Bank note authentication
Problem : Bank note authentication is problem to decide notes are fradulent or legal.
Dataset :Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400 x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.
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Why Random forest classifier:Random forests is a supervised learning algorithm.It can be used both for classification and regression. It is also the most flexible and easy to use algorithm.Random forests creates decision trees on randomly selected data samples, gets prediction from each tree and selects the best solution by means of voting.
Importing python Libraries :
