Random Forest plays an important role in different fields like Healthcare, Image, and Speech Recognition, among these Dermatological Disease detection is expensive due to Advanced Laser Technology. It’s critical to have affordable illness detection. Machine learning algorithms are used to accomplish it. An algorithm for machine learning used for classification is called Random Forest. The algorithm is a type of ensemble learning technique that combines different decision trees to create a more accurate as well as reliable model. The proposed approach can provide high accuracy and classify into either psoriasis or eczema diseases.

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Classification of Psoriasis and Eczema Using Random Forest Algorithm

  • Kilaru Devi Bhargavi,
  • V. Deepa,
  • I. V. L. Harshitha

摘要

Random Forest plays an important role in different fields like Healthcare, Image, and Speech Recognition, among these Dermatological Disease detection is expensive due to Advanced Laser Technology. It’s critical to have affordable illness detection. Machine learning algorithms are used to accomplish it. An algorithm for machine learning used for classification is called Random Forest. The algorithm is a type of ensemble learning technique that combines different decision trees to create a more accurate as well as reliable model. The proposed approach can provide high accuracy and classify into either psoriasis or eczema diseases.