Research Article
Agricultural Product Sales Prediction of ICM Neural Network Improvement by Sparse Autoencoder
Table 2
Comparison of classification accuracy of different models.
| Number of samples | Algorithm | Precision | Recall | Time |
| 1000 | Improved ICM | 0.721 | 0.695 | 7.5 | SVM | 0.646 | 0.628 | 8.6 | Softmax | 0.425 | 0.406 | 8.8 |
| 2000 | Improved ICM | 0.763 | 0.743 | 12.1 | SVM | 0.691 | 0.667 | 15.5 | Softmax | 0.546 | 0.528 | 14.8 |
| 3000 | Improved ICM | 0.813 | 0.789 | 20.5 | SVM | 0.715 | 0.709 | 25.2 | Softmax | 0.551 | 0.538 | 25.9 |
|
|