movies: FiveThirtyEight's Movie Scores

In bearloga/MLPUGS: Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

Description

This dataset contains every film that has a Rotten Tomatoes rating, a RT User rating, a Metacritic score, a Metacritic User score, and IMDb score, and at least 30 fan reviews on Fandango. The data from Fandango was pulled on Aug. 24, 2015. It is licensed under CC BY 4.0

Usage

movies

movies_train

movies_test

Format

A data.frame with 146 rows and 9 columns. The training data contains 87 movies, while the test set contains 59 movies. The first three columns of the training and test sets indicate the multiple labels: 1 if the movie got a rating equal to or greater than 80% on Metacritic, Rotten Tomatoes, and Fandango; and 0 otherwise.

Author(s)

FiveThirtyEight

Source

https://github.com/fivethirtyeight/data/tree/master/fandango

bearloga/MLPUGS documentation built on March 7, 2020, 11:02 a.m.