Plot Colormap Confusion Matrix - Heatmap

バージョン 1.0 (3.48 KB) 作成者: Farhad Abedinzadeh
A color map confusion matrix (heat map) with various styles
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更新 2022/11/14
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A ColorMap(HeatMap)Style Confusion Matrix

This code is an alternative to the MATLAB functions plotconfusion and confusionchart.

How to Use?

[ConfMat,Accuracy] = CmapConfusionMatrix(Actual_Labels,Predicted_Labels,Cmap);
  • ConfMat : Confusion Matrix
  • Accuracy : Accuracy of Classification
  • Actual_Labels : True Labels
  • Predicted_Labels : Output Labels
  • Cmap : Colormap Style
    • Colormap Name : Select from the table below

If no Cmap argument is provided, a popup window will appear asking you to select one of the listed colormaps, and if you ignore this step or try to choose default colormap, default option will be selected automatically.(like the below)

snip

HeatMap Styles

<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th class="readme_th">Colormap Name</th> <th class="readme_th">Color Scale</th> </tr> </thead> <tbody> <tr> <td class="readme_td"><code>parula</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/a540cb7ff9b904691c8f5ebb2ea1ced5d48ffcb598d1d0366936bb011c6c7a1e/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f706172756c615f7570646174653137612e706e67"><img src="https://camo.githubusercontent.com/a540cb7ff9b904691c8f5ebb2ea1ced5d48ffcb598d1d0366936bb011c6c7a1e/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f706172756c615f7570646174653137612e706e67" alt="colormap_winter" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_parula_update17a.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>turbo</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/2b3221a5514398be65ef166d3b62de3e853d651fbeac1621acb097057737da9d/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f747572626f2e706e67"><img src="https://camo.githubusercontent.com/2b3221a5514398be65ef166d3b62de3e853d651fbeac1621acb097057737da9d/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f747572626f2e706e67" alt="colormap_turbo" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_turbo.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>hsv</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/66e18dee90f97f3356e45a36b010cf4ee89cfd37b2029e5e43febfe583e12dd3/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f6873762e706e67"><img src="https://camo.githubusercontent.com/66e18dee90f97f3356e45a36b010cf4ee89cfd37b2029e5e43febfe583e12dd3/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f6873762e706e67" alt="colormap_hsv" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_hsv.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>hot </code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/22660a1eb3309a6b2f396ccd985839c2c1dcfab72231fa11c119e5818e848c81/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f686f742e706e67"><img src="https://camo.githubusercontent.com/22660a1eb3309a6b2f396ccd985839c2c1dcfab72231fa11c119e5818e848c81/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f686f742e706e67" alt="colormap_hot" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_hot.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>cool</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/d4f6ab6c6bc02c37649d875467106492eb13d4433018d3828966e6913f3eb6b4/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f636f6f6c2e706e67"><img src="https://camo.githubusercontent.com/d4f6ab6c6bc02c37649d875467106492eb13d4433018d3828966e6913f3eb6b4/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f636f6f6c2e706e67" alt="colormap_cool" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_cool.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>spring</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/250bcecb8bfada43bd7c5a08a2a840652f3ca55e8660e8fbaccae5de012408c0/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f737072696e672e706e67"><img src="https://camo.githubusercontent.com/250bcecb8bfada43bd7c5a08a2a840652f3ca55e8660e8fbaccae5de012408c0/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f737072696e672e706e67" alt="colormap_spring" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_spring.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>summer</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/a3ecde4eb53911e4400becc171661e5473e16ab58f7fd4d97750118aeaa417f0/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f73756d6d65722e706e67"><img src="https://camo.githubusercontent.com/a3ecde4eb53911e4400becc171661e5473e16ab58f7fd4d97750118aeaa417f0/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f73756d6d65722e706e67" alt="colormap_summer" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_summer.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>autumn</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/57e1bdf39b9a27140412cf73f1c4ea1935d3d4d9dea66ad1971d742c7d254af0/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f617574756d6e2e706e67"><img src="https://camo.githubusercontent.com/57e1bdf39b9a27140412cf73f1c4ea1935d3d4d9dea66ad1971d742c7d254af0/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f617574756d6e2e706e67" alt="colormap_autumn" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_autumn.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>winter</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/46ad96592dbc538a8ff2ab6e7b55637ca29b928b64e83042403dea0e0b2675e3/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f77696e7465722e706e67"><img src="https://camo.githubusercontent.com/46ad96592dbc538a8ff2ab6e7b55637ca29b928b64e83042403dea0e0b2675e3/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f77696e7465722e706e67" alt="colormap_winter" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_winter.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>gray</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/e8947178490fe186812fbed8af7687f546e00c9b9374012173bd3f124d7e5ae8/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f677261792e706e67"><img src="https://camo.githubusercontent.com/e8947178490fe186812fbed8af7687f546e00c9b9374012173bd3f124d7e5ae8/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f677261792e706e67" alt="colormap_gray" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_gray.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>bone</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/dc07ad22488ca84eb4fa1adb83947157eb0a19c0ad35429f1f58fedde3af4986/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f626f6e652e706e67"><img src="https://camo.githubusercontent.com/dc07ad22488ca84eb4fa1adb83947157eb0a19c0ad35429f1f58fedde3af4986/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f626f6e652e706e67" alt="colormap_bone" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_bone.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>copper</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/187b2939894d660b6148b3cc5a2bed7b5605755c10742dffbb2bdb9aaf78d75e/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f636f707065722e706e67"><img src="https://camo.githubusercontent.com/187b2939894d660b6148b3cc5a2bed7b5605755c10742dffbb2bdb9aaf78d75e/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f636f707065722e706e67" alt="colormap_copper" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_copper.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>pink</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/2508510d60bdf0775980f1aaa2ecb8879861993ac298c7d19aa5281a845950e7/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f70696e6b2e706e67"><img src="https://camo.githubusercontent.com/2508510d60bdf0775980f1aaa2ecb8879861993ac298c7d19aa5281a845950e7/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f70696e6b2e706e67" alt="colormap_pink" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_pink.png" style="max-width: 100%;"></a></td> </tr> <tr> <td class="readme_td"><code>jet</code></td> <td class="readme_td"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://camo.githubusercontent.com/671162664c32058339205a8cdbdb07d8bcc64571b441986a61fe07c368815654/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f6a65742e706e67"><img src="https://camo.githubusercontent.com/671162664c32058339205a8cdbdb07d8bcc64571b441986a61fe07c368815654/68747470733a2f2f6e6c2e6d617468776f726b732e636f6d2f68656c702f6d61746c61622f7265662f636f6c6f726d61705f6a65742e706e67" alt="colormap_jet" data-canonical-src="https://nl.mathworks.com/help/matlab/ref/colormap_jet.png" style="max-width: 100%;"></a></td> </tr> </tbody> </table></markdown-accessiblity-table>

Output using summer ColorMap

colorconf

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引用

Farhad Abedinzadeh (2025). Plot Colormap Confusion Matrix - Heatmap (https://github.com/farhadabedinzadeh/ColorHeatMap_ConfusionMatrix/releases/tag/v1.0), GitHub. に取得済み.

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