Table 2.

Results of the disability progression task

	RF			LR
% train	Lit	TS	Sign	Lit	TS	Sign
80	0.73±0.08	0.75±0.07	12.1%	0.67±0.10	0.72±0.08	21.8%
50	0.71±0.05	0.73±0.04	18.7%	0.67±0.06	0.71±0.05	35.8%
30	0.70±0.04	0.72±0.04	24.7%	0.65±0.05	0.69±0.04	37.9%
20	0.68±0.04	0.71±0.04	30.1%	0.63±0.06	0.67±0.05	42.2%

The leftmost column indicates what percentage of the dataset was used for training. Results are shown for the classifier using just latencies, EDSS at T₀ and age (Lit), and for the classifier trained on these features + additional TS features (TS). RF (Random Forest) and LR (Logistic Regression) indicate the classifier that was used. The sign column indicates the percentage of splits with a significant improvement, according to the DeLong test. These results are shown graphically in Fig. 4. The values after ± indicate the standard deviations