Table 2 Individual Feature performance in Logistic Regression
From: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3
Feature Incrementation | Accuracy | Precision | Recall | Specificity | F1-Score |
|---|---|---|---|---|---|
Top-1 Features | 68.61 | 75.20 | 68.61 | 51.20 | 71.14 |
Top-2 Features | 71.46 | 78.53 | 71.46 | 60.84 | 73.93 |
Top-3 Features | 71.23 | 78.40 | 71.22 | 60.59 | 73.73 |
Top-4 Features | 71.67 | 73.44 | 71.68 | 64.04 | 74.26 |
Top-5 Features | 70.99 | 73.24 | 70.99 | 63.99 | 73.70 |
Top-6 Features | 71.27 | 79.31 | 71.28 | 63.95 | 73.93 |
Top-7 Features | 76.01 | 83.54 | 76.01 | 75.01 | 78.24 |
Top-8 Features | 75.68 | 83.52 | 75.69 | 75.23 | 77.98 |
Top-9 Features | 75.92 | 83.67 | 75.92 | 75.58 | 78.18 |
Top-10 Features | 76.04 | 83.46 | 76.03 | 74.72 | 78.24 |
Top-11 Features | 76.08 | 83.45 | 76.08 | 74.63 | 78.28 |
Top-12 Features | 75.14 | 83.40 | 75.14 | 75.30 | 77.52 |
Top-13 Features | 75.73 | 83.58 | 75.73 | 75.44 | 78.02 |
Top-14 Features | 75.71 | 83.22 | 75.70 | 74.15 | 77.95 |
Top-15 Features | 76.63 | 83.81 | 76.62 | 75.45 | 78.75 |