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The Köppen classification has been criticized on many grounds.
Marx's classification has been generally accepted method.
Therefore, the classification has been carried out in two stages.
Ninety-eight percent accuracy in classification has been achieved.
Student classification has been addressed in previous research.
Traditionally, classification has been a highly subjective, nonstandardized process.
In addition, a new classification has been presented for websites.
Surgical wound classification has been used in risk-adjustment models.
Subsequently, classification has been made using these feature vectors with the Support Vector Machines (SVMs).
Therefore in recent years, research towards place classification has been gaining in popularity.
To overcome this problem cost-sensitive classification has been used previously [37].
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