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- ## Old model with old images
- ========================Evaluation Metrics========================
- # of classes: 24
- Accuracy: 0.8812
- Precision: 0.8778
- Recall: 0.8805
- F1 Score: 0.8776
- Precision, recall & F1: macro-averaged (equally weighted avg. of 24 classes)
- =========================Confusion Matrix=========================
- 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
- -------------------------------------------------------------------------------------------------
- 185 0 1 0 0 0 7 2 0 0 0 1 3 6 0 0 0 6 3 0 0 0 0 0 | 0 = 0
- 0 204 5 0 2 4 1 0 0 0 0 0 0 0 2 0 0 0 0 1 1 0 0 0 | 1 = 1
- 2 0 216 0 1 0 0 0 0 0 1 1 0 13 0 1 0 1 0 0 0 0 1 1 | 2 = 2
- 0 0 0 198 0 0 0 0 2 1 0 1 0 4 0 0 1 0 0 3 4 0 0 0 | 3 = 3
- 3 0 2 1 195 0 0 0 0 0 0 1 1 9 0 0 0 0 0 0 0 0 0 3 | 4 = 4
- 0 1 1 0 2 195 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 5 0 0 | 5 = 5
- 1 0 0 0 0 1 173 31 0 0 2 0 0 1 3 0 0 0 2 0 0 0 1 0 | 6 = 6
- 11 1 1 0 1 0 14 227 0 11 1 0 0 0 4 0 0 0 0 0 0 0 0 2 | 7 = 7
- 0 0 2 7 0 2 0 0 177 1 4 0 0 1 0 0 0 3 1 0 1 1 6 5 | 8 = 8
- 0 1 0 3 0 0 0 0 2 109 0 0 0 0 3 0 4 1 1 2 0 2 2 0 | 9 = 9
- 1 0 0 1 1 0 2 0 0 1 217 0 0 0 0 0 0 0 0 0 0 0 0 1 | 10 = 10
- 0 0 1 0 0 0 0 0 0 0 0 199 1 4 0 0 0 12 1 0 0 0 1 0 | 11 = 11
- 0 1 1 0 0 0 0 0 0 0 0 20 182 4 0 1 0 2 4 0 0 0 2 0 | 12 = 12
- 0 0 6 2 2 0 0 0 0 0 0 3 2 187 1 2 0 5 3 0 0 0 0 0 | 13 = 13
- 0 0 0 1 0 0 0 2 0 0 0 0 0 2 206 11 0 1 2 0 0 0 1 2 | 14 = 14
- 0 0 1 0 1 0 0 0 1 0 1 0 0 3 16 191 0 0 0 0 0 0 1 0 | 15 = 15
- 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 70 0 0 4 1 0 3 0 | 16 = 16
- 3 2 0 0 3 0 0 0 0 0 0 10 1 9 0 0 0 187 9 0 0 0 0 2 | 17 = 17
- 0 0 0 0 0 0 0 1 0 0 0 6 17 2 1 0 0 17 166 0 0 0 0 0 | 18 = 18
- 0 1 0 1 0 1 0 0 0 2 1 0 0 0 0 0 19 0 0 175 7 4 2 0 | 19 = 19
- 0 0 0 2 3 1 0 0 0 2 1 0 0 0 3 0 8 0 0 17 181 3 1 0 | 20 = 20
- 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 249 0 0 | 21 = 21
- 0 0 0 1 0 1 0 0 0 1 2 0 1 0 4 0 2 0 1 1 0 0 207 0 | 22 = 22
- 2 0 0 0 0 0 0 2 2 0 0 1 0 1 7 1 0 0 0 0 0 0 1 198 | 23 = 23
- Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
- ==================================================================
- ## New model with old images
- ========================Evaluation Metrics========================
- # of classes: 24
- Accuracy: 0.8694
- Precision: 0.8713
- Recall: 0.8667
- F1 Score: 0.8668
- Precision, recall & F1: macro-averaged (equally weighted avg. of 24 classes)
- =========================Confusion Matrix=========================
- 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
- -------------------------------------------------------------------------------------------------
- 198 0 0 0 0 0 3 7 0 0 0 0 1 0 0 0 0 0 5 0 0 0 0 0 | 0 = 0
- 3 202 2 0 1 3 0 0 0 4 2 0 0 0 2 0 0 0 0 0 1 0 0 0 | 1 = 1
- 4 0 213 0 8 0 2 0 1 0 0 0 1 6 1 1 0 1 0 0 0 0 0 0 | 2 = 2
- 2 0 1 201 0 0 0 0 1 5 0 3 0 0 0 0 0 0 0 1 0 0 0 0 | 3 = 3
- 6 0 4 1 191 0 0 0 0 0 0 2 3 1 0 0 0 4 2 0 0 0 1 0 | 4 = 4
- 1 6 0 1 1 188 0 0 1 3 3 0 0 0 0 0 0 0 0 0 1 4 0 0 | 5 = 5
- 1 0 0 1 1 0 187 18 0 4 1 0 2 0 0 0 0 0 0 0 0 0 0 0 | 6 = 6
- 2 0 0 1 0 0 30 233 0 1 0 0 1 0 3 0 0 0 1 0 0 0 0 1 | 7 = 7
- 1 0 0 3 1 1 0 0 191 3 1 0 3 0 2 0 0 2 0 0 2 0 1 0 | 8 = 8
