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Once the C-clone selected on the left panel , a point on the graph can be selected to choose the volume of users to be reached
Graph
The vertical axis (expected gain) represents the performance index: a performance
index is a cumulative % of the positive target within the segments over the % of the
target within the negative segments defined as the reference population
The horizontal axis (% in database recency 1 day) represents the % of Weborama
internet users defined as negative segment
Each dot along the red scoring curve represents a strong classifier family
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The dot with the most performing internet users is on the far left of the graph, but
with the smallest volume of usersThe dot with the largest volume of internet users is on the far right of the graph,
but with a weaker performance index
Profile Type
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in the Cclone list, the algorithm output becomes available to create an audience. There are several elements that can be set and will have an impact on the resulting audience.
Profile type
There are two type of profiles available in this setting:
Non-empty: Only non-empty users are selected to calculate the volume
All: All users are selected to calculate the volume
Illustration
This classifier represents 17.64 % of the Unique Users (vs the reference population =
negative segment) and 3.56 times the average conversion performance of the whole
reference population as defined as the negative segment
Decision Tree
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Graph
The graph is an output of the algorithm where each point represent a potential audience formula with a gain in user quality or volume. Points on the left side of the graph have more volume but lesser quality in terms of user matching, while points on the right side have less users included but high matching user with the criteria all within the universe of the cclone.
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Decision Tree
Once a point is selected on the graph, the corresponding decision tree is displayed below.
This tree enables to identify and visualize the key predictors (most explanatory variables) explaining a performance (conversion...)
These explanatory variables are the result of the Khi2 test which calculates the dependency of the variables vs the variable to explain
The red nodes are those that constitute the audience selected.
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