| Name | Type | Description | Notes |
|---|---|---|---|
| treatment_id | string | The ID of the treatment | [optional] |
| treatment_name | string | The name of the treatment | [optional] |
| mean | float | The average value of the variation in this sample. It doesn’t capture the uncertainty in the measurement, so it should not be the only measurement you use to make decisions. | [optional] |
| data_mean | float | The mean of the data, with no priors effecting the result. | [optional] |
| data_std_dev | float | The standard deviation of the data, with no priors effecting the result. | [optional] |
| credible_interval | \LaunchDarklyApi\Model\CredibleIntervalRep | [optional] | |
| p_best | float | The likelihood that this variation has the biggest effect on the primary metric. The variation with the highest probability is likely the best of the variations you're testing | [optional] |
| relative_differences | \LaunchDarklyApi\Model\RelativeDifferenceRep[] | Estimates of the relative difference between this treatment's mean and the mean of each other treatment | [optional] |
| units | int | The number of units exposed to this treatment that have event values, including those that are configured to default to 0 | [optional] |
| traffic | int | The number of units exposed to this treatment. | [optional] |
| event_values_sum | float | The sum of the event values for the units exposed to this treatment. | [optional] |
| distribution | \LaunchDarklyApi\Model\Distribution | [optional] | |
| correlation | float | The outcome-covariate correlation | [optional] |
| standard_deviation_ratio | float | The ratio of the outcome SD to covariate SD | [optional] |
| covariate_imbalance | float | The imbalance between the covariate mean for the arm and the covariate mean for the experiment | [optional] |
| variance_reduction | float | The reduction in variance resulting from CUPED | [optional] |
| model | string | The model used to calculate the results. Parameters specific to this model will be defined under the field under the same name | [optional] |
| bayesian_normal | \LaunchDarklyApi\Model\BayesianNormalStatsRep | [optional] | |
| bayesian_beta | \LaunchDarklyApi\Model\BayesianBetaBinomialStatsRep | [optional] |