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Monte Carlo Simulation of Consistency Using 100,000 Runs.
| L | Regular SVM | ISVM | Weston-Watkins |
|---|---|---|---|
| 2 | 0% | 0% | 0% |
| 3 | 5 | 0 | 15 |
| 4 | 25 | 10 | 39 |
| 5 | 37 | 17 | 48 |
Notes: We found 0% consistency errors, not surprisingly, for binary problems. The ISVM is also consistent for L = 3, and then it becomes inconsistent. Note that the probability of having a harder problem increases with the number of classes.
