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
