研究文章
心脏病预测基于嵌入式特征选择方法和神经网络
|
| SN |
属性 |
价值的重要性 |
|
| 1 |
年龄 |
−0.00144 |
| 2 |
性 |
−0.56535 |
| 3 |
cp |
0.288000 |
| 4 |
trestbps |
−0.005696 |
| 5 |
胆固醇 |
−0.001637 |
| 6 |
的边后卫 |
0.0 |
| 7 |
restecg |
0.1190487 |
| 8 |
thalach |
0.0079078 |
| 9 |
exang |
−0.332790 |
| 10 |
oldpeak |
−0.199450 |
| 11 |
坡 |
0.1589541 |
| 12 |
ca |
−0.252994 |
| 13 |
需要 |
−0.2927249 |
|
|
