Summary Table Schema
Column | Contents |
---|---|
predictor | One row for each target_column. |
category | Category name if predictor is categorical. |
coefficient | Estimated coefficient of input parameters. |
exp_coef | Exponent of coefficient (represents increase in units of hazard when covariate increases by 1). |
std_error | Standard error of coefficient. |
z_score | Wald test statistic for coefficient. (Wald test statistic assumes coefficient has normal distribution; that is, N(0, std_error).) |
p_value | p value for z_score. (p value represents significance of each individual coefficient.) |
significance | Significance code for p_value (see following table). |
Significance Codes
p_value | Significance Code |
---|---|
[0, 0.001) | *** |
[0.001, 0.01) | ** |
[0.01, 0.05) | * |
[0.05, 0.1) | . |
[0.1, 1] |
Following the summary table, the function displays the values of the following:
- Iteration#
- Convergence
- Likelikhood ratio test
- Wald test
- Score test
- Degree of freedom
CoefficientTable Schema
Column | Data Type | Description |
---|---|---|
id | INTEGER | Row identifier |
predictor | VARCHAR | Feature column name |
coefficient | DOUBLE PRECISION | Estimated coefficient of the input parameters |
exp_coef | DOUBLE PRECISION | Exponent of the coefficient |
std_error | DOUBLE PRECISION | Standard error of the coefficient |
z_score | DOUBLE PRECISION | Wald test statistic for the coefficient |
p_value | DOUBLE PRECISION | p value for the z score |
significance | VARCHAR | Significance code |
LinearPredictorTable Schema
Column | Data Type | Description |
---|---|---|
linear_predictor | DOUBLE PRECISION | k fixed covariates and coefficients of input parameters. |
event | INTEGER | 1 if event occurred during time interval, 0 otherwise. |
time_interval | INTEGER | Time interval of input data; that is, end_time - start_time, in any time unit (for example, years, months, or days). |
accumulate_column | Same as in InputTable | [Column appears once for each specified accumulate_column.] Column copied from InputTable. |