Dataset for binary classification of digital sensor signals

The dataset is composed of digital signals obtained from a capacitive sensor electrodes that are immersed in water or in oil. Each signal, stored in one row, is composed of 10 consecutive intensity 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 should be used to train a classifier to infer the type of material in which an electrode is immersed in (water or oil), given a sample signal composed of 10 consecutive values.

该数据集由电容式传感器电极在水中或油中浸没所获得的数字信号构成。每个信号存储于一行，由10个连续的强度值和一个位于最后一列的标签组成。标签为+1表示电极浸没于水中，而-1则表示电极浸没于油中。该数据集旨在用于训练分类器，以便根据由10个连续值组成的样本信号，推断电极所浸没的材料类型（水或油）。