Imbalanced data with 1000 positives and 10000 negatives.

A list contains labels and scores of five different performance levels. All scores were randomly generated.

data(IB1000)

Format

A list with 8 items.

np

number of positives: 1000

nn

number of negatives: 10000

labels

labels of observed data

random_scores

scores of a random performance level

poor_er_scores

scores of a poor early retrieval level

good_er_scores

scores of a good early retrieval level

excel_scores

scores of an excellent level

perf_scores

scores of the perfect level