FLUSS - Prediction score calculation — fluss_score • tsmp

FLUSS - Prediction score calculation

fluss_score(gtruth, extracted, data_size)

Arguments

gtruth: an int or vector of int with the ground truth index of segments.
extracted: an int or vector of int with the extracted indexes from fluss_extract().
data_size: an int. Size of original input data.

Value

Returns the score of predicted semantic transitions compared with the ground truth. Zero is the best, One is the worst.

References

Gharghabi S, Ding Y, Yeh C-CM, Kamgar K, Ulanova L, Keogh E. Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. In: 2017 IEEE International Conference on Data Mining (ICDM). IEEE; 2017. p. 117-26.

Website: https://sites.google.com/site/onlinesemanticsegmentation/

Website: http://www.cs.ucr.edu/~eamonn/MatrixProfile.html

See also

Other Semantic Segmentations: floss_cac(), floss_extract(), floss(), fluss_cac(), fluss_extract(), fluss()

Examples

data <- mp_fluss_data$tilt_abp$data[1:1000]
w <- 10
truth <- c(945, 875)
mp <- tsmp(data, window_size = w, verbose = 0)
mp <- fluss_cac(mp)
mp <- fluss_extract(mp, 2)
score <- fluss_score(truth, mp$fluss, length(data))