Results of classification accuracy <i>acc</i> for the proposed approach and the Sensorless data sets: Two hidden layer, the method to substitute values of missing attributes in local tables—Three artificial objects generated based on one original object, MLP networks aggregation using average of weights and various number of neurons in the hidden layer (3AO-2HL-AVG).

Designation I is used for the number of neurons in the input layer.