Selected article for: "confusion matrix and detailed classification"
Author: Rahul Kumar; Ridhi Arora; Vipul Bansal; Vinodh J Sahayasheela; Himanshu Buckchash; Javed Imran; Narayanan Narayanan; Ganesh N Pandian; Balasubramanian Raman
Title: Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers
  • Document date: 2020_4_17
    • ID: 59ghorzf_14
    Snippet: To evaluate the efficiency of the proposed framework, confusion matrix is estimated, which gives a detailed understanding of the classification process in Figure 2 . The classification model's usefulness and productivity was measured using the traditional metrics of accuracy, precision, and recall. Precision is the calculation of the model's correct predictions all over all predictions. Corresponding graphs of the.....
    Document: To evaluate the efficiency of the proposed framework, confusion matrix is estimated, which gives a detailed understanding of the classification process in Figure 2 . The classification model's usefulness and productivity was measured using the traditional metrics of accuracy, precision, and recall. Precision is the calculation of the model's correct predictions all over all predictions. Corresponding graphs of the

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