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Yayun Li
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Yayun's datasets

US_StockValue_Classification (7)
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,…
0 runs0 likes0 downloads0 reach0 impact
4392 instances - 221 features - 2 classes - 93949 missing values
US_StockValue_Classification (6)
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,…
0 runs0 likes0 downloads0 reach0 impact
4392 instances - 221 features - 2 classes - 93949 missing values
US_StockValue_Classification (5)
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,…
0 runs0 likes0 downloads0 reach0 impact
4392 instances - 221 features - 2 classes - 93949 missing values
US_StockValue_Classification (4)
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,…
0 runs0 likes0 downloads0 reach0 impact
4392 instances - 221 features - 2 classes - 93949 missing values
Price_Trend_Classification (7)
Apple Price Trend prediction. The target variable 'target' is a categorical variable with 3 classes: bearish (0), neutral (1), and bullish (2). This is a multiclass classification task.
0 runs0 likes0 downloads0 reach0 impact
2516 instances - 23 features - 3 classes - 0 missing values
Price_Trend_Classification (6)
Apple Price Trend prediction. The target variable 'target' is a categorical variable with 3 classes: bearish (0), neutral (1), and bullish (2). This is a multiclass classification task.
0 runs0 likes0 downloads0 reach0 impact
2516 instances - 23 features - 3 classes - 0 missing values
Price_Trend_Classification (5)
Apple Price Trend prediction. The target variable 'target' is a categorical variable with 3 classes: bearish (0), neutral (1), and bullish (2). This is a multiclass classification task.
0 runs0 likes0 downloads0 reach0 impact
2516 instances - 24 features - 3 classes - 0 missing values
Taiwan_Credit_Card_Default_Classification (2)
This dataset contains information about credit card default payments in Taiwan. The target variable indicates whether a customer will default on their payment next month. Target classes:…
0 runs0 likes0 downloads0 reach0 impact
30001 instances - 25 features - 1 classes - 30001 missing values
Taiwan_Credit_Card_Default_Classification (1)
This dataset contains information about credit card default payments in Taiwan. The target variable indicates whether a customer will default on their payment next month. Target classes:…
0 runs0 likes0 downloads0 reach0 impact
30001 instances - 25 features - 1 classes - 30001 missing values
Creditcard_default_Payment_Classification (1)
The dataset contains customers' default payments in Taiwan. The target variable 'def_next_mo' is now treated as nominal with categories: default_payment, no_default_payment.
0 runs0 likes0 downloads0 reach0 impact
30001 instances - 25 features - 1 classes - 30001 missing values
US_StockValue_Classification (3)
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,…
0 runs0 likes0 downloads0 reach0 impact
4392 instances - 222 features - 2 classes - 93949 missing values
US_StockValue_Classification (2)
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,…
0 runs0 likes0 downloads0 reach0 impact
4392 instances - 222 features - 2 classes - 96995 missing values
US_StockValue_Classification (1)
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,…
0 runs0 likes0 downloads0 reach0 impact
41683 instances - 31 features - 2 classes - 136 missing values
Loan_Status_Classification (6)
An updated version of the dataset for loan status category. The target variable 'loan_status' is now treated as nominal with categories: loan aprproved, loan rejected.
0 runs0 likes0 downloads0 reach0 impact
45000 instances - 14 features - 2 classes - 0 missing values
Loan_Status_Classification (5)
An updated version of the dataset for loan status category. The target variable 'loan_status' is now treated as nominal with categories: loan aprproved, loan rejected.
0 runs0 likes0 downloads0 reach0 impact
45000 instances - 14 features - 2 classes - 45000 missing values
Creditcard_Fraud_Classification (1)
The dataset contains transactions made by credit cards in September 2013 by European cardholders. The target variable 'class' is now treated as nominal with categories: fraud, otherwise.
0 runs0 likes0 downloads0 reach0 impact
41683 instances - 31 features - 3 classes - 28 missing values
Loan_Status_Classification (4)
The dataset contains transactions made by credit cards in September 2013 by European cardholders. The target variable 'class' is now treated as nominal with categories: fraud, otherwise.
0 runs0 likes0 downloads0 reach0 impact
41683 instances - 31 features - 3 classes - 28 missing values
Loan_Status_Classification (3)
The dataset contains transactions made by credit cards in September 2013 by European cardholders. The target variable 'class' is now treated as nominal with categories: fraud, otherwise.
0 runs0 likes0 downloads0 reach0 impact
41683 instances - 31 features - 3 classes - 28 missing values
Loan_Status_Classification (2)
An updated version of the dataset for loan status category. The target variable 'loan_status' is now treated as nominal with categories: loan aprproved, loan rejected.
0 runs0 likes0 downloads0 reach0 impact
45000 instances - 14 features - 2 classes - 45000 missing values
Loan_Status_Classification (1)
An updated version of the dataset for loan status category. The target variable 'loan_status' is now treated as nominal with categories: loan aprproved, loan rejected.
0 runs0 likes0 downloads0 reach0 impact
45000 instances - 14 features - 1 classes - 90000 missing values
Price_Trend_Classification (4)
Apple Price Trend prediction. The target variable 'target' is a categorical variable with 3 classes: bearish (0), bullish (1), and neutral (2). This is a multiclass classification task.
0 runs0 likes0 downloads0 reach0 impact
2516 instances - 23 features - 0 classes - 0 missing values
Price_Trend_Classification (3)
Apple Price Trend prediction. The target variable 'target' is a categorical variable with 3 classes: bearish (0), bullish (1), and neutral (2). This is a multiclass classification task.
0 runs0 likes0 downloads0 reach0 impact
2516 instances - 23 features - 0 classes - 0 missing values
Price_Trend_Classification (2)
Apple Price Trend prediction. The target variable 'target' is now treated as nominal with categories: bearish, bullish, and neutral.
0 runs0 likes0 downloads0 reach0 impact
2516 instances - 23 features - 0 classes - 0 missing values