Collection Of Classification & Regression Datasets

CREATE TABLE canada_per_capita (
  "year" BIGINT,
  "per_capita_income_us" DOUBLE,
  "unnamed_2" VARCHAR
);

CREATE TABLE carprices (
  "car_model" VARCHAR,
  "mileage" BIGINT,
  "sell_price" BIGINT,
  "age_yrs" BIGINT
);

CREATE TABLE customer (
  "customer_id" VARCHAR,
  "customer_name" VARCHAR,
  "segment" VARCHAR,
  "age" BIGINT,
  "country" VARCHAR,
  "city" VARCHAR,
  "state" VARCHAR,
  "postal_code" BIGINT,
  "region" VARCHAR
);

CREATE TABLE daily_min_temperatures (
  "date" TIMESTAMP,
  "temp" DOUBLE
);

CREATE TABLE daily_total_female_births_ca (
  "date" TIMESTAMP,
  "births" BIGINT
);

CREATE TABLE hiring (
  "experience" VARCHAR,
  "test_score" DOUBLE,
  "interview_score" BIGINT,
  "salary" BIGINT
);

CREATE TABLE house_votes_84 (
  "party" VARCHAR,
  "infant" VARCHAR,
  "water" VARCHAR,
  "budget" VARCHAR,
  "physician" VARCHAR,
  "salvador" VARCHAR,
  "religious" VARCHAR,
  "satellite" VARCHAR,
  "aid" VARCHAR,
  "missile" VARCHAR,
  "immigration" VARCHAR,
  "synfuels" VARCHAR,
  "education" VARCHAR,
  "superfund" VARCHAR,
  "crime" VARCHAR,
  "dutyfree_exports" VARCHAR
);

CREATE TABLE house_price (
  "price" DOUBLE,
  "crime_rate" DOUBLE,
  "resid_area" DOUBLE,
  "air_qual" DOUBLE,
  "room_num" DOUBLE,
  "age" DOUBLE,
  "dist1" DOUBLE,
  "dist2" DOUBLE,
  "dist3" DOUBLE,
  "dist4" DOUBLE,
  "teachers" DOUBLE,
  "poor_prop" DOUBLE,
  "airport" VARCHAR,
  "n_hos_beds" DOUBLE,
  "n_hot_rooms" DOUBLE,
  "waterbody" VARCHAR,
  "rainfall" BIGINT,
  "bus_ter" VARCHAR,
  "parks" DOUBLE
);

CREATE TABLE insurance_data (
  "age" BIGINT,
  "bought_insurance" BIGINT
);

CREATE TABLE mba_admissions (
  "pre_score" DOUBLE,
  "age_in_years" BIGINT,
  "percentage_in_10_class" DOUBLE,
  "percentage_in_12_class" DOUBLE,
  "percentage_in_under_graduate" DOUBLE,
  "percentage_mba" DOUBLE,
  "post_score" DOUBLE,
  "gender" VARCHAR,
  "state" VARCHAR,
  "previous_degree" VARCHAR,
  "marital_status" VARCHAR,
  "place_you_belong_to" VARCHAR,
  "perceived_job_skill" VARCHAR,
  "specialization" VARCHAR
);

CREATE TABLE movie_classification (
  "marketing_expense" DOUBLE,
  "production_expense" DOUBLE,
  "multiplex_coverage" DOUBLE,
  "budget" DOUBLE,
  "movie_length" DOUBLE,
  "lead_actor_rating" DOUBLE,
  "lead_actress_rating" DOUBLE,
  "director_rating" DOUBLE,
  "producer_rating" DOUBLE,
  "critic_rating" DOUBLE,
  "trailer_views" BIGINT,
  "n_3d_available" VARCHAR,
  "time_taken" DOUBLE,
  "twitter_hastags" DOUBLE,
  "genre" VARCHAR,
  "avg_age_actors" BIGINT,
  "num_multiplex" BIGINT,
  "collection" BIGINT,
  "start_tech_oscar" BIGINT
);

CREATE TABLE nih_labels (
  "image_index" VARCHAR,
  "follow_up" BIGINT,
  "patient_id" BIGINT,
  "patient_age" VARCHAR,
  "patient_gender" VARCHAR,
  "view_position" VARCHAR,
  "cardiomegaly" DOUBLE,
  "emphysema" DOUBLE,
  "effusion" DOUBLE,
  "hernia" DOUBLE,
  "infiltration" DOUBLE,
  "mass" DOUBLE,
  "nodule" DOUBLE,
  "atelectasis" DOUBLE,
  "pneumothorax" DOUBLE,
  "pleural_thickening" DOUBLE,
  "pneumonia" DOUBLE,
  "fibrosis" DOUBLE,
  "edema" DOUBLE,
  "consolidation" DOUBLE,
  "fold" VARCHAR
);

CREATE TABLE salaries (
  "company" VARCHAR,
  "job" VARCHAR,
  "degree" VARCHAR,
  "salary_more_then_100k" BIGINT
);

CREATE TABLE shampoo (
  "month" VARCHAR,
  "sales" DOUBLE
);

CREATE TABLE us_airlines_monthly_aircraft_miles_flown (
  "month" VARCHAR,
  "milesmm" BIGINT
);

CREATE TABLE xrayfull (
  "image_index" VARCHAR,
  "fold" VARCHAR,
  "cardiomegaly" DOUBLE,
  "emphysema" DOUBLE,
  "effusion" DOUBLE,
  "hernia" DOUBLE,
  "infiltration" DOUBLE,
  "mass" DOUBLE,
  "nodule" DOUBLE,
  "atelectasis" DOUBLE,
  "pneumothorax" DOUBLE,
  "pleural_thickening" DOUBLE,
  "pneumonia" DOUBLE,
  "fibrosis" DOUBLE,
  "edema" DOUBLE,
  "consolidation" DOUBLE
);