{"push_id":2737088863,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"502c5ab42be4debcb56c45920b6b4e3ff926a074","before":"84bbbb3f98a75ec84e0282faf241465ab093e1ef","commits":[{"sha":"502c5ab42be4debcb56c45920b6b4e3ff926a074","author":{"name":"Parvathy Sarat","email":"5b9e9fb47fe3cd46ec8c4e6b4e2a96f208b11a75@gmail.com"},"message":"Update README.md\n\nThis Random Forest classifier model was developed to detect security threats in the Firewall server of a cyberservices firm based in Cambridge, Massachusetts. The data used came directly from logs of the server's login access, updated daily.\r\n\r\nA two-way classifier, the initial model received an accuracy of 0.906 with the test datasets, while the final classifier gives predictions with an accuracy of 1.0.","distinct":true,"url":"https://api.github.com/repos/parvathysarat/predictive-model-randomforest/commits/502c5ab42be4debcb56c45920b6b4e3ff926a074"}]}
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