The Banknote Dataset involves predicting whether a given banknote is authentic given a number of measures taken from a photograph.
It is a binary class classification problem. The number of observations for each class is not balanced. There are observations with input variables and output variable. The variable names are as follows:
Variance of Wavelet Transformed image continuous
Skewness of Wavelet Transformed image continuous
Kurtosis of Wavelet Transformed image continuous
Entropy of image continuous
Class for authentic, for inauthentic
The dataset is given in databanknoteauthentication.txt file.
Use of the set as train data and as test data Do not forget to shuffle dataset Create a classifier. You can use whatever method algorithmapproach you want.
Compute the accuracy on test dataset.
sample of the dataset try accuracy on the sample as it should read from databanknoteauthentication.txt file :