Scoring type

Read(137) Label: batch scoring, scoring,

After importing to-be-predicted data, you get the following window where there are two scoring types – “Batch scoring” and “Scoring”.


Batch scoring

You can score all imported data with “Batch scoring”.


Execute scoring

Click scoring button  on the toolbar from the “Batch scoring” tab to score all valid data. The scoring is completed when “Prediction finished” message appears:

Click “Finish” to view the scoring result:

Values of “Survived_1_percentage” field are percentages. If the specified threshold value is 0.5, <50% means the scoring result is 0, i.e., dead; ≥50% means a scoring result of 1, i.e. survived.

Scoring results of different types of target variables have their own formats. A binary target variable will have scoring results of percentages. A numerical target variable will get scoring results of numerical data.


Check model performance by scoring result

If to-be-scored data contains the target variable, you can check model performance according to the scoring result via “Model performance of scoring results” option on the lower part of the main screen. This lets you test model performance and evaluate model quality by comparing the actual performance with the model parameters configured in the modeling file.



Click “Export” button to export to-be-scored data and scoring result to a TXT file, a CSV file or an Excel file, or you can copy it to the clipboard. By default an exported file or the copied data contains headers.

“Copy to system clipboard”: Copy all data on the current page.

“Copy selected data to system clipboard”: Copy selected data only; use Ctrl to select multiple records.



This lets you score selected data or perform scoring according to a certain condition.


Type 1:

Select a line in “Batch scoring” tab and click “Score the first selected line”:

The system will jump to “Scoring” tab and show the result on the top, as shown below:


Type 2:

Under the “Edit” in the “Scoring” tab, you can shift the pointer to reset variable values on which the prediction is made. The scoring result will change accordingly.

For example, if values of the other variables remain unchanged and you shift Age value from 21 to 31, the scoring result will become 9.561%, lower than the previous 25.707% when the variable value is 31:

Save scoring result

You can save the current scoring result by clicking “Save scoring result”. And you can export the scoring result, shift it up, shift it down or delete it via “Export”, “Shift up”, “Shift down” and “Delete” buttons.