earth-and-nature

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AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin
emirhanai / AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin
I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.
health earth-and-nature business biology chemistry biotechnology machine-learning python artificial-intelligence artificial-neural-networks neural-network neural-networks extratreesclassifier extratreesregressor extra-trees-classifier extra-tree-regressor machine-learning-algorithms machine-learning-models machine-learning-projects
Language:Python 10

emirhanai / AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin