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lets take an example of a Matrix.
It shows the percentage of accuracy of predicted results.
TN- predicted negative and result also negative
FP- Predicted positive but actual negative
FN- Predicted Negative but actual positive
TP- predicted positive and actual also positive
Predictive Power represents how close to the perfect model is the predictive model.
Prediction Confidence expresses the ability to reproduce the same detection with a new dataset.
Influencers
The X axis represents the overall population and the Y axis represents the positive cases.
The red line is a random picking. This means that there is no predictive model. To take an image, it’s like playing heads or tails. On the opposite, the green curve represents a perfect predictive model.
The orange and blue curves correspond to the percentage of positive cases when ordering by decreasing score/probability.
Profit Simulation
If you would like to know the impacts and costs of your decisions.
The profit simulation role is to choose a threshold. One way to choose that threshold is to optimize the profit.
Click on maximize profit button to see the best scenario.
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