Name:

Description:

The data have been organized in two different but related classification tasks.

• column3Cweka.csv (file with three class labels)

  • The first task consists in classifying patients as belonging to one out of three categories: Normal (100 patients), Disk Hernia (60 patients) or Spondylolisthesis (150 patients).

• column2Cweka.csv (file with two class labels)

  • For the second task, the categories Disk Hernia and Spondylolisthesis were merged into a single category labelled as 'abnormal'. Thus, the second task consists in classifying patients as belonging to one out of two categories: Normal (100 patients) or Abnormal (210 patients).

Variables:

Field Descriptions:

Each patient is represented in the data set by six biomechanical attributes derived from the shape and orientation of the pelvis and lumbar spine (each one is a column):

• pelvic incidence

• pelvic tilt

• lumbar lordosis angle

• sacral slope

• pelvic radius

• grade of spondylolisthesis

Link To Google Sheets:

Rows:

Columns:

Files:

License Type:

References/Notes/Attributions:

Acknowledgments

Many thanks to GetOldTweets for providing an excellent scraper.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

R Coding Interface: