Collection Of Classification & Regression Datasets

marketing_expense Marketing Expense	production_expense Production Expense	multiplex_coverage Multiplex Coverage	budget Budget	movie_length Movie Length	lead_actor_rating Lead Actor Rating	lead_actress_rating Lead Actress Rating	director_rating Director Rating	producer_rating Producer Rating	critic_rating Critic Rating	trailer_views Trailer Views	n_3d_available 3D Available	time_taken Time Taken	twitter_hastags Twitter Hastags	genre Genre	avg_age_actors Avg Age Actors	num_multiplex Num Multiplex	collection Collection	start_tech_oscar Start Tech Oscar
20.1264	59.62	0.462	36524.125	138.7	7.825	8.095	7.91	7.995	7.94	527367	YES	109.6	223.84	Thriller	23	494	48000	1
20.5462	69.14	0.531	35668.655	152.4	7.505	7.65	7.44	7.47	7.44	494055	NO	146.64	243.456	Drama	42	462	43200
20.5458	69.14	0.531	39912.675	134.6	7.485	7.57	7.495	7.515	7.44	547051	NO	147.88	2022.4	Comedy	38	458	69400	1
20.6474	59.36	0.542	38873.89	119.3	6.895	7.035	6.92	7.02	8.26	516279	YES	185.36	225.344	Drama	45	472	66800	1
21.381	59.36	0.542	39701.585	127.7	6.92	7.07	6.815	7.07	8.26	531448	NO	176.48	225.792	Drama	55	395	72400	1
20.597	59.36	0.542	35718.65	132.2	6.89	7.1	6.885	7.005	7.26	498425	YES	143.48	284.592	Comedy	53	460	57400
21.7658	70.74	0.476	33396.66	140.1	7.065	7.265	7.15	7.4	8.96	459241	YES	139.16	243.664	Thriller	41	522	45800
22.891	70.74	0.476	34285.46	169.6	6.98	7.075	6.875	7.17	7.96	400821	NO	116.84	243.536	Drama	56	571	44200
24.2248	70.74	0.476	31280.205	173.5	6.91	7.075	6.85	7	7.96	295168	YES	118.6	242.64	Comedy	55	564	33000	1
23.4008	70.74	0.476	33352.22	159.4	6.665	6.725	6.575	6.855	7.96	412012	YES	189.56	283.024	Thriller	45	508	37800	1


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
);