The presence of these tephras >4000 km from their sources affords an opportunity for continent-wide correlations by providing a high-precision chronological benchmark that is otherwise often lacking in North American studies of palaeoenvironmental change and deglaciation, megafaunal extinction and palaeoindian colonisation.
The Jaccard coefficient, recall, and precision of the benchmark and testing datasets considered in this work are given in Figures 1, 7, 8, 9, and 10.
The relative closeness of SCN composition allows the use of the high precision GC for benchmarking results from TBP.
While the efforts aimed at accomplishing this goal are often based on new materials/designs of photoanodes, a quantitative evaluation of these designs relies on the precision of the benchmarking measurements of electron lifetimes.
Pre-diagnosis predictions showed improvement over the Mitchell et al. [24] benchmark on precision and specificity.
Our experiments were not designed to derive this benchmark with precision.
The benchmark quantities precision and recall were used as performance measures.
Most surprisingly, a value of in the low hundreds can actually increase precision on some query benchmarks.
Figure 2 Performance comparison between structural benchmarks, using precision vs recall and F-score (inset).
For benchmarking the precision of contact prediction methods, we use the same set of 150 Pfam families with ≥ 1000 sequences and high-resolution structures (≤ 1.9 Å) with identical input alignments as used in the PSICOV (Jones et al., 2012) method.
We used standard NER evaluation measures to benchmark performance, namely, precision (P), recall (R) and F1 measure (F1).
