Research Article
Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms
Table 2
Achievable error with different degrees of guarantee (populations composed of 25 individuals).
| Guarantee degree | G2 | G3 | G4 | G5 | G6 | G7 | G8 | G9 | G10 |
| 95% | 2.06 | 1.72 | 1.58 | 1.51 | 1.36 | 0.888 | 0.79 | 0.752 | 0.585 | 90% | 1.27 | 1.08 | 0.987 | 0.933 | 0.848 | 0.582 | 0.525 | 0.497 | 0.398 | 85% | 0.92 | 0.782 | 0.719 | 0.673 | 0.615 | 0.438 | 0.399 | 0.357 | 0.307 | 80% | 0.711 | 0.607 | 0.559 | 0.519 | 0.476 | 0.349 | 0.32 | 0.301 | 0.25 | 75% | 0.57 | 0.488 | 0.45 | 0.415 | 0.383 | 0.288 | 0.265 | 0.248 | 0.209 | 70% | 0.467 | 0.402 | 0.371 | 0.34 | 0.314 | 0.242 | 0.224 | 0.209 | 0.178 | 65% | 0.388 | 0.335 | 0.31 | 0.283 | 0.262 | 0.206 | 0.192 | 0.179 | 0.154 | 60% | 0.326 | 0.283 | 0.261 | 0.237 | 0.22 | 0.177 | 0.165 | 0.154 | 0.134 | 55% | 0.275 | 0.239 | 0.222 | 0.2 | 0.186 | 0.152 | 0.143 | 0.133 | 0.117 | 50% | 0.233 | 0.203 | 0.188 | 0.169 | 0.158 | 0.132 | 0.124 | 0.115 | 0.102 |
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