Plot Colormap Confusion Matrix - Heatmap

A color map confusion matrix (heat map) with various styles
144 Downloads
Updated 14 Nov 2022

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


Mail

Cite As

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

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0

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