| Column Name | Data Type | Description |
|---|---|---|
| cause | VARCHAR | The input attribute (column) being evaluated as a potential causal variable. |
| effect | VARCHAR | The input attribute (column) being evaluated as a potential effect variable. |
| library_size | INTEGER | The size of the library evaluated. |
| correlation | DOUBLE PRECISION | For numerical cause variables only, this column returns the correlation between the values predicted by the effect attribute and the true value of the cause attribute. For categorical cause variables, this column returns null. |
| jaccard_index | DOUBLE PRECISION | For categorical cause variables only, this column returns the Jaccard similarity index between the values predicted by the effect attribute and the true value of the cause attribute. For numerical cause variables, this column returns null. |
| lower_bound | DOUBLE PRECISION | The lower bound of the 95% confidence interval of the prediction contained in the correlation or jaccard_index column. |
| upper_bound | DOUBLE PRECISION | The upper bound of the 95% confidence interval of the prediction contained in the correlation or jaccard_index column. |
| effect_size | DOUBLE PRECISION | The estimated effect size of increasing the library size from the smallest value to the largest value. A value is displayed in this column for the smallest library size used with each cause/effect pair. For other library sizes, this column is null. For numerical effects, the effect size in Cohen's q statistic. For categorical effects, the effect size is the difference of the two similarity measures. |
| effect_size_sd | DOUBLE PRECISION | The standard deviation of the effect size. |