Research Article
Performance Prediction of Listed Companies in Smart Healthcare Industry: Based on Machine Learning Algorithms
Table 4
Comparative analysis of performance.
| Performance indexes | Evaluation indexes | Random forest | XGB | Deep learning |
| Profit margin on sales | Accuracy | 0.73774 | 0.70449 | 0.81584∗ | Precision | 0.74 | 0.69 | 0.83∗ | Recall | 0.75 | 0.75 | 0.80∗ | Type I error | 0.39176 | 0.34129 | 0.28132∗ | Type II error | 0.09317∗ | 0.17804 | 0.18359 |
| Return on assets | Accuracy | 0.70927 | 0.73504 | 0.79304∗ | Precision | 0.71 | 0.75 | 0.80∗ | Recall | 0.74 | 0.80 | 0.83∗ | Type I error | 0.43914 | 0.40827 | 0.30471∗ | Type II error | 0.08932∗ | 0.12737 | 0.17588 |
| Asset turnover | Accuracy | 0.80931 | 0.83649 | 0.84297∗ | Precision | 0.70 | 0.77 | 0.84∗ | Recall | 0.71 | 0.74 | 0.82∗ | Type I error | 0.38394 | 0.35127 | 0.20315∗ | Type II error | 0.09355∗ | 0.24294 | 0.16721 |
| Cost of sales rate | Accuracy | 0.80319∗ | 0.79339 | 0.80171 | Precision | 0.85∗ | 0.81 | 0.80 | Recall | 0.79∗ | 0.76 | 0.74 | Type I error | 0.43086 | 0.35149 | 0.28413∗ | Type II error | 0.08047∗ | 0.17306 | 0.14931 |
| Total asset growth rate | Accuracy | 0.80106∗ | 0.79254 | 0.79538 | Precision | 0.75 | 0.77 | 0.84∗ | Recall | 0.74 | 0.73 | 0.81∗ | Type I error | 0.50179 | 0.38147 | 0.30147∗ | Type II error | 0.05142∗ | 0.11597 | 0.10789 |
| Inventory turnover rate | Accuracy | 0.78505 | 0.76582 | 0.81137∗ | Precision | 0.80 | 0.81 | 0.87∗ | Recall | 0.79 | 0.82 | 0.84∗ | Type I error | 0.36921 | 0.30297 | 0.20762∗ | Type II error | 0.09399∗ | 0.27446 | 0.17582 |
| Accounts receivable turnover ratio | Accuracy | 0.74209 | 0.76934 | 0.81776∗ | Precision | 0.81 | 0.80 | 0.84∗ | Recall | 0.77 | 0.79 | 0.84∗ | Type I error | 0.46237 | 0.35887 | 0.28149∗ | Type II error | 0.08337∗ | 0.13572 | 0.14642 |
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∗indicates that the value is superior to the competitive model.
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