Data
company_quality_and_valuation_finance

company_quality_and_valuation_finance

active ARFF CC BY 4.0 Visibility: public Uploaded 21-11-2024 by Anna Wiewer
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This dataset is designed to evaluate companies based on quality and valuation metrics. It uses a two-stage scoring system to classify companies into categories like 'High Quality, Fair Valuation'. The dataset is ideal for financial analysis and investment decision-making.

11 features

total_score (target)nominal6 unique values
0 missing
companystring719 unique values
0 missing
mcapnumeric719 unique values
0 missing
operating marginnumeric713 unique values
0 missing
net debt / ebitnumeric718 unique values
0 missing
roenumeric715 unique values
0 missing
croicnumeric710 unique values
0 missing
p/fcfnumeric719 unique values
0 missing
revenuesnumeric717 unique values
0 missing
ev/fcfnumeric719 unique values
0 missing
gross marginnumeric714 unique values
0 missing

19 properties

719
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
6
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.
9
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.2
Average class difference between consecutive instances.
81.82
Percentage of numeric attributes.
0.02
Number of attributes divided by the number of instances.
9.09
Percentage of nominal attributes.
24.2
Percentage of instances belonging to the most frequent class.
174
Number of instances belonging to the most frequent class.
6.12
Percentage of instances belonging to the least frequent class.
44
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: total_score
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