Table 1.
The classification models obtained for the evaluated schizophrenia patients using the SNP information at DRD3 and HTR2A.
| Data set | Gene | LNN | MLP | RBF | EC | MDR | Bayes
Nets |
Naïve
Bayes |
SVM | Decis.
Tb. |
DTNB | BFTree | AdaBoost |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
SNP (1:0) |
DRD3 | 62.9% | 59.5% | 58.9% | 56.6% | 60.0% | 62.5% | 61.6% | 64.8% | 62.2% | 59.5% | 61.3% | 63.4% |
| HTR2A | 62.4% | 62.9% | 63.7% | 57.5% | 64.0% | 61.9% | 66.6% | 65.2% | 61.0% | 62.3% | 62.8% | 63.5% | |
| Both | 64.5% | 64.7% | 62.5% | 58.7% | 64.0% | 61.2% | 64.8% | 64.9% | 61.5% | 66.2% | 62.9% | 65.9% | |
|
SNP (1:0.5) |
DRD3 | 74.6% | 72.9% | 71.5% | 71.0% | 60.5% | 71.3% | 71.0% | 75.4% | 73.5% | 70.4% | 73.7% | 71.3% |
| HTR2A | 75.9% | 75.5% | 73.6% | 71.7% | 74.2% | 62.2% | 62.9% | 77.4% | 73.2% | 70.9% | 74.5% | 71.4% | |
| Both | 78.2% | 76.8% | 74.4% | 71.5% | 70.7% | 62.9% | 63.3% | 76.8% | 73.1% | 73.2% | 75.0% | 71.4% | |
|
SNP (1:1) |
DRD3 | 80.5% | 79.5% | 78.5% | 78.2% | 69.8% | 77.9% | 76.2% | 81.4% | 79.6% | 77.1% | 79.4% | 78.6% |
| HTR2A | 80.7% | 81.7% | 80.2% | 78.5% | 71.0% | 71.9% | 72.3% | 83.0% | 79.8% | 76.8% | 81.2% | 78.8% | |
| Both | 81.4% | 82.2% | 80.2% | 78.6% | 71.3% | 71.7% | 72.0% | 82.6% | 79.4% | 78.5% | 81.2% | 78.8% | |
|
SNP (1:2) |
DRD3 | 87.0% | 86.1% | 85.8% | 85.4% | 79.4% | 84.8% | 83.2% | 87.7% | 86.6% | 80.4% | 86.1% | 85.2% |
| HTR2A | 88.0% | 88.1% | 86.3% | 85.9% | 81.4% | 81.3% | 81.6% | 88.8% | 86.5% | 76.2% | 87.6% | 86.1% | |
| Both | 87.8% | 88.4% | 86.5% | 85.8% | 81.4% | 81.3% | 81.3% | 88.5% | 86.7% | 79.2% | 87.9% | 86.1% | |
|
SNP (1:3) |
DRD3 | 89.9% | 89.5% | 88.9% | 88.4% | 84.8% | 89.4% | 86.9% | 90.6% | 89.5% | 87.6% | 89.5% | 88.7% |
| HTR2A | 90.4% | 90.7% | 89.3% | 89.1% | 85.9% | 85.7% | 85.9% | 91.4% | 89.7% | 86.5% | 90.3% | 89.4% | |
| Both | 91.5% | 91.3% | 89.3% | 89.1% | 86.1% | 85.7% | 85.6% | 91.2% | 89.5% | 89.1% | 90.9% | 89.4% | |
|
SNP (1:4) |
DRD3 | 91.9% | 91.7% | 91.3% | 90.9% | 87.4% | 91.5% | 89.2% | 92.5% | 91.6% | 90.3% | 91.5% | 90.7% |
| HTR2A | 92.6% | 92.7% | 91.8% | 91.2% | 88.5% | 88.6% | 88.6% | 93.2% | 91.7% | 88.5% | 92.4% | 91.5% | |
| Both | 92.6% | 93.0% | 91.6% | 91.2% | 89.3% | 88.5% | 88.5% | 93.0% | 91.6% | 91.1% | 92.5% | 91.5% | |
|
SNP (1:5) |
DRD3 | 93.9% | 93.1% | 93.0% | 92.1% | 88.4% | 92.9% | 90.8% | 93.6% | 93.1% | 91.8% | 92.9% | 92.2% |
| HTR2A | 93.2% | 93.9% | 92.9% | 92.6% | 91.2% | 90.5% | 90.5% | 94.3% | 93.1% | 90.0% | 93.5% | 92.9% | |
| Both | 93.9% | 94.2% | 93.1% | 92.6% | 91.2% | 90.4% | 90.4% | 94.2% | 93.1% | 92.6% | 93.8% | 92.9% |
Notes: LNN = Linear Neural Networks, MLP = Multilayer Perceptron; RBF = Radial Base Functions; EC = Evolutionary Computation; MDR = Multifactor Dimensionality Reduction; Bayes Nets = Bayesian Networks; SVM = Support Machine Vectors; Decis. Tb. = Decision Tables; DTNB = Decision Table Naïve Bayes Hybrid Classifier; BFTree = Best-First decision Tree classifier; AdaBoost = Adaptative Boosting.