1. Classification of medicated ADD (MED) on basis of CON vs. unmedicated ADD (UMED) | ||||||||
Training Set: CON vs. UMED | Test Set: MED | |||||||
Num CON | % CON | Num UMED | % UMED | Num MED | % MED | DFA significance | ||
correct | correct | correct | correct | correct | correct | t | df | P |
550/619 | 88.9% | 150/165 | 90.9% | 161/182 | 88.46% | 25.55 | 799 | 0.0001 |
Top 5 FAC: 13, 12, 4, 1, 2 | ||||||||
2. Classification of ADD plus (APL) on basis of CON vs. ADD pure (APU) | ||||||||
Training Set: CON vs. APU | Test Set: APL | |||||||
Num CON | % CON | Num APU | % APU | Num APL | % APL | DFA significance | ||
correct | correct | correct | correct | correct | correct | t | df | P |
556/619 | 89.8% | 141/158 | 89.2% | 164/189 | 86.77% | 24.04 | 806 | 0.0001 |
Top 5 FAC: 13, 12, 4, 2, 3 | ||||||||
3. Classification of ADD extreme (AEX) on basis of CON vs. ADD not extreme (nAEX) | ||||||||
Training Set: CON vs. nAEX | Test Set: AEX | |||||||
Num CON | % CON | Num nAEX | % nAEX | Num AEX | % AEX | DFA significance | ||
correct | correct | correct | correct | correct | correct | t | df | P |
554/619 | 89.5% | 219/238 | 90.2% | 98/109 | 89.90% | 20.33 | 726 | 0.0001 |
Top 5 FAC: 13, 12, 4, 2, 1 |