Hi All

I am using survival regression for predicting whether user will purchase in
next few days or not.

I am getting results similar to as shown below -

*Sample query -*

curl -i -X POST http://localhost:8000/queries.json -H "Content-Type:
application/json" -d '{"features":[1.560,-0.605]}'


*Output - *

{
  "coefficients": [
    -0.2633608588194104,
    0.22152319227842276
  ],
  "intercept": 2.6380946151040012,
  "prediction": 5.718979487634966,
  "quantiles": [
    1.1603238947151593,
    4.995456010274735
  ],
  "scale": 1.5472345574364683

}


For each user I am getting same values coefficients, intercept and scale,
but Quantile and prediction values are different?
What is the meaning of quantile and prediction here?

Thanks

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