Prediction method for system errors

A prediction method for system errors, applied in a prediction system comprising a processing unit for predicting and alerting an error of a monitored system, the prediction method comprising steps of:

• pre-processing, with the processing unit, training data formed with a plurality of data points at a plurality of time slots to generate corresponding features to the data points of each time slot, and extracting a frequency-based feature for each time slot according to distribution of clustering, grouping or classification of the corresponding features in the previous time slot of a current time slot;
• and
• using, with the processing unit, a machine learning algorithm and taking model building data coming from the corresponding features and the frequency-based features as input to build up a prediction model for predicting and alerting a future error of the monitored system.