Prediction
Step 1
Select the prediction dataset on this screen. Let’s review the prediction data used in this tutorial.
Step 2
The failure type is predicted for failure information that has not yet been classified using the prediction model created. In this tutorial, you will use sample data that has been prepared for prediction.
Step 3
Specify the prediction data 2_FailureInformation(For Prediction).csv here.
Click “Select from Uploaded Data” and select the sample data from the data list on the “Samples” tab.
Step 4
The prediction dataset preview is displayed. Predict “Failure Type (target)” displayed as “?".
Click “Preview Result”. Wait a while until the preview screen of the prediction result is displayed.
Step 5
Please specify “Repair ID” in [Add the following variables to the first column]. Click “Save Prediction Results”, enter “File name” and click “Save”.
Step 6
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). Predicted probability of each failure type is calculated for all failure information.
