A classification problem using Logistic Regression method is employed. After dimension reduction via AudioEncoding, the hyperparameters maximizing the classification accuracy are computed applying different types of minimization algorithms such as simulating annealing, differential evaluation, and random search method. The efficiencies of these methods are compared.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Optimizing Hyperparameters

  • Joseph Awange,
  • Béla Paláncz,
  • Lajos Völgyesi

摘要

A classification problem using Logistic Regression method is employed. After dimension reduction via AudioEncoding, the hyperparameters maximizing the classification accuracy are computed applying different types of minimization algorithms such as simulating annealing, differential evaluation, and random search method. The efficiencies of these methods are compared.