Label biasing using interpolation

A system configured to perform label biasing of data associated with one of a plurality of closed deals using interpolation, comprising:

• memory comprising a set of instructions;
• and
• at least one processor, wherein the set of instructions are configured to cause at least one processor to execute:
• retrieving training data from a data storage;
• sampling the training data periodically to capture one or more stages for each of a plurality of open deals;
• computing a label for each of the plurality of open deals and a plurality of closed deals, wherein the label is computed with a ‘1’ or ‘0’;
• training a model on the periodically sampled training data associated with the plurality of closed deals, wherein the training of the model comprises training the model on weekly sampled data of at least one of the plurality of the closed deals using a gradient boosting algorithm and the labels for the plurality of closed deals to reduce label bias and improve overall performance of the model;
• and
• generating a score for each of the plurality of closed deals and for each of the plurality of open deals using the trained model, wherein
• the computing of the label comprises defining the label as an amount of activity that is captured using:
• label
• m
• =
• 0
• .
• 5
• +
• 0
• .
• 5
• *
• (
• ∑
• k
• =
• 1
• m
• ⁢
• 1
• ∑
• i
• =
• 1
• n
• ⁢
• 1
• )
• *
• I
• A
• where
• IA=1 if deal is won
• IA=−1 if deal is lost, and
• m represents a period of time for when the label is evaluated;
• or
• the computing of the label comprises, responsive to an activity along with a qualitative nature of the activity being associated together, defining the label as an amount of the activity that is captured using:
• label
• m
• =
• 0
• .
• 5
• +
• 0
• .
• 5
• *
• (
• ∑
• k
• =
• 1
• m
• ⁢
• α
• k
• ∑
• i
• =
• 1
• n
• ⁢
• α
• i
• )
• *
• I
• A
• where αi represents a polarity and qualitative value of an ith activity,
• for numerator k=1−m represents activities happening until as-of-date, and
• denominator i=1−n represents overall activity on deals-lifetime.

A computer program embodied on a non-transitory computer-readable medium, the computer program is configured to perform label biasing of data associated with one of a plurality of closed deals using interpolation, and cause at least one processor to execute:

• retrieving training data from a data storage;
• sampling the training data periodically to capture one or more stages for each of a plurality of open deals;
• computing a label for each of the plurality of open deals and a plurality of closed deals, wherein the label is computed with a ‘1’ or ‘0’;
• training a model on the periodically sampled training data associated with the plurality of closed deals, wherein the training of the model comprises training the model on weekly sampled data of at least one of the plurality of the closed deals using a gradient boosting algorithm and the labels for the plurality of closed deals to reduce label bias and improve overall performance of the model;
• and
• generating a score for each of the plurality of closed deals and for each of the plurality of open deals using the trained model, wherein
• the computing of the label comprises defining the label as an amount of activity that is captured using:
• label
• m
• =
• 0
• .
• 5
• +
• 0
• .
• 5
• *
• (
• ∑
• k
• =
• 1
• m
• ⁢
• 1
• ∑
• i
• =
• 1
• n
• ⁢
• 1
• )
• *
• I
• A
• where
• IA=1 if deal is won
• IA=−1 if deal is lost, and
• m represents a period of time for when the label is evaluated;
• or
• the computing of the label comprises, responsive to an activity along with a qualitative nature of the activity being associated together, defining the label as an amount of the activity that is captured using:
• label
• m
• =
• 0
• .
• 5
• +
• 0
• .
• 5
• *
• (
• ∑
• k
• =
• 1
• m
• ⁢
• α
• k
• ∑
• i
• =
• 1
• n
• ⁢
• α
• i
• )
• *
• I
• A
• where αi represents a polarity and qualitative value of an ith activity,
• for numerator k=1−m represents activities happening until as-of-date, and
• denominator i=1−n represents overall activity on deals-lifetime.