neighbors/10_nn_linear_FixedDiscreteCandidates/512

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 2.0440 us 2.0500 us 2.0555 us
0.9977522 0.9981429 0.9978076
Mean 2.0436 us 2.0609 us 2.0858 us
Std. Dev. 14.653 ns 63.598 ns 99.792 ns
Median 2.0451 us 2.0495 us 2.0537 us
MAD 6.1121 ns 10.509 ns 18.653 ns

Additional Plots:

Understanding this report:

The plot on the left displays the average time per iteration for this benchmark. The shaded region shows the estimated probabilty of an iteration taking a certain amount of time, while the line shows the mean. Click on the plot for a larger view showing the outliers.

The plot on the right shows the linear regression calculated from the measurements. Each point represents a sample, though here it shows the total time for the sample rather than time per iteration. The line is the line of best fit for these measurements.

See the documentation for more details on the additional statistics.

Change Since Previous Benchmark

Additional Statistics:

Lower bound Estimate Upper bound
Change in time -2.6004% -1.5736% -0.2205% (p = 0.01 < 0.05)
Change within noise threshold.

Understanding this report:

The plot on the left shows the probability of the function taking a certain amount of time. The red curve represents the saved measurements from the last time this benchmark was run, while the blue curve shows the measurements from this run. The lines represent the mean time per iteration. Click on the plot for a larger view.

The plot on the right shows the two regressions. Again, the red line represents the previous measurement while the blue line shows the current measurement.

See the documentation for more details on the additional statistics.