LOCO
The LOCO method seeks to understand the significance of a particular feature for a model's prediction performance.
The Leave-One-Covariate-Out (LOCO) method seeks to understand the significance of a particular feature for a model's prediction performance. By calculating the mean change in accuracy for each variable throughout the entire data set, LOCO generates global variable importance measures and can provide confidence intervals.
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