Table 2.
Classification as Schizophrenia or Control Across the Study Populations using the Machine Learning Model Trained to Discern Schizophrenia from Controls Trained in the Discovery Sample (Out-Of-Training Predictions are Provided for the Discovery Sample).
| Population Name | Predicted as Schizophrenia % (N) | Predicted as Controls % (N) |
|---|---|---|
| SCH (N = 347, Discovery sample) | 65.7% (228) | 34.3% (119) |
| Controls (N = 341, Discovery sample) | 31.7% (108) | 68.3% (233) |
| ASPD + SUD (N = 52, Sample 1) | 51.9% (27) | 48.1% (25) |
| SCH (N = 15, Sample 1) | 60.0% (9) | 40.0% (6) |
| SCH + SUD (N = 33, Sample 1) | 78.8% (26) | 21.2% (7) |
| SCH + SUD + ASPD (N = 18, Sample 1) | 94.4% (17) | 5.6% (1) |
| Controls (N = 25, Sample 2) | 16.0% (4) | 84.0% (21) |
| ASPD + SUD (N = 26, Sample 2) | 46.2% (12) | 53.8% (14) |
Note: SCH, individuals with schizophrenia; ASPD + SUD, individuals with antisocial personality disorder with substance use disorder; SCH + SUD, individuals with schizophrenia and substance use disorder; SCH + SUD + ASPD, individuals with schizophrenia, substance use disorder and antisocial personality disorder.