Select the prediction dataset on this screen. Let’s review the prediction data used in this tutorial.

Use the prediction model that you have created to predict the characteristics for a raw material mix that you have not yet tested. In this tutorial, you will use sample data that has been prepared for prediction. We have prepared 51 patterns of mixed quantity, which is the best mixed quantity with little changes.

Specify the prediction data 2_ProductCharacteristic(For Prediction).csv here.

Click “Select from Uploaded Data” and select the sample data from the data list on the “Samples” tab.

The prediction dataset preview is displayed. Predict “Characteristic Value (target)” displayed as “?” from information such as “Fragrance material 1”, and “Fragrance material 2”.

Click “Preview Result”. Wait a while until the preview screen of the prediction result is displayed.

Please specify “Experiment ID” in [Add the following variables to the first column]. Click “Save Prediction Results”, enter “File name” and click “Save”.

When the prediction is complete, the following screen is displayed and the prediction results are saved in the specified file.

Predicted results are output in the following format (this format may vary depending on the option settings). For each mixing quantity, predicted characteristic values are calculated.