Toolkit and Datasets for Data Science

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Documentation for package ‘liver’ version 1.27

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

liver-package	liver: Foundations Toolkit and Datasets for Data Science
accuracy	Average classification accuracy
adult	adult data set
advertising	advertising data set
bank	Bank marketing data set
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
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
mae	Mean Absolute Error (MAE)
marketing	marketing data set
minmax	Min-Max scaling of numerical variables
mse	Mean Squared Error (MSE)
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