Discussion of article "CatBoost machine learning algorithm from Yandex with no Python or R knowledge required" - page 2
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Please upload the log after the CB_svod.csv script is running.
Please find attached,
I also attache the CB_Bat set file
Please find attached
There is no error in the log. Send the file in the zip archive "output_test". I assume that there are no rows with a probability greater than 0.5. Very small sample.
Cols(2413) Rows(289) - test.
There is no error in the log. Send the file in the zip archive "output_test". I assume that there are no rows with a probability greater than 0.5. Very small sample.
I uploaded the whole Rezultat folder:
http://www.mediafire.com/file/m2uqcnkqu6ee8nb/Rezultat.zip/file
About sample size: Optimization was done on EURUSD 2016.01.01 - 2020.01.01. The highest trade number optimization which had more or less flat balance curve had around 1400 trades:
I uploaded the whole Rezultat folder:
http://www.mediafire.com/file/m2uqcnkqu6ee8nb/Rezultat.zip/file
About sample size: Optimization was done on EURUSD 2016.01.01 - 2020.01.01. The highest trade number optimization which had more or less flat balance curve had around 1400 trades:
"Rezultat\RS_32\result_4_Test_CB_Setup_0_000000000" Probability<0.5, but one >0.5. What is the balance for the test sample?
Line of balance is good, but in this case it is important a greater number of transactions. The more examples, the more knowledge about the market.
"Rezultat\RS_32\result_4_Test_CB_Setup_0_000000000" Probability<0.5, but one >0.5. What is the balance for the test sample?
Line of balance is good, but in this case it is important a greater number of transactions. The more examples, the more knowledge about the market.
I am not sure you are asking for the result for RA_32 from the CB_Svod.csv file (I also noticed that this was the only row which had all positiveresults): But still the mqh model was not generated for this. Do you have an idea why? Thanks for all the help.
I am not sure you are asking for the result for RA_32 from the CB_Svod.csv file (I also noticed that this was the only row which had all positiveresults): But still the mqh model was not generated for this. Do you have an idea why? Thanks for all the help.
Now it is obvious that the script is working correctly. Models are created only those that have passed the filter, which by default is 3000 points. Lower this threshold in the script settings.
Now it is obvious that the script is working correctly. Models are created only those that have passed the filter, which by default is 3000 points. Lower this threshold in the script settings.
Thanks! I will try further from the optimization part.
I am glad that You decided to reproduce the entire process described in the article. Good luck!
Please upload the log after the CB_Calc_Svod script is running.
I cant do better :( from 2014-2020 on EURUSD
I cant do better :( from 2014-2020 on EURUSD
Maybe try the settings from the article?