BinarybalancedCut
Threshold Cut Point of Probability for a Binary Classifier Model
Allows to view the optimal probability cut-off point at which the Sensitivity and Specificity meets and its a best way to minimize both Type-1 and Type-2 error for a binary Classifier in determining the Probability threshold.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2 |
rolling linux/jammy R-4.5 | BinarybalancedCut_0.2.tar.gz |
13.0 KiB |
0.2 |
rolling linux/noble R-4.5 | BinarybalancedCut_0.2.tar.gz |
12.9 KiB |
0.2 |
rolling source/ R- | BinarybalancedCut_0.2.tar.gz |
1.5 KiB |
0.2 |
latest linux/jammy R-4.5 | BinarybalancedCut_0.2.tar.gz |
13.0 KiB |
0.2 |
latest linux/noble R-4.5 | BinarybalancedCut_0.2.tar.gz |
12.9 KiB |
0.2 |
latest source/ R- | BinarybalancedCut_0.2.tar.gz |
1.5 KiB |
0.2 |
2026-04-26 source/ R- | BinarybalancedCut_0.2.tar.gz |
1.5 KiB |
0.2 |
2026-04-23 source/ R- | BinarybalancedCut_0.2.tar.gz |
1.5 KiB |
0.2 |
2026-04-09 windows/windows R-4.5 | BinarybalancedCut_0.2.zip |
16.4 KiB |
0.2 |
2025-04-20 source/ R- | BinarybalancedCut_0.2.tar.gz |
1.5 KiB |