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Found 3 papers, 3 papers with code
From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration
The assessment of binary classifier performance traditionally centers on discriminative ability using metrics, such as accuracy.
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
Driven by an increasing prevalence of trackers, ever more IoT sensors, and the declining cost of computing power, geospatial information has come to play a pivotal role in contemporary predictive models.
Optimal Transport for Counterfactual Estimation: A Method for Causal Inference
Here, we will have the dual view: doing an intervention, or changing the treatment (even just hypothetically, in a thought experiment, for example by asking what would have happened if a person had been Black) can have an impact on the values of x.
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