Data
US_StockValue_Classification

US_StockValue_Classification

active ARFF CC BY 4.0 Visibility: public Uploaded 22-11-2024 by Yayun Li
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
This dataset collects 200+ financial indicators for all the stocks of the US stock market.. The target variable 'class' is now treated as nominal with categories: stock_value_increase, stock_value_decrease.

31 features

class (target)nominal1 unique values
109 missing
timenumeric21987 unique values
0 missing
v1numeric40727 unique values
0 missing
v2numeric40727 unique values
0 missing
v3numeric40726 unique values
1 missing
v4numeric40726 unique values
1 missing
v5numeric40726 unique values
1 missing
v6numeric40726 unique values
1 missing
v7numeric40726 unique values
1 missing
v8numeric40726 unique values
1 missing
v9numeric40726 unique values
1 missing
v10numeric40726 unique values
1 missing
v11numeric40726 unique values
1 missing
v12numeric40726 unique values
1 missing
v13numeric40726 unique values
1 missing
v14numeric40726 unique values
1 missing
v15numeric40726 unique values
1 missing
v16numeric40726 unique values
1 missing
v17numeric40726 unique values
1 missing
v18numeric40726 unique values
1 missing
v19numeric40726 unique values
1 missing
v20numeric40726 unique values
1 missing
v21numeric40726 unique values
1 missing
v22numeric40726 unique values
1 missing
v23numeric40726 unique values
1 missing
v24numeric40726 unique values
1 missing
v25numeric40726 unique values
1 missing
v26numeric40726 unique values
1 missing
v27numeric40726 unique values
1 missing
v28numeric40726 unique values
1 missing
amountnumeric11105 unique values
1 missing

19 properties

41683
Number of instances (rows) of the dataset.
31
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
136
Number of missing values in the dataset.
1
Number of instances with at least one value missing.
30
Number of numeric attributes.
1
Number of nominal attributes.
3.23
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.01
Percentage of missing values.
0.99
Average class difference between consecutive instances.
96.77
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
3.23
Percentage of nominal attributes.
99.74
Percentage of instances belonging to the most frequent class.
41574
Number of instances belonging to the most frequent class.
0.26
Percentage of instances belonging to the least frequent class.
109
Number of instances belonging to the least frequent class.
1
Number of binary attributes.

0 tasks

Define a new task