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Machine Learning Made Easy (MLme): A Comprehensive Toolkit for Machine Learning-Driven Data Analysis.

Akshay AkshayMitali KatochNavid ShekarchizadehMasoud AbediAnkush SharmaFiona C BurkhardRosalyn M AdamKatia MonastyrskayaAli Hashemi Gheinani
Published in: bioRxiv : the preprint server for biology (2023)
MLme is a novel tool that simplifies machine learning (ML) for researchers by integrating Data Exploration, AutoML, CustomML, and Visualization functionalities.MLme improves efficiency and productivity by streamlining the ML workflow and eliminating the need for extensive coding efforts.Rigorous testing on diverse datasets demonstrates MLme's promising performance in classification problems.MLme provides intuitive interfaces for data exploration, automated ML, customizable ML pipelines, and result visualization.Future developments aim to expand MLme's capabilities to include support for unsupervised learning, regression, hyperparameter tuning, and integration of user-defined algorithms.
Keyphrases
  • machine learning
  • data analysis
  • big data
  • artificial intelligence
  • electronic health record
  • deep learning
  • mental health
  • climate change
  • rna seq
  • current status
  • electron microscopy
  • single cell