last column is the classification using RF based on MCQI-6. There are two classes:

1. “Yes” indicating that MCQ-I score is higher or equal to the cut-off score.
2. “No” indicating that MCQ-I score is lower than the cut-off score.

[2] MCQI-14

1. R code functions

• ‘MCQI-14.rds’ : pre-trained RF model based on MCQI-14 used in the main function.
• ‘MCQI_14.R’: main function loading the RF model and predicting the class from the input data.

2. Input data example ‘input_data_MCQI_14_example.csv' is the example file for input data for MCQI-14. The first row contains fourteen questions used for MCQI-14. From the second to the last column, each row is the response of each individual for MCQI-14. Users can decide the number of columns (number of individuals to test).

3. Output data example ‘output_data_MCQI_14_example.csv' is the example file for input data of function ‘MCQI_14.R’. The last column is the classification using RF based on MCQI-14. There are two classes:

1. “Yes” indicating that MCQ-I score is higher or equal to the cut-off score.
2. “No” indicating that MCQ-I score is lower than the cut-off score.