Data
physicochemical-protein

physicochemical-protein

active ARFF CC-BY Visibility: public Uploaded 19-05-2021 by Meilina Reksoprodjo
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Author: Prashant Singh Rana Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Physicochemical+Properties+of+Protein+Tertiary+Structure) - 2020 Please cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) Physicochemical Properties of Protein Tertiary Structure Data Set This is a data set of Physicochemical Properties of Protein Tertiary Structure. The data set is taken from CASP 5-9. There are 45730 decoys and size varying from 0 to 21 armstrong. ### Attribute Information: RMSD-Size of the residue. F1 - Total surface area. F2 - Non polar exposed area. F3 - Fractional area of exposed non polar residue. F4 - Fractional area of exposed non polar part of residue. F5 - Molecular mass weighted exposed area. F6 - Average deviation from standard exposed area of residue. F7 - Euclidian distance. F8 - Secondary structure penalty. F9 - Spacial Distribution constraints (N,K Value).

10 features

RMSDnumeric15903 unique values
0 missing
F1numeric39916 unique values
0 missing
F2numeric39863 unique values
0 missing
F3numeric20089 unique values
0 missing
F4numeric40374 unique values
0 missing
F5numeric41868 unique values
0 missing
F6numeric39155 unique values
0 missing
F7numeric39450 unique values
0 missing
F8numeric341 unique values
0 missing
F9numeric37299 unique values
0 missing

19 properties

45730
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
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.
10
Number of numeric attributes.
0
Number of nominal attributes.
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.
0
Percentage of instances having missing values.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: RMSD
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