Computer Vision and Machine Intelligence in Medical Image Analysis by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9789811387982
Publisher: Springer Singapore

Model Comparison: The models were compared based on the precision, recall, F1-measures, and accuracy.

Results and Discussion: The testing of the five classifiers has been done using 20% of the total instances (i.e., 59 instances), and the results are analyzed and discussed in the next section.

4 Results and Discussion

Models are compared based on Precision (P), Recall (R), F1-Measure (FM), and accuracy, which can be calculated using the following formulas:

where TP stands for True Positive, FP stands for False Positive, FN stands for False Negative, and TN stands for True Negative (Fig. 1).

Fig. 1Comparison of classifiers on various parameters

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