Research Article
Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model
Table 2
Prediction error statistics with every possible
input.
| SEQ | Conf. | Weight | Average error | Weighted A. E. |
| B A B A | 0.1804 | 1 | 0 | 0 | D C A A | 0.0687 | 0.3808 | 2.8889 | 1.1001 | D C A D | 0.0013 | 0.0074 | 2.25 | 0.0166 | D C B D | 0.005 | 0.0279 | 1.8 | 0.0503 | D D D C | 0.0398 | 0.2207 | 4 | 0.8828 | D D D B | 0.0487 | 0.2698 | 0 | 0 | D D C D | 0.0122 | 0.0674 | 3.3333 | 0.2248 | D D C C | 0.0984 | 0.5456 | 2.5714 | 1.4031 | D D A A | 0.0702 | 0.3889 | 2.2222 | 0.8642 | D D A B | 0.0468 | 0.2592 | 4 | 1.0370 | B A B B | 0.0396 | 0.2195 | 1.8571 | 0.4077 | A D C C | 0.1313 | 0.7277 | 0 | 0 | A D C D | 0.0676 | 0.3749 | 0 | 0 | A C D A | 0.0879 | 0.4873 | 2.25 | 1.0964 | A C A A | 0.1032 | 0.572 | 2.4444 | 1.3983 |
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