On the CPU regression dataset, Fourier features with least squares had the lowest normalized RMS test error and trained faster than the binning, CVM, and ASVM entries; the exact ASVM time was second fastest but its error was highest.

On the CPU regression dataset, Fourier features with least squares had the lowest normalized RMS test error and trained faster than the binning, CVM, and ASVM entries; the exact ASVM time was second fastest but its error was highest. · CiteArk

Measurement results

0/8 assessed

0 supported0 disputed or conflicting8 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Reported	Latest observation	Evidence judgment
3.6%	—	Not assessed
20 seconds	—	Not assessed
5.3%	—	Not assessed
3 minutes	—	Not assessed
5.5%	—	Not assessed
51 seconds	—	Not assessed
11%	—	Not assessed
31 seconds	—	Not assessed

On the CPU regression dataset, Fourier features with least squares had the lowest normalized RMS test error and trained faster than the binning, CVM, and ASVM entries; the exact ASVM time was second fastest but its error was highest.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results