highly significantp < 0.001
Instead, having the models trained on ground truth data led to highly significant ( p < 0.001) improvements across all model types: −261 ms for LR, −280 ms for CNN and −355 ms for RNN.
Instead, having the models trained on ground truth data led to highly significant ( p < 0.001) improvements across all model types: −261 ms for LR, −280 ms for CNN and −355 ms for RNN.