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test (3)
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150 instances - 5 features - 3 classes - 0 missing values
test (1)
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150 instances - 5 features - 3 classes - 0 missing values
test (2)
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test (9)
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test (7)
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150 instances - 5 features - 3 classes - 0 missing values
TESTe216022baf-UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
iris-challenge (1)
No data.
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150 instances - 5 features - 4 classes - 31 missing values
TEST8facacd8dc-UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
test (10)
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150 instances - 5 features - 3 classes - 0 missing values
test (14)
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test (5)
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test (13)
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test (12)
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150 instances - 5 features - 3 classes - 0 missing values
test (11)
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test (8)
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test (16)
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test (24)
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150 instances - 5 features - 3 classes - 0 missing values
test (20)
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150 instances - 5 features - 3 classes - 0 missing values
test (19)
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test (21)
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test (27)
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test (33)
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test (26)
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test (36)
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test (23)
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test (28)
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test (15)
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test (39)
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test (35)
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test (29)
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test (31)
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test (22)
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test (38)
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test (32)
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test (18)
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test (17)
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test (43)
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test (40)
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test (41)
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test (49)
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150 instances - 5 features - 3 classes - 0 missing values
TEST5705382a07-UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
test (42)
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150 instances - 5 features - 3 classes - 0 missing values
test (30)
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test (47)
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test (50)
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test (37)
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test (44)
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test (51)
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150 instances - 5 features - 3 classes - 0 missing values
test (46)
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150 instances - 5 features - 3 classes - 0 missing values
test (45)
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150 instances - 5 features - 3 classes - 0 missing values
test (52)
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150 instances - 5 features - 3 classes - 0 missing values
test (48)
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150 instances - 5 features - 3 classes - 0 missing values
test (34)
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150 instances - 5 features - 3 classes - 0 missing values
test (25)
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150 instances - 5 features - 3 classes - 0 missing values
TEST9d96ec7ade-UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
TEST9ecb165245-UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
UploadTestWithURL (2)
test
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150 instances - 5 features - classes - 0 missing values
TESTa365aee568-UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
TEST82462bce44-UploadTestWithURL (1)
test
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150 instances - 5 features - classes - 0 missing values
iris (1)
This data sets consists of 3 different types of irises' (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray
40 runs0 likes0 downloads0 reach2 impact
150 instances - 5 features - 3 classes - 0 missing values
autoPrice (1)
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! All nominal attributes and instances with missing values are deleted. Price treated as the class attribute. As used by…
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159 instances - 16 features - 0 classes - 0 missing values
auto_price (1)
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics; (b) its assigned insurance risk rating,; (c) its normalized losses in use as…
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159 instances - 16 features - 0 classes - 0 missing values
triazines (1)
The problem is to learn a regression equation/rule/tree to predict the activity from the descriptive structural attributes. The data and methodology is described in detail in: - King, Ross .D., Hurst,…
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186 instances - 61 features - 0 classes - 0 missing values
lowbwt (1)
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identification code deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
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189 instances - 10 features - 0 classes - 0 missing values
wisconsin (1)
1. Title: Wisconsin Prognostic Breast Cancer (WPBC) 2. Source Information a) Creators: Dr. William H. Wolberg, General Surgery Dept., University of Wisconsin, Clinical Sciences Center, Madison, WI…
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194 instances - 33 features - 0 classes - 0 missing values
pharynx (1)
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning…
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195 instances - 11 features - 0 classes - 2 missing values
cholesterol (1)
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Cholesterol treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using…
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303 instances - 14 features - 0 classes - 6 missing values
cleveland (1)
Donor: David W. Aha (aha@ics.uci.edu) This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one…
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303 instances - 14 features - 0 classes - 6 missing values
autoMpg (1)
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
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398 instances - 8 features - 0 classes - 6 missing values
pbc (1)
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. X treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric…
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418 instances - 19 features - 0 classes - 1239 missing values
Diabetes(scikit-learn) (1)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (3)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (4)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (2)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (5)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (6)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (7)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (9)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (8)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (10)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (11)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (15)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (14)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (12)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (17)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (16)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (13)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (18)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (19)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (20)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (21)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (22)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (23)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (24)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (25)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (26)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (27)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Diabetes(scikit-learn) (28)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
irish (1)
Irish Educational Transitions Data Below are shown data on educational transitions for a sample of 500 Irish schoolchildren aged 11 in 1967. The data were collected by Greaney and Kelleghan (1984),…
40 runs0 likes0 downloads0 reach11 impact
500 instances - 6 features - 2 classes - 32 missing values