Plot Colormap Confusion Matrix - Heatmap

版本 1.0 (3.5 KB) 作者: Farhad Abedinzadeh

A color map confusion matrix (heat map) with various styles

https://github.com/farhadabedinzadeh/ColorHeatMap_ConfusionMatrix

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更新时间 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)

`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`

引用格式

Farhad Abedinzadeh (2024). Plot Colormap Confusion Matrix - Heatmap (https://github.com/farhadabedinzadeh/ColorHeatMap_ConfusionMatrix/releases/tag/v1.0), GitHub. 检索来源 2024/9/27.