![Contoh Perhitungan Confussion Matrix (Pengolahan Data) Contoh Perhitungan Confussion Matrix (Pengolahan Data)](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggB3lQ57pNo5Wyt6_aJ9IEbuz00F2UR5usSna463wQT7I_A38YUqtGqHOHPIdfxk7xftK5bXGSLwWFu5ocz9giVgTBFO6T4nVLFXD6tzTffM9vM-TKOvh7BxP5MD2sra3DMOAeL27Pbu_V/s640/Confussion+Matrix.jpg)
Soal
Mencari Uji Akurasi dan Presisi menggunakan Confusion Matrix dari tabel berikut:
![Conto soal Confussion Matrix Conto soal Confussion Matrix](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgINvb5Tl62Ici89OagIazGUC5MGluMN75dXvxENF1jHPb0m-9qFBn9Ia7I2s_4w1a9sr2SumARMkUI_qmgdwF7XBZPnETmI2OA3-FX1n1cr0S6N8gbOdyXF2fQlUjfdmEPjgMXla8-Z6jM/s640/1+copy.png)
Penyelesaian
Perhatikan Tabel Berikut
![]() |
Sumber gambar : https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62 |
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgg2HHnsIyL_VTR_f8owbR5uCXoyUeTA0xC_Fgca4tXNFoFlV1rHgpCHZhIdA7UUNVh1RAPbngd6XmlumwSLMUKGPp1ZUg1vEEOpHdBf1AK8TKtVx2Wo0pdM42bPLsZgZA0qfeS2mO0eHPw/s640/1+copy.jpg)
Dari tabel soal diatas dapat memperoleh data berikut:
- True Positive (TP) = 12
- True Negative (TN) = 10
- False Positive (FP) = 5
- False Negative (FN) = 4
Mencari Uji Akurasi Menggunakan Confusion Matrix
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjN8Nr1RFdt5ORKfDiVElXiX4OwzIuh9TzRUUJZ-0paWAzenLREy-qkHXeV_Ps9TLoHYd8RtwVzpWRSX-Ke9Lu00waZMx8hlOgbyPv_PgASSHo-IJQVumCfp7LSE7ztEShpbSqtX9Rb5XYo/s320/1.png)
Jadi presentasi uji akurasi adalah 70,96 %
Mencari Uji Presisi Menggunakan Congusion Matrix
Rumus:
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEijN6KrjXu1x3sZFceJz5Xb4mrOMYMieiAKd7p9U6KW-drQMkdeJUdP02nZcNvYqPqyV8Bv22MY0U-ZgYlaIGJhJ_QQM0dNNmk-x6r3XwFMW7enih3PT3SwXYgjGALsEQqJiYh3YPzqTzbj/s320/1.png)
Jadi presentasi uji presisi adalah 70,58 %