- 0 1 0 1 0 0 3 0 0 119 0 0 0 0 0 0 0 1 1 3 0 0 1 0 | 9 = 9
- 0 1 0 3 0 0 1 0 1 0 215 0 0 0 0 0 0 0 3 0 0 0 0 0 | 10 = 10
- 1 0 0 0 0 0 0 0 0 0 0 172 26 0 0 0 0 10 7 0 0 0 3 0 | 11 = 11
- 0 0 0 0 2 2 0 0 0 0 0 2 193 1 1 0 0 2 13 0 0 0 1 0 | 12 = 12
- 4 0 7 1 1 0 0 0 0 0 0 2 7 162 1 4 0 17 7 0 0 0 0 0 | 13 = 13
- 0 1 0 1 0 0 1 10 0 1 1 0 2 0 198 7 0 0 3 0 0 0 3 0 | 14 = 14
- 1 0 0 1 1 0 1 3 1 0 1 0 0 2 12 186 0 0 0 0 0 0 4 2 | 15 = 15
- 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 57 0 0 13 1 0 2 0 | 16 = 16
- 7 1 0 0 4 0 0 0 0 0 0 7 6 3 0 0 0 189 8 0 0 0 1 0 | 17 = 17
- 4 0 0 0 0 0 1 0 0 1 0 6 16 1 0 0 0 15 166 0 0 0 0 0 | 18 = 18
- 0 0 0 5 0 0 0 0 0 3 1 0 0 0 0 0 6 1 0 182 14 1 0 0 | 19 = 19
- 0 1 1 6 1 2 0 0 2 6 4 0 0 0 0 1 2 0 0 22 170 2 2 0 | 20 = 20
- 0 0 0 0 0 2 0 0 0 8 3 0 0 0 0 0 0 0 0 6 21 220 0 0 | 21 = 21
- 0 0 1 0 0 0 0 0 1 7 1 0 2 0 0 0 0 0 0 0 1 1 207 0 | 22 = 22
- 1 0 0 0 1 0 2 3 4 0 1 1 0 0 5 1 0 0 0 0 0 0 2 194 | 23 = 23
- Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
- ==================================================================
- ## New model with new images
- ========================Evaluation Metrics========================
- # of classes: 24
- Accuracy: 0.8800
- Precision: 0.8767
- Recall: 0.8709
- F1 Score: 0.8717
- Precision, recall & F1: macro-averaged (equally weighted avg. of 24 classes)
- =========================Confusion Matrix=========================
- 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
- -------------------------------------------------------------------------------------------------
- 320 0 1 3 0 0 3 7 0 0 0 0 1 0 0 0 0 0 5 0 0 0 0 0 | 0 = 0
- 3 314 2 0 1 3 0 0 0 4 2 0 0 0 2 0 0 0 0 0 1 0 0 0 | 1 = 1
- 5 0 338 0 8 0 2 0 1 0 0 0 1 6 1 1 0 1 0 0 0 0 0 0 | 2 = 2
- 2 0 1 328 0 0 0 0 1 5 0 3 0 0 0 0 0 0 0 1 0 0 0 0 | 3 = 3
- 6 0 4 1 191 0 0 0 0 0 0 2 3 1 0 0 0 4 2 0 0 0 1 0 | 4 = 4
- 1 6 0 1 1 188 0 0 1 3 3 0 0 0 0 0 0 0 0 0 1 4 0 0 | 5 = 5
- 1 0 0 1 1 0 187 18 0 4 1 0 2 0 0 0 0 0 0 0 0 0 0 0 | 6 = 6
- 2 0 0 1 0 0 30 233 0 1 0 0 1 0 3 0 0 0 1 0 0 0 0 1 | 7 = 7
- 1 0 0 3 1 1 0 0 191 3 1 0 3 0 2 0 0 2 0 0 2 0 1 0 | 8 = 8
- 0 1 0 1 0 0 3 0 0 119 0 0 0 0 0 0 0 1 1 3 0 0 1 0 | 9 = 9
- 0 1 0 3 0 0 1 0 1 0 215 0 0 0 0 0 0 0 3 0 0 0 0 0 | 10 = 10
- 1 0 0 0 0 0 0 0 0 0 0 172 26 0 0 0 0 10 7 0 0 0 3 0 | 11 = 11
- 0 0 0 0 2 2 0 0 0 0 0 2 193 1 1 0 0 2 13 0 0 0 1 0 | 12 = 12
- 4 0 7 1 1 0 0 0 0 0 0 2 7 162 1 4 0 17 7 0 0 0 0 0 | 13 = 13
- 0 1 0 1 0 0 1 10 0 1 1 0 2 0 198 7 0 0 3 0 0 0 3 0 | 14 = 14
- 1 0 0 1 1 0 1 3 1 0 1 0 0 2 12 186 0 0 0 0 0 0 4 2 | 15 = 15
- 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 57 0 0 13 1 0 2 0 | 16 = 16
- 7 1 0 0 4 0 0 0 0 0 0 7 6 3 0 0 0 189 8 0 0 0 1 0 | 17 = 17
- 4 0 0 0 0 0 1 0 0 1 0 6 16 1 0 0 0 15 166 0 0 0 0 0 | 18 = 18
- 0 0 0 5 0 0 0 0 0 3 1 0 0 0 0 0 6 1 0 182 14 1 0 0 | 19 = 19
- 0 1 1 6 1 2 0 0 2 6 4 0 0 0 0 1 2 0 0 22 170 2 2 0 | 20 = 20
- 0 0 0 0 0 2 0 0 0 8 3 0 0 0 0 0 0 0 0 6 21 220 0 0 | 21 = 21
- 0 0 1 0 0 0 0 0 1 7 1 0 2 0 0 0 0 0 0 0 1 1 207 0 | 22 = 22
- 1 0 0 0 1 0 2 3 4 0 1 1 0 0 5 1 0 0 0 0 0 0 2 194 | 23 = 23
- Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
- ==================================================================
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