Illustrative test cases for Tabular Regression#

Metamaterial Antennas#

This is a regression data set that comes with the NeurEco installation. This test case involves the prediction of the performance of an antenna, using its internal properties. The test case is provided with the following files:

  • Training data set containing \(457\) samples

    • x_train.csv: the training inputs file

    • y_train.csv: the training targets file

  • Testing data set containing \(113\) samples

    • x_test.csv: the testing inputs file

    • y_test.csv: the testing targets file

The \(7\) input and \(6\) output features of this test case are as follows:

Inputs

Outputs

wm: width and height of the SRR cells

s: return loss of the antenna

w0m: gap between rings

pr: power radiated by the antenna

dm: distance between rings

pa: power accepted by the antenna

rows: number of SRR cells in an array

gain: Antenna gain

Xa: distance between antenna patch and array

bandwidth: Antenna bandwidth

Ya: distance between SRR cells in the array

vswr: voltage standing wave ratio

tm: width of the rings

Energy consumption#

This is one of the tabular datasets provided with the NeurEco installation. This test case involves the prediction of energy consumption, in a given moment, of a chalet’s heating system, using meteorological data and the temperature difference between the inside and the outside. The \(1\) output and \(5\) input features of this test case are as follows:

Inputs

Outputs

delta_t : temp diff

Energy consumption

wind direction

wind speed (m/s)

SW: Sunshine energy input

HR% ext: relative humidity

This test case is provided with the following files:

  • training data set containing \(1135\) samples

    • x_train.csv: the training inputs file

    • y_train.csv: the training targets file

  • testing data set containing \(200\) samples

    • x_test.csv: the testing inputs file

    • y_test.csv: the testing targets file