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README.md
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@@ -284,10 +284,10 @@ The following illustration gives the resulting confusion matrix :
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* Right : normalised acording to rows, rows sum at 100% and the **recall** is on the diagonal of the matrix
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<div style="position: relative; text-align center;">
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<p>Normalized Confusion Matrix (precision)</p>
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<img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-precision.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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<p>Normalized Confusion Matrix (recall)</p>
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<img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-recall.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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</div>
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* Right : normalised acording to rows, rows sum at 100% and the **recall** is on the diagonal of the matrix
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<div style="position: relative; text-align: center;">
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<p style="margin: 0;">Normalized Confusion Matrix (precision)</p>
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<img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-precision.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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<p style="margin: 0;">Normalized Confusion Matrix (recall)</p>
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<img src="FLAIR-INC_RVBIE_resnet34_unet_15cl_norm_cm-recall.png" alt="drawing" style="width: 70%; display: block; margin: 0 auto;"/>
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</div>
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