I need some recommendation here. I'm trying to create a solution which utilise machine learning capability.Example;I have a database of:Date:    1-Jan-05Car Brand:   Ford Focus mk3Symptom 1:   JerkingOccurrence:  50Symptom 2:   Power LossOccurrence:  3Symptom 3:   occurrence:  Remedial Action: Replace TCMPost Remedy Occurence:   0Success: YesDate    Car Brand   Manufacturing Year  Symptom 1   Occurrence  Symptom 2   Occurrence  Remedial Action Post Occurrence Success1-Jan-05    Ford Focus mk3  2012    Jerking 50  Power Loss  3   Replace TCM 0   Yes2-Jan-05    Audi A4 2012    Jerking 35  Unresponsive    2   Replace TCM 0   Yes3-Jan-05    Volvo S50   2015    Engine Light Check  50  Power Loss  15  Replace O2 Sensor   0   YesWhat I need from this data is the ability for the system to suggest me sets of solution with probability of success with each solution.May I know/ get suggestion from this community on what algorithm shall i pick?Thank you
Selection of Model for This Historical Learning Problem
machine learning