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modelsbenchmark's Introduction

About the project

ModelsBenchamrk is a simple app, which provides GUI wrapper for training and benchmarking sklearn models.

Estimated accuracy for models for Fashion-MNIST (custom parameters and preprocessing methods didn't affect the score much).

  • 89% - SVC
  • 88,5% - RandomForestClassifier
  • 86% - KNeighborsClassifier
  • 84% - LogisticRegression
ModelBenchmark Hall of Fame

Built With

  • C# - frontend
  • Python + Flask - backend

Roadmap

  • [] Enable loading custom datasets
  • [] Support for all sklearn models
  • [] Support for preprocessing

modelsbenchmark's People

Contributors

bartex-bartex avatar

Watchers

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