topsis-simran-101803100 1.0.2

Compare different models using performance score

TOPSIS

Use it to compare results or parameters of different models and rank them accordingly

Documentation

Commands:

1. import topsis_simran_101803100 as tp
2. tp.topsis("filename","weights array","impacts array","resultfilename")

Note:

• File should be of CSV type containing all the parameter for different files.
• All the data should be of numeric type.
• TOPSIS score will be stored in the resultfilename.csv
• Provdie weights and impact array in form of list
• wts => [1,1,1,1], impacts => ['-','+','+','+']

Eg.

Model	Corr	Rseq	Rmse	Accuracy
M1	0.79	0.62	1.25	60.89
M2	0.66	0.44	2.89	63.07
M3	0.56	0.31	1.57	62.87

tp.topsis('data.csv',[1,1,1,1],['-','+','+','+'],'result.csv')

RESULT

Model	Corr	Rseq	Rmse	Accuracy	p_score	rank
M1	0.79	0.62	1.25	60.89	0.624385	1
M2	0.66	0.44	2.89	63.07	0.289848	3
M3	0.56	0.31	1.57	62.87	0.398557	2