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XOR_25 dataset

This is a tiny data set of the first 50 records (10 random hyper-parameter combinations at 5 epochs) from the complete dataset of 10,000 rows) and for demonstration purpose only.

file description
input.txt input data generated with xor shape at noise 25%. seven features (X1, X2, X12, X22, X1X2, sin(X1), sin(X2)) and labels (ground truth) for 200 input points. The ratio of the training to test is a varying hyper-parameter
index.txt values for the hyper-parameters used for each run and summary statistics. There are 5 rows per parameter combination correponding to 5 different epochs (25, 50, 100, 200, 400)
paramInfo.txt information about each column of index.txt (hyper-parameters + output statistics)
runs/[i].txt one file for each run: predicted labels the points at the i'th run
images/[i].png one plot for each run output: predicted classification. training and test points are represented with white and black stroke respectively.

The following images are the classification output plot for random hyper-parameters at different epochs.

epoch: 25 epoch: 50 epoch: 100 epoch: 200 epoch: 400