MNIST-1D: From logistic regression to ROCKET

MNIST-1D ( Greydanus & Steinbach, 2020 ) is a procedurally generated dataset that contains 1D-representations of the digits in the MNIST dataset. Here we try to fit some simple models on it and see if we can do well without neural networks. First, let’s load it and look at some examples. import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LogisticRegression from…