Sentence examples for recall values from inspiring English sources

We find that we reach up to 100%and87%7% average precision and recall values in the validation phase and 99%and92%2% in the testing phase.

Thus, our novel method uniquely combines these approaches, giving precision and recall values close to 50%, which indicate the significance of the proposed architecture.

However, they give low recall values (Bellon et al. [2007]).

Table 2 Recall values for the entity classes per dictionary.

When n increases, recall values rise up to 36% (with recall values of ~35% for n =3 and n = 4).

The frame-based F score is defined as the harmonic mean of precision and recall values.

We obtained precision and recall values for the last three algorithms, as seen in Table (1).

These evaluation parameters measured high in precision & recall values and low in run-time values.

In that interval, the lower recall values are obtained with α=1 (without forgetting).

The WA and UA recall values are presented in Table 1.

With these new features, we were able to achieve better recall values while maintaining high precision.