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Bayes Factor

Bayes Factor is defined as

K=Pr(D∣M1)Pr(D∣M2)K=\frac{Pr(D|M_1)}{Pr(D|M_2)} =∫Pr(θ1∣M1)Pr(D∣θ1,M1)dθ1∫Pr(θ2∣M2)Pr(D∣θ2,M2)dθ2=\frac{\int Pr(\theta_1|M_1)Pr(D|\theta_1, M_1)d\theta_1}{\int Pr(\theta_2|M_2)Pr(D|\theta_2, M_2)d\theta_2}

lg⁡\lgKKStrength of evidence
0 to 1/21 to 3.2Not worth more than a bare mention
1/2 to 13.2 to 10Substantial
1 to 210 to 100Strong
> 2> 100Decisive

Reference: https://en.wikipedia.org/wiki/Bayes_factor