Data
Ovarian

Ovarian

active ARFF Publicly available Visibility: public Uploaded 17-02-2023 by Pablo Torrijos Arenas
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  • Biology Cancer Research Data Science Health Medicine microarray
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Ovarian dataset Authors: E. Petricoin, A. Ardekani, B. Hitt, P. Levine, V. Fusaro, S. Steinberg, G. Mills, C. Simone, D. Fishman, E. Kohn, et al Please cite: ([URL](https://www.sciencedirect.com/science/article/abs/pii/S0140673602077462)): E. Petricoin, A. Ardekani, B. Hitt, P. Levine, V. Fusaro, S. Steinberg, G. Mills, C. Simone, D. Fishman, E. Kohn, et al, Use of proteomic patterns in serum to identify ovarian cancer, Lancet 359 (9306) (2002) 572-577

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MZ577.5121numeric245 unique values
0 missing
MZ698.04728numeric253 unique values
0 missing
MZ829.99808numeric250 unique values
0 missing
MZ973.3645numeric245 unique values
0 missing
MZ1128.1466numeric250 unique values
0 missing
MZ1294.3442numeric243 unique values
0 missing
MZ1471.9575numeric248 unique values
0 missing
MZ1660.9864numeric243 unique values
0 missing
MZ1861.431numeric239 unique values
0 missing
MZ2073.2912numeric238 unique values
0 missing
MZ2296.567numeric222 unique values
0 missing
MZ2531.2584numeric222 unique values
0 missing
MZ2777.3654numeric228 unique values
0 missing
MZ3034.8881numeric217 unique values
0 missing
MZ3303.8264numeric216 unique values
0 missing
MZ3584.1803numeric223 unique values
0 missing
MZ3875.9499numeric238 unique values
0 missing
MZ4179.135numeric250 unique values
0 missing
MZ4493.7358numeric232 unique values
0 missing
MZ4819.7523numeric249 unique values
0 missing
MZ5157.1843numeric240 unique values
0 missing
MZ5506.032numeric244 unique values
0 missing
MZ5866.2953numeric243 unique values
0 missing
MZ6237.9742numeric234 unique values
0 missing
MZ6621.0687numeric248 unique values
0 missing
MZ7015.5789numeric251 unique values
0 missing
MZ7421.5047numeric247 unique values
0 missing
MZ7838.8461numeric253 unique values
0 missing
MZ8267.6031numeric252 unique values
0 missing

19 properties

253
Number of instances (rows) of the dataset.
15155
Number of attributes (columns) of the dataset.
2
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.
15154
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
1
Average class difference between consecutive instances.
99.99
Percentage of numeric attributes.
59.9
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
64.03
Percentage of instances belonging to the most frequent class.
162
Number of instances belonging to the most frequent class.
35.97
Percentage of instances belonging to the least frequent class.
91
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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