Random forest classifier analysis
Random Forest Classifier is model used to eliminate noise in the model data input. The model has the ability to find out spurious relationship between the inputs and the chosen target variable when a list of variables and dataset is keyed to it.
Method of data collection
Sampling is a method of data collection. Sampling is about selecting a subset of people from a numerical population so as to evaluate features of the whole inhabitants.
Forensic Tool Validation
Due to the prevailing rate at which crimes are being committed at different social and economic levels across human race, there has been an urgent need to develop forensic tools which can help to curb the perpetrators of the crimes.