Baselight

Human Age Prediction Synthetic Dataset

Synthetic Data for Predicting Age Based on Health and Lifestyle Factors

@kaggle.abdullah0a_human_age_prediction_synthetic_dataset

Train
@kaggle.abdullah0a_human_age_prediction_synthetic_dataset.train

  • 372.13 KB
  • 3000 rows
  • 26 columns
gender

Gender

height_cm

Height (cm)

weight_kg

Weight (kg)

blood_pressure_s_d

Blood Pressure (s/d)

cholesterol_level_mg_dl

Cholesterol Level (mg/dL)

bmi

BMI

blood_glucose_level_mg_dl

Blood Glucose Level (mg/dL)

bone_density_g_cm

Bone Density (g/cm²)

vision_sharpness

Vision Sharpness

hearing_ability_db

Hearing Ability (dB)

physical_activity_level

Physical Activity Level

smoking_status

Smoking Status

alcohol_consumption

Alcohol Consumption

diet

Diet

chronic_diseases

Chronic Diseases

medication_use

Medication Use

family_history

Family History

cognitive_function

Cognitive Function

mental_health_status

Mental Health Status

sleep_patterns

Sleep Patterns

stress_levels

Stress Levels

pollution_exposure

Pollution Exposure

sun_exposure

Sun Exposure

education_level

Education Level

income_level

Income Level

age_years

Age (years)

Male171.1483585758523486.18519686940489151/109259.4658135010471429.423016908813725157.652847938667180.13286827989647270.258.78619834245858ModerateFormernanLow-carbnannannan44.05917162252895GoodInsomnia2.7970640394252375.1423443841361167.108974826344509nanMedium89
Male172.9462059754893679.64193716768301134/112263.6302919504163426.626846636954028118.507805225793480.62953422908455550.267311891472941954.63527049435445LowCurrentOccasionalBalancedHypertensionnanHeart Disease45.31229758074918GoodNormal9.3399297921441477.2727199585642093.918489225670025UndergraduateMedium77
Female155.9454879428093649.167057864631126160/101207.846205741652420.217553168059283143.58755003135020.47348701149610730.248667459460283354.56463197526502ModerateNevernanBalancedHypertensionRegularHypertension56.24699089753607PoorInsomnia9.2346370798940288.5003857778979935.393408089658441nanMedium70
Female169.0782980682042256.017920605443216133/94253.283778696347619.595269845734144137.44858139148191.1843151379325210.513818125199331979.72296253626672ModerateNevernanBalancedDiabetesOccasionalHypertension55.196091949326245PoorInsomnia4.6934463073206677.5555113854304872.7455779858994696nanLow52
Female163.7583554738734273.96630383710946170/106236.1198988834224827.582077887657807145.328694507345260.43456163240220610.306864499053288952.47946906122648LowFormerFrequentVegetariannannannan53.02337853402232GoodNormal4.0385365426326519.4290970391251923.878435184249063UndergraduateHigh79
Male174.8916166199175679.6714826529781134/75198.7185292777726.04743211784829100.92810755311861.435352152382450.666739071945198727.90817697563522LowCurrentnanBalancedDiabetesRegularDiabetes71.33937304431403FairInsomnia3.1387378959315977.2821634861185964.413397592631039UndergraduateMedium29
Male178.5869661266012386.52186429490924178/109246.3397362601786527.128535512985376129.97707835327640.5773630098943660.263.36336032382065ModerateCurrentnanBalancednanOccasionalDiabetes48.053090687387225GoodInsomnia8.3549998018109425.5520081159946246.355806940272078High SchoolLow76
Female168.0029136465726466.5242086225926144/79222.4624399070706323.569267717560493116.806071895956281.61810000735696070.717327754445063839.530483110497606ModerateNeverFrequentVegetariannannannan83.22687465462712GoodExcessive2.5833272740961080.18075363615520865.926724582201215nanMedium26
Female164.546917464338774.4053558496201152/119204.235607716698927.480504177924512137.022296708196051.04738363607284770.505928128405319654.10512218494668ModerateFormerOccasionalLow-carbHeart DiseaseOccasionalDiabetes64.7027464231261FairInsomnia1.39243394578990389.945505107973415.639334167891315High SchoolHigh50
Female164.8394257474412864.27171087343127153/109268.598652674359623.653623235801973130.056457245474320.32109300711827820.265.60109240363954ModerateFormernanHigh-fatHeart DiseaseOccasionalHypertension57.82478871551098PoorExcessive7.2731416689574127.0248408398710934.313893814637062High SchoolHigh77

CREATE TABLE train (
  "gender" VARCHAR,
  "height_cm" DOUBLE,
  "weight_kg" DOUBLE,
  "blood_pressure_s_d" VARCHAR,
  "cholesterol_level_mg_dl" DOUBLE,
  "bmi" DOUBLE,
  "blood_glucose_level_mg_dl" DOUBLE,
  "bone_density_g_cm" DOUBLE,
  "vision_sharpness" DOUBLE,
  "hearing_ability_db" DOUBLE,
  "physical_activity_level" VARCHAR,
  "smoking_status" VARCHAR,
  "alcohol_consumption" VARCHAR,
  "diet" VARCHAR,
  "chronic_diseases" VARCHAR,
  "medication_use" VARCHAR,
  "family_history" VARCHAR,
  "cognitive_function" DOUBLE,
  "mental_health_status" VARCHAR,
  "sleep_patterns" VARCHAR,
  "stress_levels" DOUBLE,
  "pollution_exposure" DOUBLE,
  "sun_exposure" DOUBLE,
  "education_level" VARCHAR,
  "income_level" VARCHAR,
  "age_years" BIGINT
);

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