apavlo89
apavlo89
Having trouble adding classifier metric + question on which metric should be used from existing ones
@weixuanfu Great, I will run TPOT with it after log loss run finishes. In your opinion which accuracy metric would you use in my case? Just to reiterate - samples...
Having trouble adding classifier metric + question on which metric should be used from existing ones
> You can simply use accuracy or f1 score on all of 20 samples that used in TPOT. It is noted that it is a training score instead of holdout/test...
Having trouble adding classifier metric + question on which metric should be used from existing ones
There is definitely something different with Log loss that makes it better or makes it seem better. Training TPOT with the accuracy metric gives me a max accuracy score of...
Having trouble adding classifier metric + question on which metric should be used from existing ones
Another run with log loss TPOT training run gave me this (went close to 0 and once it flipped to a value higher than 0 or 1 - in this...
> ``` > #bins = algos.quantile(X, np.linspace(0, 1, force_bins)) #creates a new binnning based on forced bins > bins = X.quantile(np.linspace(0, 1, force_bins)).values #creates a new binnning based on forced...
It would be amazing if this code was implemented in MAJOR to replicate Revman forest plots https://www.metafor-project.org/doku.php/plots:forest_plot_revman