ROS wrapper for SMAC, a versatile tool for optimizing algorithm parameters
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Updated
Jul 19, 2021 - Python
ROS wrapper for SMAC, a versatile tool for optimizing algorithm parameters
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This repository contains code for parameter optimization of Support Vector Machines (SVM) using the Dry Bean Dataset. The code is implemented in Python using scikit-learn library. The goal of this project is to find the best parameters for the SVM model in order to achieve the highest accuracy possible for the Dry Bean Dataset.
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