##MNIST-dataset-analysis-with-Random-Forest-and-Support-Vector-Machine
http://yann.lecun.com/exdb/mnist/ --> get the data set here.
Four files are available on this site:
train-images-idx3-ubyte.gz: training set images (9912422 bytes) train-labels-idx1-ubyte.gz: training set labels (28881 bytes) t10k-images-idx3-ubyte.gz: test set images (1648877 bytes) t10k-labels-idx1-ubyte.gz: test set labels (4542 bytes)
Addressing the MNIST Dataset problem using Random Forest Classifier
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using sklearn we build a classifier as random forest with 100 trees in the forest and 10 job parallely running capacity
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undergone testing training split for data set where the testing hold out is 10%
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calculated score by fitting the testing data in the pickled model