FakePredictionResults: Simulated Prediction and True Label dataset
In ksboxer/CDIPATools: CDI Predictive Analytics Tools
Description
A dataset containing 10,000 rows of randomly generated classification predictions,
with corresponding probability scores, and binary true labels, with corresponding
true risk scores
Usage
1
Format
A data frame with 10,000 rows and 5 variables:
- id
sequential id, numeric
- est.risk.score
0-1, predicted probability
- est.risk.bin
0 or 1, predicted binary classification label
- true.risk.score
0-1, true probability risk score
- true.risk.bin
0 or 1, true binary label
ksboxer/CDIPATools documentation built on June 5, 2019, 8:29 a.m.
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Description
A dataset containing 10,000 rows of randomly generated classification predictions, with corresponding probability scores, and binary true labels, with corresponding true risk scores
Usage
1 |
Format
A data frame with 10,000 rows and 5 variables:
- id
sequential id, numeric
- est.risk.score
0-1, predicted probability
- est.risk.bin
0 or 1, predicted binary classification label
- true.risk.score
0-1, true probability risk score
- true.risk.bin
0 or 1, true binary label
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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