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Results from DeepLearning tests with a custom dataset - using a trained Resnet50 CNN
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| Epochs:20 | |
| -- | |
| Examples labeled as 0 classified by model as 0: 12 times | |
| Examples labeled as 0 classified by model as 2: 7 times | |
| Examples labeled as 1 classified by model as 1: 17 times | |
| Examples labeled as 1 classified by model as 2: 2 times | |
| Examples labeled as 2 classified by model as 2: 29 times | |
| Examples labeled as 2 classified by model as 4: 4 times | |
| Examples labeled as 3 classified by model as 3: 1 times | |
| Examples labeled as 4 classified by model as 1: 1 times | |
| Examples labeled as 4 classified by model as 2: 11 times | |
| Examples labeled as 4 classified by model as 3: 1 times | |
| Examples labeled as 4 classified by model as 4: 3 times | |
| ==========================Scores======================================== | |
| # of classes: 5 | |
| Accuracy: 0.7045 | |
| Precision: 0.6930 | |
| Recall: 0.7185 | |
| F1 Score: 0.6656 | |
| Precision, recall & F1: macro-averaged (equally weighted avg. of 5 classes) | |
| ======================================================================== |
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| Examples labeled as 0 classified by model as 0: 14 times | |
| Examples labeled as 0 classified by model as 2: 7 times | |
| Examples labeled as 1 classified by model as 1: 17 times | |
| Examples labeled as 1 classified by model as 2: 3 times | |
| Examples labeled as 2 classified by model as 2: 33 times | |
| Examples labeled as 3 classified by model as 3: 20 times | |
| Examples labeled as 3 classified by model as 4: 1 times | |
| Examples labeled as 4 classified by model as 1: 1 times | |
| Examples labeled as 4 classified by model as 2: 11 times | |
| Examples labeled as 4 classified by model as 3: 3 times | |
| Examples labeled as 4 classified by model as 4: 5 times | |
| ==========================Scores======================================== | |
| # of classes: 5 | |
| Accuracy: 0.7739 | |
| Precision: 0.8517 | |
| Recall: 0.7438 | |
| F1 Score: 0.7494 | |
| Precision, recall & F1: macro-averaged (equally weighted avg. of 5 classes) | |
| ======================================================================== |
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