Man pages for liver
Toolkit and Datasets for Data Science
| accuracy | Average classification accuracy |
| adult | adult data set |
| advertising | advertising data set |
| bank | Bank marketing data set |
| bike_demand | Seoul Bike Sharing Demand Data |
| caravan | Caravan insurance data set |
| cereal | Cereal data set |
| churn | Churn dataset for Credit Card Customers |
| churn_mlc | Churn data set from MLC++ machine learing |
| churn_tel | churn_tel dataset |
| conf.mat | Confusion Matrix |
| conf.mat.plot | Plot Confusion Matrix |
| corona | Corona data set |
| cpu_price | CPU Specifications and Market Prices |
| credit | South German Credit Data |
| doctor_visits | Doctor Visits and Health Care Utilization Data |
| drug | drug data set |
| fertilizer | Fertilizer data set |
| find.na | find.na |
| gapminder | Gapminder Data on Global Health, Income, and Population |
| house | house data set |
| house_price | house_price dataset |
| insurance | insurance data set |
| kNN | k-Nearest Neighbour Classification |
| kNN.plot | Visualizing the Optimal Number of k |
| liver-package | liver: Foundations Toolkit and Datasets for Data Science |
| loan | Loan Application and Approval Data |
| mae | Mean Absolute Error (MAE) |
| marketing | marketing data set |
| minmax | Min-Max scaling of numerical variables |
| mortgage | Mortgage data set |
| mse | Mean Squared Error (MSE) |
| NMES1988 | Health Care Utilization Data from the 1988 NMES Survey |
| one.hot | One Hot Encoder |
| partition | Partition the data |
| prop.conf | Confdidence interval for proportion |
| red_wines | Red wines data set |
| risk | Risk data set |
| scaler | Feature scaling |
| skewness | Skewness |
| skim | Skim a data frame to get useful summary statistics |
| t_conf | Confdidence interval for mean |
| white_wines | White wines data set |
| z.conf | Confdidence interval for mean using z-distribution |
| zscore | Z-score scaling of numerical variables |
