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Yves rocher home work, Blida (Agence)

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    This algorithm mainly consists of 3 items as follows:- Training data set KNN value Training data set The training data set means the data didelė pasirinkimo sandorių platforma should be trained in order to get yves rocher home work using the algorithm. Higher the training data set higher accuracy.

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    Testing data set The data which should be tested against the training data set are called as testing data set. Simply the real-time input through which we expect an output.

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    KNN value This value is the main turning point of the algorithm since the whole output prediction can be changed based on this value. Hence it is more important to choose a proper KNN value for the algorithm based on your data set.

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    When we predict the output the testing data will gather number KNN of nearest points mentioned as KNN value and it will be set with the nearest point yves rocher home work them.

    Higher the KNN value higher the nearest points it will gather. Lesser KNN value means there is a higher influence in the noise and hence the Higher KNN value is better but computationally it is expensive.

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    Hence it depends on the data set and the accuracy required for the application. Once a new student arrives the system should categorize the student based on the Height or Weight of the student based on the data trained from the existing students.

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    Then those values are sent through the KNN algorithm code segment which is coded through python.