textopenml/60-waveform-5000tabularclassificationbenchmarksyntheticuciopenmlfeature-selectionnoise-robustness

Waveform-5000 (UCI / OpenML)

Name: Waveform-5000 (UCI / OpenML)
Creator: DataBazaar
Keywords: openml/60-waveform-5000, tabular, classification, benchmark, synthetic, uci, openml, feature-selection, noise-robustness

About this data

Classic 3-class synthetic waveform classification benchmark with 5,000 instances and 40 numeric attributes (21 informative + 19 noise). Originally from Breiman et al. 1984, distributed via UCI and OpenML.

Schema

Name	Type	Description
x1	DOUBLE	Waveform sample 1; informative signal feature (x1–x21 carry signal).
x2	DOUBLE	Waveform sample 2; informative signal feature (x1–x21 carry signal).
x3	DOUBLE	Waveform sample 3; informative signal feature (x1–x21 carry signal).
x4	DOUBLE	Waveform sample 4; informative signal feature (x1–x21 carry signal).
x5	DOUBLE	Waveform sample 5; informative signal feature (x1–x21 carry signal).
x6	DOUBLE	Waveform sample 6; informative signal feature (x1–x21 carry signal).
x7	DOUBLE	Waveform sample 7; informative signal feature (x1–x21 carry signal).
x8	DOUBLE	Waveform sample 8; informative signal feature (x1–x21 carry signal).
x9	DOUBLE	Waveform sample 9; informative signal feature (x1–x21 carry signal).
x10	DOUBLE	Waveform sample 10; informative signal feature (x1–x21 carry signal).
x11	DOUBLE	Waveform sample 11; informative signal feature (x1–x21 carry signal).
x12	DOUBLE	Waveform sample 12; informative signal feature (x1–x21 carry signal).
x13	DOUBLE	Waveform sample 13; informative signal feature (x1–x21 carry signal).
x14	DOUBLE	Waveform sample 14; informative signal feature (x1–x21 carry signal).
x15	DOUBLE	Waveform sample 15; informative signal feature (x1–x21 carry signal).
x16	DOUBLE	Waveform sample 16; informative signal feature (x1–x21 carry signal).
x17	DOUBLE	Waveform sample 17; informative signal feature (x1–x21 carry signal).
x18	DOUBLE	Waveform sample 18; informative signal feature (x1–x21 carry signal).
x19	DOUBLE	Waveform sample 19; informative signal feature (x1–x21 carry signal).
x20	DOUBLE	Waveform sample 20; informative signal feature (x1–x21 carry signal).
x21	DOUBLE	Waveform sample 21; informative signal feature (x1–x21 carry signal).
x22	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x23	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x24	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x25	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x26	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x27	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x28	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x29	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x30	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x31	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x32	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x33	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x34	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x35	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x36	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x37	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x38	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x39	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
x40	DOUBLE	Pure Gaussian noise feature (x22–x40 are noise; mean 0, variance 1).
class	VARCHAR	Target waveform class: 0, 1, or 2 (roughly balanced, ~33% each).

Sample Data

Preview a sample of the data before downloading.

Free

Open dataset

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search_datasets({ query: "Waveform-5000 (UCI / OpenML)" })
// Found: cad9e458-73cf-41d2-a5c6-c34b9b674f2e
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