Datasets:

mstz
/

student_performance

is_male bool	ethnicity string	parental_level_of_education int64	has_standard_lunch bool	has_completed_preparation_test bool	reading_score int64	writing_score int64	has_passed_math_exam int64
false	group D	2	true	true	70	78	0
true	group D	5	true	false	93	87	1
false	group D	2	false	false	76	77	0
true	group B	2	false	false	70	63	1
false	group D	5	true	false	85	86	1
true	group C	0	true	false	57	54	1
false	group E	5	true	false	83	80	1
false	group B	0	true	false	61	58	0
true	group C	0	true	false	75	73	1
false	group C	3	true	true	69	77	0
true	group B	0	true	false	69	69	1
true	group B	4	true	false	50	49	0
true	group B	3	false	false	74	76	1
true	group A	2	true	false	73	70	1
true	group C	4	false	false	54	52	0
true	group E	4	false	false	46	43	0
false	group C	2	false	false	47	41	0
false	group C	1	true	false	92	81	1
false	group E	5	false	false	82	85	1
false	group D	5	true	true	71	74	1
true	group C	1	false	false	66	62	1
false	group D	5	true	true	71	76	1
false	group B	2	true	false	71	71	1
true	group E	5	true	false	88	86	1
true	group D	5	true	true	85	88	1
true	group B	2	true	false	83	72	1
true	group D	1	false	false	52	51	0
true	group D	0	true	false	66	59	1
false	group E	5	true	false	79	71	1
true	group D	5	true	false	87	86	1
false	group B	5	true	true	81	85	1
false	group D	5	false	false	76	79	1
false	group B	1	false	true	78	75	1
false	group D	4	false	false	35	37	0
true	group D	1	true	true	82	82	1
false	group A	0	true	false	53	54	0
false	group E	2	false	false	74	75	1
true	group D	5	true	true	66	72	1
true	group C	5	false	true	85	87	1
true	group E	4	true	false	85	78	1
true	group C	5	false	true	46	48	0
true	group C	5	true	true	82	77	1
true	group B	1	true	false	82	72	1
true	group D	2	true	false	73	67	1
false	group B	1	true	false	56	54	0
true	group C	3	true	false	71	65	1
true	group A	5	true	true	82	90	1
true	group C	2	true	true	76	68	1
false	group E	1	true	false	52	56	0
true	group D	0	true	true	77	80	1
false	group E	1	false	true	77	74	1
false	group E	4	false	true	83	84	1
true	group D	0	true	false	93	84	1
false	group B	2	true	true	72	72	1
true	group C	1	true	false	67	63	1
false	group C	2	true	false	64	61	1
false	group D	4	true	false	75	80	1
false	group E	0	true	true	93	93	1
false	group C	3	true	false	86	78	1
true	group C	0	true	false	66	66	1
true	group D	0	true	true	74	75	1
true	group C	0	false	true	69	63	1
false	group D	2	false	false	83	80	1
false	group C	5	true	false	68	73	0
false	group B	1	false	false	74	71	1
false	group B	5	false	false	34	36	0
true	group C	1	false	false	77	66	1
false	group B	0	false	true	91	88	1
false	group C	1	false	false	62	57	0
true	group D	5	true	false	70	73	1
true	group C	0	true	true	81	78	1
false	group D	2	false	true	82	80	1
false	group C	0	true	false	33	33	0
false	group D	0	false	true	58	59	0
true	group E	2	true	true	49	52	1
true	group B	3	true	false	46	46	1
true	group B	5	false	true	91	89	1
true	group C	2	true	false	61	59	0
true	group A	5	true	true	75	74	1
true	group B	1	true	false	61	57	1
true	group C	5	true	false	80	81	1
true	group D	4	false	true	93	95	1
false	group A	2	true	false	46	42	0
true	group C	2	true	true	77	76	1
false	group D	2	true	false	89	89	1
true	group D	4	true	false	97	91	1
false	group D	0	true	true	68	68	0
true	group E	2	true	false	79	85	1
true	group B	4	true	false	65	60	1
true	group C	3	true	false	62	58	1
true	group C	5	false	true	67	61	1
false	group C	3	true	false	74	75	1
true	group C	2	true	false	51	38	0
true	group D	2	true	false	75	74	1
false	group C	2	true	false	88	83	1
false	group C	5	true	true	96	97	1
false	group D	2	true	true	84	87	1
false	group B	5	true	false	80	78	1
false	group B	1	false	true	90	95	1
true	group C	2	false	false	62	64	1

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Student performance

The Student performance dataset from Kaggle.

Configuration	Task	Description
encoding		Encoding dictionary showing original values of encoded features.
math	Binary classification	Has the student passed the math exam?
writing	Binary classification	Has the student passed the writing exam?
reading	Binary classification	Has the student passed the reading exam?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/student_performance", "math")["train"]

Features

Feature	Type
`is_male`	`bool`
`ethnicity`	`string`
`parental_level_of_education`	`int8`
`has_standard_lunch`	`bool`
`has_completed_preparation_test`	`bool`
`reading_score`	`int64`
`writing_score`	`int64`
`math_score`	`int64`

Downloads last month: 93

Size of downloaded dataset files:

104 kB

Size of the auto-converted Parquet files:

24.4 kB

Number of rows:

3,000