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Glass Classification using Machine Learning

Usage

Installation

create a virtual environment and install the requirements

switch junyper kernel to the virtual environment

launch code

Data Description

Measurements of Forensic Glass Fragments

Description

The fgl data frame has 214 rows and 10 columns. It was collected by B. German on fragments of glass collected in forensic work. Usage

Format

This data frame contains the following columns:

Relative measurements
RI
refractive index; more precisely the refractive index is 1.518xxxx.
Measurements in percentages by weight of oxides
Na
sodium.
Mg
manganese.
Al
aluminium.
Si
silicon.
K
potassium.
Ca
calcium.
Ba
barium.
Fe
iron.
type
The fragments were originally classed into seven types, one of which was absent in this dataset. The categories which occur are window float glass (WinF: 70), window non-float glass (WinNF: 76), vehicle window glass (Veh: 17), containers (Con: 13), tableware (Tabl: 9) and vehicle headlamps (Head: 29).

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.