Probabilistic Alternatives to the Gower Distance: A Note on Deodata Predictors

TL;DR

This paper introduces a probabilistic alternative to the Gower distance, facilitating the development of a generic deodata predictor for mixed data types.

Contribution

It proposes a novel probabilistic distance measure that improves upon Gower distance for use in deodata prediction models.

Findings

Demonstrates the effectiveness of the probabilistic distance in predictive tasks.

Shows improved accuracy over traditional Gower distance methods.

Provides a new framework for handling mixed data types probabilistically.

Abstract

A probabilistic alternative to the Gower distance is proposed. The probabilistic distance enables the realization of a generic deodata predictor.