Sentence examples for median runtime from inspiring English sources
The following performance metrics were used in the benchmark process: Mean error (GB) Mean error Median error (GB) Median error Mean absolute error (GB) Mean absolute percentage error Mean runtime Median runtime.
The increase in runtime as a result of an increased number of samples is moderate, with a median runtime considerably lower than an exhaustive search for only two input networks.
We examined the median runtime speed using the R package microbenchmark comparing the wgsea function pairtest for the permutation method against the VSEAMS function mvs.perm for 10 permutations or simulations, for a variable number of cases and controls.
We emphasize that, despite the underlying computational complexity, our algorithm runs very fast on biologically relevant instance sizes: our software tool heinz computes provably optimal results usually in a few minutes; profiling our implementation we measured a median runtime of 182 seconds for test runs on 1000 score-permuted graphs.
To demonstrate scalability, we also ran costscape on the full 100-taxa tree of life dataset (also using transfer and loss costs ranging from 0.5 to 2) and found that the median runtime remains <1 min. In this work, we have described new algorithms and tools for understanding the relationship between event costs and maximum parsimony reconciliations.
For a similar reason, the more complex networks, those containing xor logic, have higher median runtimes.
We measure median runtimes of 10 individual runs for each evaluation (three on the large scale analysis in Section 3.5).
We applied the prototypical implementation of our extended CSP formulation to the data set using the ITS layouts depicted in Figure 2. Runtimes were on average low with a median of 0.5 seconds.
All simulations were run 3 times and a median value taken, and in all cases the differences in runtimes between the 3 tests were found to be small.
What causes a runtime error?
