Data
Yolanda

Yolanda

active ARFF Publicly available Visibility: public Uploaded 06-10-2020 by Marcos de Paula Bueno
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Author: Universite Paris-Saclay Source: [original](https://automl.chalearn.org/data) - 20-02-2016 Please cite: Guyon I. et al. (2019) Analysis of the AutoML Challenge Series 2015–2018. In: Hutter F., Kotthoff L., Vanschoren J. (eds) Automated Machine Learning. The Springer Series on Challenges in Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-05318-5_10 AutoML challenge 2014. Original task: regression. Test and validation sets can be obtained on the Cha Learn website: https://automl.chalearn.org/data

101 features

101 (target)numeric89 unique values
0 missing
1numeric183671 unique values
0 missing
2numeric361549 unique values
0 missing
3numeric353956 unique values
0 missing
4numeric355567 unique values
0 missing
5numeric349383 unique values
0 missing
6numeric307136 unique values
0 missing
7numeric352601 unique values
0 missing
8numeric358693 unique values
0 missing
9numeric349892 unique values
0 missing
10numeric357326 unique values
0 missing
11numeric348287 unique values
0 missing
12numeric357065 unique values
0 missing
13numeric300330 unique values
0 missing
14numeric279601 unique values
0 missing
15numeric269889 unique values
0 missing
16numeric282813 unique values
0 missing
17numeric293500 unique values
0 missing
18numeric310604 unique values
0 missing
19numeric313990 unique values
0 missing
20numeric309247 unique values
0 missing
21numeric287870 unique values
0 missing
22numeric273410 unique values
0 missing
23numeric272491 unique values
0 missing
24numeric258119 unique values
0 missing
25numeric362384 unique values
0 missing
26numeric365047 unique values
0 missing
27numeric365353 unique values
0 missing
28numeric360858 unique values
0 missing
29numeric363555 unique values
0 missing
30numeric361237 unique values
0 missing
31numeric366958 unique values
0 missing
32numeric361155 unique values
0 missing
33numeric366334 unique values
0 missing
34numeric357051 unique values
0 missing
35numeric359754 unique values
0 missing
36numeric346801 unique values
0 missing
37numeric357498 unique values
0 missing
38numeric362184 unique values
0 missing
39numeric329456 unique values
0 missing
40numeric358936 unique values
0 missing
41numeric366674 unique values
0 missing
42numeric361309 unique values
0 missing
43numeric346947 unique values
0 missing
44numeric359497 unique values
0 missing
45numeric360577 unique values
0 missing
46numeric365470 unique values
0 missing
47numeric361512 unique values
0 missing
48numeric348285 unique values
0 missing
49numeric353649 unique values
0 missing
50numeric358578 unique values
0 missing
51numeric366549 unique values
0 missing
52numeric361314 unique values
0 missing
53numeric365101 unique values
0 missing
54numeric366964 unique values
0 missing
55numeric363864 unique values
0 missing
56numeric361352 unique values
0 missing
57numeric353032 unique values
0 missing
58numeric360114 unique values
0 missing
59numeric359260 unique values
0 missing
60numeric358976 unique values
0 missing
61numeric364591 unique values
0 missing
62numeric362901 unique values
0 missing
63numeric359941 unique values
0 missing
64numeric348541 unique values
0 missing
65numeric360861 unique values
0 missing
66numeric366900 unique values
0 missing
67numeric365964 unique values
0 missing
68numeric366333 unique values
0 missing
69numeric363674 unique values
0 missing
70numeric361986 unique values
0 missing
71numeric360445 unique values
0 missing
72numeric360803 unique values
0 missing
73numeric363341 unique values
0 missing
74numeric364179 unique values
0 missing
75numeric363420 unique values
0 missing
76numeric360361 unique values
0 missing
77numeric349261 unique values
0 missing
78numeric354317 unique values
0 missing
79numeric349941 unique values
0 missing
80numeric360026 unique values
0 missing
81numeric357480 unique values
0 missing
82numeric355415 unique values
0 missing
83numeric361765 unique values
0 missing
84numeric358751 unique values
0 missing
85numeric359368 unique values
0 missing
86numeric365318 unique values
0 missing
87numeric360567 unique values
0 missing
88numeric357816 unique values
0 missing
89numeric364215 unique values
0 missing
90numeric361115 unique values
0 missing
91numeric362708 unique values
0 missing
92numeric360558 unique values
0 missing
93numeric361669 unique values
0 missing
94numeric361744 unique values
0 missing
95numeric293546 unique values
0 missing
96numeric361153 unique values
0 missing
97numeric361494 unique values
0 missing
98numeric358905 unique values
0 missing
99numeric363706 unique values
0 missing
100numeric362843 unique values
0 missing

19 properties

400000
Number of instances (rows) of the dataset.
101
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
101
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of instances having missing values.
-10.06
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.

4 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: 101
0 runs - estimation_procedure: 33% Holdout set - target_feature: 101
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task