Time Series node - build output options

Maximum number of lags in ACF and PACF output. Autocorrelation (ACF) and partial autocorrelation (PACF) are measures of association between current and past series values and indicate which past series values are most useful in predicting future values. You can set the maximum number of lags that are shown in tables and plots of autocorrelations and partial autocorrelations.

For more information, see Autocorrelation and partial autocorrelation functions.

Calculate predictor importance. For models that produce an appropriate measure of importance, you can display a chart that indicates the relative importance of each predictor in estimating the model. Typically you want to focus your modeling efforts on the predictors that matter most, and consider dropping or ignoring the predictors that matter least. Predictor importance can take longer to calculate for some models, particularly when you are working with large datasets, and is off by default for some models as a result.

For more information, see Predictor Importance.