Marathon Time Predictions

Predict Marathon Results from Athletes Open Data Sources

@kaggle.girardi69_marathon_time_predictions

Table List

1 table(10.81 KB)

Marathondata

@kaggle.girardi69_marathon_time_predictions.marathondata

10.81 KB
87 rows
10 columns

id Id	marathon Marathon	name Name	category Category	km4week Km4week	sp4week Sp4week	crosstraining CrossTraining	wall21 Wall21	marathontime MarathonTime	category_250770 CATEGORY
1	Prague17	Blair MORGAN	MAM	132.8	14.43478261	nan	1.16	2.37	A
2	Prague17	Robert Heczko	MAM	68.6	13.6744186	nan	1.23	2.59	A
3	Prague17	Michon Jerome	MAM	82.7	13.52043597	nan	1.30	2.66	A
4	Prague17	Daniel Or lek	M45	137.5	12.25854383	nan	1.32	2.68	A
5	Prague17	Luk ? Mr zek	MAM	84.6	13.94505495	nan	1.36	2.74	A
6	Prague17	David Pecina	M40	42.2	13.61290323	nan	1.32	2.78	A
7	Prague17	Tomas Drabek	M40	89	12.59433962	nan	1.38	2.81	A
8	Prague17	Jan Rada	M45	106	12.69461078	nan	1.41	2.84	A
9	Prague17	Tomas Drabek	MAM	70	13.7704918	ciclista 1h	1.38	2.83	A
10	Prague17	martin ?indel ?	M45	84.2	13.36507937	nan	1.35	2.86	A


CREATE TABLE marathondata (
  "id" BIGINT,
  "marathon" VARCHAR,
  "name" VARCHAR,
  "category" VARCHAR,
  "km4week" DOUBLE,
  "sp4week" DOUBLE,
  "crosstraining" VARCHAR,
  "wall21" VARCHAR,
  "marathontime" DOUBLE,
  "category_250770" VARCHAR
);