Table 3 Stage 1: F1-score, accuracy, precision and recall on the validation set for different models, K values and sampling methods (uni = uniform; sim = similarity). In bold, the best value for each metric. Top-left: F1-score. Top-right: Accuracy. Bottom-left: Precision. Bottom-right: Recall.
A: CNN | B: C-RNN | ||||
|---|---|---|---|---|---|
sampling | sampling | ||||
uni. | sim. | uni. | sim. | ||
K | 10 | 0.48 | 0.47 | 0.56 | 0.55 |
20 | 0.54 | 0.55 | 0.56 | 0.56 | |
30 | 0.50 | 0.51 | 0.58 | 0.58 | |
50 | 0.52 | 0.53 | 0.61 | 0.61 | |
K | 10 | 0.92 | 0.89 | 0.95 | 0.95 |
20 | 0.99 | 0.99 | 0.95 | 0.95 | |
30 | 0.93 | 0.94 | 0.95 | 0.95 | |
50 | 0.94 | 0.94 | 0.96 | 0.96 | |
K | 10 | 0.32 | 0.30 | 0.39 | 0.38 |
20 | 0.36 | 0.38 | 0.40 | 0.39 | |
30 | 0.31 | 0.33 | 0.42 | 0.42 | |
50 | 0.33 | 0.35 | 0.46 | 0.46 | |
K | 10 | 0.93 | 0.90 | 0.97 | 0.96 |
20 | 0.97 | 0.98 | 0.96 | 0.95 | |
30 | 0.92 | 0.94 | 0.95 | 0.95 | |
50 | 0.94 | 0.95 | 0.94 | 0.93 | |