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README.md
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The primary evaluation metric used is Accuracy. A confusion matrix was also generated to visualize per-class performance.
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* **Accuracy:** The proportion of correctly classified images out of the total number of images evaluated.
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$$
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\text{Accuracy} = \frac{\text{Number of correct predictions}}{\text{Total number of predictions}}
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$$
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The primary evaluation metric used is Accuracy. A confusion matrix was also generated to visualize per-class performance.
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* **Accuracy:** The proportion of correctly classified images out of the total number of images evaluated.
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*
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$$
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\text{Accuracy} = \frac{\text{Number of correct predictions}}{\text{Total number of predictions}}
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$$
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