It is essential to evaluate the per

It is essential to evaluate the performance of the system. Classification accuracy, error, computational complexity etc. are used to evaluate the classifier model. Confusion Matrix is used to evaluate the performance of both classification and clustering approaches.

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Hal ini penting untuk mengevaluasi kinerja sistem. Klasifikasi akurasi, kesalahan, kompleksitas komputasi dll yang digunakan untuk mengevaluasi classifier model. Kebingungan matriks digunakan untuk mengevaluasi kinerja klasifikasi dan kekelompokan pendekatan.

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Results (Indonesian) 2:[Copy]

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Hal ini penting untuk mengevaluasi kinerja sistem. Akurasi klasifikasi, kesalahan, kompleksitas komputasi dll digunakan untuk mengevaluasi model classifier. Kebingungan Matrix digunakan untuk mengevaluasi kinerja dari kedua klasifikasi dan pengelompokan pendekatan.

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Results (Indonesian) 3:[Copy]

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