rahil-serasiya / Support-Vector-Machine-Algorithm-to-check-bank-note-authenticity- Public

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Our task is to predict whether a bank currency note is authentic or not based upon four attributes of the note i.e. skewness of the wavelet transformed image, the variance of the image, entropy of the image, and kurtosis of the image. This is a binary classification problem and we will use the Support Vector Machine algorithm to solve this probl…

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bank.csv		bank.csv

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Support vector machine

Problem Definition

Our task is to predict whether a bank currency note is authentic or not based upon four attributes of the note i.e. skewness of the transformed image, variance of the image, entropy of the image, and curtosis of the image. This is a binary classification problem and we will use SVM algorithm to solve this problem. The rest of the section consists of standard machine learning steps.

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Our task is to predict whether a bank currency note is authentic or not based upon four attributes of the note i.e. skewness of the wavelet transformed image, the variance of the image, entropy of the image, and kurtosis of the image. This is a binary classification problem and we will use the Support Vector Machine algorithm to solve this probl…

entropy machine-learning-algorithms support-vector-machine support-vector-machines svm-model skewness banknote-authentication bank-currency

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