The data here supports additional tests that are described in "Machine learning to extract information from noise: application to concrete and cancer detection" thesis. The chapter of the thesis where the tests are described constitutes work done in "Unveil the unseen: exploit information hidden in noise" paper, which is part of the thesis.

Data supporting additional scale/shift tests for extrapolation and data supporting tests with Cauchy, uniform, and exponential distributions. Files that end with '_train' correspond to training data, files that end with '_test' correspond to test data.

1. Files 'extrapolation_using_intermediate_train' and 'extrapolation_using_intermediate_test' correspond to the non-scaled, non-shifted dataset. Files that have 'scaled'/'shifted' in their name correspond to scaled and shifted data respectively.

2. Files that start with 'Cauchy', 'uniform', and 'exponential' correspond to additional tests on Cauchy, uniform, and exponential distributions respectively.