Performance-Prediction
OpenML dataset with id 43812
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102637/Performance-Prediction.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of classes: 0
Number of features: 21 (numeric: 20, symbolic: 0 and in total binary: 0 )
Number of instances: 1,340
Number of instances with missing values: 11
Number of missing values: 11
Content
The Dataset contains the summary of each player.
on the basis of the summary of each player you have to predict the target variable
Target Variable:
1-Signifies whether a player has a career of 5 years or more.
0-Signifies the career of the player is shorter than 5 years.
Some features other than target variable:
GamesPlayed
PointsPerGame
3PointMade etc.
Inspiration
-This dataset is helpful in finding the features which are helpful in predicting that how long a player can play.
-Use EDA to get the insight information about the features.
-Create a classification model to predict the target variable.
This page was built for dataset: Performance-Prediction
