0
$\begingroup$

First of all thank you for taking your time to read my question. I have done a Machine Learning model with a dataset (The famous one about Cancer) and I want to know how can I do to predict the results for new variables. I think that I have to keep training the data (often) to have more accured data to use in my prediction but for predicting new data, ¿Is as simple as changing the test data (y variable) to the new data? Thank you so much for taking your time and any help would be appreciate it.

$\endgroup$

closed as too broad by TwinPenguins, Mark.F, Siong Thye Goh, oW_, Toros91 Feb 21 at 1:25

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

  • $\begingroup$ Can you give some more details on what software tools you used to train your model and what specific model you used? $\endgroup$ – Wes Feb 20 at 13:07
0
$\begingroup$

Personally , at the first time, I used this link to do predictions in deep learning:

https://machinelearningmastery.com/how-to-make-classification-and-regression-predictions-for-deep-learning-models-in-keras/

if you're using another algorithm (not neural networks), which one?

$\endgroup$
  • $\begingroup$ See this link (RF and DT are used) : medium.freecodecamp.org/… $\endgroup$ – Kikio Feb 20 at 14:17
  • $\begingroup$ Thank you so much. The last part was what I was looking for. $\endgroup$ – Amartin Feb 20 at 14:31

Not the answer you're looking for? Browse other questions tagged or ask your own question.