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all, i am training light gradient boosting and have used all of the necessary parameters to help in over fitting.i plot the predicted probabilities (i..e probabililty has cancer) distribution from...
Asked on 12/30/2021
1 answerTL;DR: I'm doing a fairly basic project which involves exercise. It seems that descriptive statistics and basic data vis (ex: line graph) would be most appropriate for this project, but...
Asked on 12/28/2021
1 answerI am attempting to use XGBoost in R to train a model that predicts a fixed number of target variables using all data from previous dates, as well as the...
Asked on 12/28/2021
2 answerI've been working on examining statistical relationships between variable:Pearsons, Spearman's for continuous variablesKendall's Tau, Cramer's V for ordinal/nominal variables.I know there's many more ways. Recently I read about ANOVA and...
Asked on 12/28/2021
1 answerI originally came from R, but Python seems to be the more common language these days. Ideally, I would do all my coding in Python as the syntax is...
Asked on 12/28/2021
7 answerI am training ML CNN model. I want to compare different images dataset. The dataset all have different characteristics (Translated or not, Rotated or not, etc.). I do not modify...
Asked on 12/28/2021
1 answerSuppose I have N points (labeled 1, 2, ..., k, ..., N) in D dimensions. I'd like to choose the order of points such that, after each point, the volume...
Asked on 12/26/2021
1 answerI'm looking at the architecture proposed in the following paper: Baoguang Shi et al, An End-to-End Trainable Neural Network for Image-based SequenceRecognition and Its Application to...
Asked on 12/26/2021
1 answerTrying to explain my question on a simplified data set.Having the following dataset: day f1 f20 0 ...
Asked on 12/26/2021
1 answerI understand building a ROC curve when the output is a probability, say, from a logistic regression model. You can build a ROC curve by varying the cutoff threshold. But...
Asked on 12/26/2021
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