CrimeAnaliticTools
Statistical methods for studying criminal activity using artificial intelligence (AI)
The package “CrimeanaliticTools” contains functions for a forensic analysis of crimes data, including their exploration analysis and preliminary preparation, some functions for simplifying the use of artificial intelligence methods.
In particular, the package contains the following functions: Dixon, Grubbs and Irvin test to identify outliers; computes the area under the curve (AUC), AUC variance and the confidence interval (CI) of AUC; calculates a cross-tabulation of observed and predicted classes with associated statistics; variable importance using Garson's and Olden's algorithm, and sensitivity analysis using Lek's profile method for input variables for a Multi-layer Perceptron classifier or regressor; assessment of the relative importance of features in data for estimator; search for the best combination of features in data using ensemble methods; for to draw a Multi-layer Perceptron classifier or regressor in image.
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Release files for crimeanalitictools 1.1.0
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| File | Size | Uploaded | Provenance | |
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| crimeanalitictools-1.1.0.tar.gz | 22.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| crimeanalitictools-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.8 kB
Release files / crimeanalitictools-1.1.0.tar.gz
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Release files / crimeanalitictools-1.1.0-py3-none-any.whl
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| Size | 23.0 kB |
| Tags | Python 3 |
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