Data Report — Chronic Kidney Disease

Metadata file: metadata.json
JSON-LD (schema.org/Dataset): dataset.json
SemMap JSON-LD: dataset.semmap.json
SemMap HTML: dataset.semmap.html
Rows: 158
Columns: 25
Discrete: 11 | Continuous: 14

Dataset metadata

Name: Chronic Kidney Disease (UCI id 336)

Description

Clinical records for early detection of CKD (subset of variables mapped).

Links:
URL: https://archive.ics.uci.edu/dataset/336

Variables and summary

variable	description	inferred	declared	dist
age		continuous	Integer	49.5633 ± 15.5122 [6, 39.25, 50.5, 60, 83]
bp	blood pressure	continuous	Integer	74.0506 ± 11.1754 [50, 60, 80, 80, 110]
sg	specific gravity	continuous	Categorical	1.0199 ± 0.0055 [1.005, 1.02, 1.02, 1.025, 1.025]
al	albumin	continuous	Categorical	0.7975 ± 1.4131 [0, 0, 0, 1, 4]
su	sugar	continuous	Categorical	0.2532 ± 0.8134 [0, 0, 0, 0, 5]
rbc	red blood cells	discrete	Binary	140 (88.61%)
pc	pus cell	discrete	Binary	129 (81.65%)
pcc	pus cell clumps	discrete	Binary	144 (91.14%)
ba	bacteria	discrete	Binary	146 (92.41%)
bgr	blood glucose random	continuous	Integer	131.3418 ± 64.9398 [70, 97, 115.5, 131.75, 490]
bu	blood urea	continuous	Integer	52.5759 ± 47.3954 [10, 26, 39.5, 49.75, 309]
sc	serum creatinine	continuous	Continuous	2.1886 ± 3.0776 [0.4, 0.7, 1.1, 1.6, 15.2]
sod	sodium	continuous	Integer	138.8481 ± 7.4894 [111, 135, 139, 144, 150]
pot	potassium	continuous	Continuous	4.6367 ± 3.4764 [2.5, 3.7, 4.5, 4.9, 47]
hemo	hemoglobin	continuous	Continuous	13.6873 ± 2.8822 [3.1, 12.6, 14.25, 15.775, 17.8]
pcv	packed cell volume	continuous	Integer	41.9177 ± 9.1052 [9, 37.5, 44, 48, 54]
wbcc	white blood cell count	continuous	Integer	8475.9494 ± 3126.8802 [3800, 6525, 7800, 9775, 26400]
rbcc	red blood cell count	continuous	Continuous	4.8918 ± 1.0194 [2.1, 4.5, 4.95, 5.6, 8]
htn	hypertension	discrete	Binary	34 (21.52%)
dm	diabetes mellitus	discrete	Binary	28 (17.72%)
cad	coronary artery disease	discrete	Binary	11 (6.96%)
appet	appetite	discrete	Binary	139 (87.97%)
pe	pedal edema	discrete	Binary	20 (12.66%)
ane	anemia	discrete	Binary	16 (10.13%)
class	ckd or not ckd	discrete	Binary	115 (72.78%)

Fidelity summary

model	backend	disc_jsd_mean	disc_jsd_median	cont_ks_mean	cont_w1_mean
MetaSyn	metasyn	0.0398	0.035	0.301	43.6132
clg_mi2	pybnesian	0.0544	0.0502	0.2405	49.3847
semi_mi5	pybnesian	0.0419	0.0411	0.2446	59.6372
ctgan_fast	synthcity	0.1475	0.1492	0.6607	880.088
tvae_quick	synthcity	0.1676	0.1862	0.2515	74.6213

Models

UMAP	Details	Structure
	Real data
	MetaSyn GMF: metasyn_gmf.json Synthetic sample (SemMap Parquet): synthetic_metasyn.semmap.parquet
	Model: clg_mi2 (pybnesian) Seed: 42, rows: 126 Params: `{"max_indegree": 2, "operators": ["arcs"], "score": "bic", "type": "clg"}` Synthetic CSV Per-variable metrics Metrics JSON
	Model: semi_mi5 (pybnesian) Seed: 42, rows: 126 Params: `{"max_indegree": 5, "operators": ["arcs"], "score": "bic", "type": "semiparametric"}` Synthetic CSV Per-variable metrics Metrics JSON
	Model: ctgan_fast (synthcity) Seed: 42, rows: 1000 Params: `{"batch_size": 256, "n_iter": 5}` Synthetic CSV Per-variable metrics Metrics JSON
	Model: tvae_quick (synthcity) Seed: 42, rows: 1000 Params: `{"batch_size": 256}` Synthetic CSV Per-variable metrics Metrics JSON

Data Report — Chronic Kidney Disease

Dataset metadata

Description

Variables and summary

Fidelity summary

Models

Real data

MetaSyn

Model: clg_mi2 (pybnesian)

Model: semi_mi5 (pybnesian)

Model: ctgan_fast (synthcity)

Model: tvae_quick (synthcity)