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

The failure probability is predicted for each piece of equipment (Operating equipment before inspection) using the created prediction model. In this tutorial, you will use sample data that has been prepared for prediction.

Specify the prediction data 2_EquipmentFailure(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 “State (target)” displayed as “?” from information such as “Equipment Type”, “Maintenance Team”.

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

Please specify “Equipment 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 piece of equipment, a prediction probability of failure to purchase is calculated.