The best set of parameters is {number of conv filters, Nc: 256, number of units in LSTM Nh: 64, dropout probability for Dropout Layer: 0, learning rate: 0.001} for read-level prediction on 5-fold cros
Shapefile including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of temperature and humidity during 2017, aggregated by hour (18h CET).
