June 24, 2023, 10:56 p.m. | /u/zx2zx

machinelearningnews www.reddit.com

Deodel is a novel algorithm for mixed attribute data. It features a unique combination of characteristics:

- accepts as input tables formatted as list of lists, no need to preprocess columns
- supports a mix of numerical and categorical data in the same column/feature
- good accuracy, especially for heterogeneous attributes
- compact: one file/module
- python 100% implementation

Regarding accuracy, occasionally deodel outdoes more established algorithms like RandomForest, GradientBoostingClassifier, MLPClassifier, SVC, etc. Such an occasion is presented in here: …

accuracy algorithm categorical classifiers column combination data dataset feature features good learn list lists machinelearningnews mixed novel numerical preprocess scikit-learn tables

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