Hill, LaPan, Li and Haney (2007) develop models to predict which cells in a high content screen were well segmented.
The data consists of 119 imaging measurements on 2019. The original analysis used 1009 for training and 1010 as a test set (see the column called Case).
The outcome class is contained in a factor variable called Class with levels "PS" for poorly segmented and "WS" for well segmented.
A pre-processed version of these data can be found in the caret package.
data(segmentationOriginal)data frame of cells