renatoosousa / geneticalgorithmforfeatureselection Goto Github PK

The convergence of logistic regression model does not take place .Also,the comparison of fitness values of individuals with maxAccuracy is an error since the comparison is not taking place between the compatible data types.

I am doing research on image classification. As in this code you have used LogisticRegression. Can i use Keras or tensorflow cnn model to optimize it's accuracy?
Thank you.

do you have example with complicated task when strong ML packages needed like lightGBM?

Traceback (most recent call last):
File "gaFeatureSelection.py", line 129, in
accuracy, individual, header = bestIndividual(hof, X, y)
File "gaFeatureSelection.py", line 84, in bestIndividual
if(individual.fitness.values > maxAccurcy):
TypeError: '>' not supported between instances of 'tuple' and 'float'

Can you help me with this?

Dear Renato Sousa,

I’m just writing to inform you that while testing your code, I found that it does not return the best individual ( the individual with the highiest accuracy).
A screenshot of the execution trace is attached below.

Waiting for your feedback,

Thank you in advance.