Binary classification of digital sensor signals

The dataset is composed of digital signals obtained from sensor electrodes that are immersed in water or in oil. Each signal, stored in one row, is composed of 10 consecutive values and a label in the last column. The label is +1 for a water-immersed sensor electrode and -1 for an oil-immersed sensor electrode. This dataset could be used to train a classifier to infer the type of material in which the electrode is immersed in (water or oil), given a sample signal composed of 10 consecutive values.