You must have data that measures what you watch about This sounds egregious, but at the same time, this is frequently not the case .However, also you have to have element- position information, If you want to prognosticate effects similar as failure at the element level. However, you need door- position detectors, If you want to prognosticate a door failure within a auto. It’s essential to measure the data that you watch about. You must have accurate data It’s veritably common in prophetic conservation that you want to prognosticate a failure being, but what you ’re actually prognosticating in your data isn't a real failure. For illustration, prognosticating fault. However, those might occasionally be failures, but occasionally not, If you have faults in your dataset. So you have to suppose precisely about what you’re modeling, and make sure that that's what you want to model. occasionally modeling a deputy of failure works. But if occasionally the faults are failures, and occasionally they aren’t, also you have to suppose precisely about that.
You must have data that measures what you watch about This sounds egregious, but at the same time, this is frequently not the case .However, also you have to have element- position information, If you want to prognosticate effects similar as failure at the element level. However, you need door- position detectors, If you want to prognosticate a door failure within a auto. It’s essential to measure the data that you watch about. You must have accurate data It’s veritably common in prophetic conservation that you want to prognosticate a failure being, but what you ’re actually prognosticating in your data isn't a real failure. For illustration, prognosticating fault. However, those might occasionally be failures, but occasionally not, If you have faults in your dataset. So you have to suppose precisely about what you’re modeling, and make sure that that's what you want to model. occasionally modeling a deputy of failure works. But if occasionally the faults are failures, and occasionally they aren’t, also you have to suppose precisely about that.