What does it mean when i have 0 true positives and false positives?
Hi guys,
I'm running a couple of clustering algorithms on a set with a target label. I'm measuring precision and recall, but both are 0% (zero false positives, zero true positives) for the agglomerative clustering algorithm. What does this say in general? I've never had something like that. With every measure type, it gives me 1126 TN & 1126 FN. I already downsampled the label to equal numbers, no difference.
Thanks in advance.
I'm running a couple of clustering algorithms on a set with a target label. I'm measuring precision and recall, but both are 0% (zero false positives, zero true positives) for the agglomerative clustering algorithm. What does this say in general? I've never had something like that. With every measure type, it gives me 1126 TN & 1126 FN. I already downsampled the label to equal numbers, no difference.
Thanks in advance.
0
Best Answer

jacobcybulski Member, University Professor Posts: 391 UnicornI am not sure what you are trying to achieve as we have no control over the process of clustering data, it would be a surprise if the labels and clusters aligned. If you wanted to check if the labels follow some natural segmentation, perhaps you could try to analyse the contingency table of label vs cluster classes? If this is so, try a different clustering method, e. g kmeans or DBSCAN.5
Answers
Do you have any tips how to get better performance?