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