Numeric to Binary Converter

The purpose of this app is to optimise the location of cut-off points in numeric data, such that the resulting binary data version of an independent variable is the best available predictor of a binary version of the dependent variable. These binary versions of data can then be used for crisp-set QCA and EvalC3 type analyses.

1. Upload CSV file:

Maximum file size: 30 rows, 15 columns

Example of a correctly formatted CSV file:

ID,IV1,IV2,IV3,DV1,DV2,...
1,23,45,67,89,12
2,34,56,78,90,23
...

(IV = Independent Variable, DV = Dependent Variable)

2. Select the analysis type:

3. Select the independent variable column: And select the dependent variable column:

4. Define the IV cut-off point: Or, define the DV cut-off point:

5. Select performance measure:

Results

Classification Accuracy:

F1 Score:

Precision (Sufficiency):

Recall (Necessity):

MCC:

Optimal Cut-off Point(s):
File name for saving results: