Three models including one decision forests, one neural network and one threshold model are utilised for alarm prediction. Majority vote methodology is implemented for current ensemble consensus algorithms.
To get started, first set the threshold and train the machine learning models, and then you can upload you dataset to validate the effectiveness of the prediction function.