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Training and testing of ANN model on autoencoded spectra.

Type de record:

dataset

Créateur:

MasSamNicFre

Hôte:

M is either Minepa-ARA, Muleba-GA, Burkina-GA, or Muleba-Burkina-GA dataset.

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Tags

Medicine Neuroscience Biotechnology Cancer Science Policy Computational Biology Biological Sciences not elsewhere classified Burkina Faso NIRS spectra feature dimensions +9

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Training and testing ANN model on spectra preprocessed according to Mayagaya et al. [9].Independent testing of ANN model trained on encoded datasets.Box plots of parity estimation score when ANN models trained on 75% of spectra before the autoencoder was applied and tested on the remaining spectra (25%) (out of the sample testing).

Training and testing ANN model on spectra preprocessed according to Mayagaya et al. [9].

“M” is either Minepa-ARA, Muleba-GA, Burkina-GA, or Muleba-Burkina-GA.

Independent testing of ANN model trained on encoded datasets.

A) Applying an ANN model trained on the Encoded-Muleba-GA dataset to estimate the parity status o

Box plots of parity estimation score when ANN models trained on 75% of spectra before the autoencoder was applied and tested on the remaining spectra (25%) (out of the sample testing).

A, B, C, and D represent results for the Minepa-ARA, Muleba-GA, Burkina-GA, and Muleba-Burkina-GA