After learning the prediction model, it automatically evaluates the prediction accuracy. This screen provides a summary of the model evaluation.

The prediction accuracy is calculated by comparing the actual results with the predicted results of the prediction model that is created. We found that we can predict the failure type with good accuracy from the number of stars at the prediction accuracy level!

Select “Precision” to see a more detailed evaluation. Evaluated values of prediction accuracy from various perspectives and tables and graphs of prediction accuracy are generated. You can scroll down to browse.

We found that the prediction accuracy is high. So why is the prediction accuracy high? Click “Understanding”.

This screen allows you to see which variables are effective for prediction and how they are effective.

This screen allows you to see which variables are effective for prediction and how they are effective. For failure type prediction, We can see that “Pointed Failure” is effective. The words that are important for prediction are also displayed on the right side.

Then click “Predict”.