About the data

The dataset contains player statistics for NRB Rookies. There are 1100+ observations in the train dataset with 19 variables excluding the target variable (i.e. Target).

Data Description

GP: Games Played (here you might find some values in decimal, consider them to be the floor integer, for example, if the value is 12.789, the number of games played by the player is 12)

The values for given attributes are averaged over all the games played by players

MIN: Minutes Played
PTS: Number of points per game
FGM: Field goals made
FGA: Field goals attempt
FG%: field goals percent
3P Made: 3 point made
3PA: 3 points attempt
3P%: 3 point percent
FTM: Free throw made
FTA: Free throw attempts
FT%: Free throw percent
OREB: Offensive rebounds
DREB: Defensive rebounds
REB: Rebounds
AST: Assists
STL: Steals
BLK: Blocks
TOV: Turnovers
Target: 0 if career years played < 5, 1 if career years played >= 5

Note: Don't hesitate to take the help of Google for the terms that are unfamiliar to you.

How to download and read the dataset?

In the 'Data' section of the challenge, page check the 'Resources' subsection. For reference, see the screenshot below (the red box):

Click on the dataset that you want to download.
After you have downloaded the dataset, you can read the dataset in your jupyter notebook using the read_csv() function. Provide the appropriate path of the data located on your machine. For example, if the data is located in the same location where you are executing your jupyter notebook, you can read the dataset as:
train_data = pd.read_csv('Train data.csv')

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

prediction

1

0

0

0

0

1

0

1

.

.

.

Etc.

Note that the header name should be ‘prediction’ else it will throw an evaluation error.

Notebook Submission

Steps to follow to submit your notebook:

Go to the Notebook section on this challenge page
Click on the 'Upload Notebook' button in the top left corner as shown in the image below:
Make sure to make the visibility of your notebook as 'public' while uploading the notebook.
Provide Notebook Title, Summary, add some tags, go to next, chose a file and click on Upload.

Acknowledgment

The dataset is sourced from data world.

Predict Career Longevity for NBA Rookies

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