Table 5 The number of correctly classified images and incorrectly classified images in the test sets of the three datasets.
From: A Parallel Adaboost-Backpropagation Neural Network for Massive Image Dataset Classification
Classification approaches | The number of correctly classified images | The number of incorrectly classified images |
|---|---|---|
RF | 18,725 | 11,205 |
SVM | 18,795 | 11,135 |
Adaboost-BP | 18,998 | 10,932 |
The method of Shi et al. | 21,442 | 8,488 |
Parallel BP | 24,133 | 5,797 |
Parallel Adaboost-BP | 26,300 | 3,630 |
