enc_U2FsdGVkX18ZWeFj6u4wYPuqPPWc3ZCMT0SXDcY0eGc=_enc
Each rule is defined by the following fields, in addition to the decision tree that we will present later:enc_U2FsdGVkX1+vTLMF2T0mboIfCrEAFaYImozUYM3cWcCxg0i6HA6eLk3qCElmQPeo_enc
enc_U2FsdGVkX1/KEqu9fCyRrPm3WeN49BqAF9pqTPGRuYFFk07xIAhkdoJdWSj/D+JanIBeaUo/6K1XpGxJRnzG+P4+N4ovP+ObBfnThiYI3LZv+4KzBg1TfgvGgJ6a+43TakPZehFd+NIya4eJ1KI0FLm+IDMlYIEAIVd9t6SPN16GhLkADhEEwQm7D5s0rO1kkaw+JDgNwPtLWKqeE8qgiQ==_enc Using this set of rules applied to a transaction:
Here first we compute the weighted average which is
(80 + 0 + 2 * 100) / 4 = 70.
Then we take the max of the rules without weight and this average which leads to max(70, 80) = 80.
The final score for the transaction will be 80 and the transaction will be delayed (if transactions are delayed for score between 70 and 90, see review page).
enc_U2FsdGVkX1/ZlTU/eWrYF9fD/ESGvqcLSXEHDMygXoA=_enc
enc_U2FsdGVkX188Rg+HeMZwaI0pN8bIegFL6UkTTFEubZTvy6cgS+GIOYtb7HCb0SEjhPn/eAWWTZRMA3oZOpJiu57VLd5tcKfhRnG+uJ5i9rreO8ZIUWb6kFN6NtFMfAuVVE2/LKrVlqYS3d9o8YnW1OVKHSBfHzeXzF3MXjgapsYiIlV3U2FeJPmAy/uwgcTU_enc
Example of a rule decision tree (Go!Risk)
enc_U2FsdGVkX18emSOuXN9ONWfm/Xxa+72fFGXMHJW55xM=_enc
A matrix node will compare a variable with a set of values, and output one of four values: “high”, “medium”, “low” or “undefined”. The matrix node works onstrings, numbers and booleans.
It has the following options:
enc_U2FsdGVkX18zq3EHIHtfPl36+SjIzDZ2yzU26rmvXyU=_enc
The comparison node will compare two variables, and output one of three values: “yes”, “no” or “undefined”. The comparison node works onstrings, numbers and booleans.
It has the following options:
enc_U2FsdGVkX18T4gVcJR7uUVqGQ4G/RS6iwgX8xL+ZePs=_enc
The formula node will compute a number result from multiple variables, compare it to a value and output one of three values: “yes”, “no” or “undefined”. The formula node works onnumbers and booleans. Booleans are converted to 0 or 1.
It has the following options: