Supplementary Table 2.
Measure | Description | Mathematical expression |
---|---|---|
Accuracy | Percentage of correctly classified samples | |
Sensitivity | Percentage of correctly classified samples belonging to schizophrenia (experiment 1)/positive symptoms (experiment 2) | |
Specificity | Percentage of correctly classified samples belonging to the healthy group (experiment 1)/positive symptoms (experiment 2) | |
Area under receiver operating characteristic curve | A common measure of sensitivity and specificity |
tp – True positives (number of correctly classified positive samples), tn – True negatives (number of correctly classified negative samples), fp – False positives (number of wrongly classified positive samples), fn – False negatives (number of wrongly classified negative samples). In experiment 1 – Schizophrenia was considered as positive group and healthy was considered as negative group. In experiment 2 – Positive symptom was considered as positive group and negative symptom was considered as negative group. SVM – Support vector machine; AUC – Area under receiver operating curve