All Questions
10 questions
0
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0
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58
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Improving Recall and Precision of the Minority Class with XGBoost to Maximize Profits in Unbalanced Data
The company is interested in identifying profitable customers who are likely to purchase a ticket when given a promotional offer. My goal is to build a model to predict whether a customer will buy a ...
- 1
0
votes
1
answer
638
views
How to intrepret low F1 score and high AUC on training set?
I am currently working on a very imbalanced dataset:
24 million transactions (rows of data)
30,000 fraudulent transactions
(0.1% of total transactions)
and I am using XGBoost as the model to predict ...
0
votes
0
answers
514
views
XGBoost failing on highly imbalanced data!
I am working on a classification problem, where I am trying to predict a fraud login. The data is highly imbalanced i.e.
0 = non fraud logins , 1 = fraud logins
0 : 4538076
1 : 365
I have been trying ...
- 1
4
votes
2
answers
4k
views
High Recall but too low Precision result in imbalanced data
I was training a model using XGBoost Classifier on a heavy imbalanced database with 232:1 of binary class. Because my training data contains 750k rows and 320 features (after doing many feature ...
- 73
2
votes
2
answers
4k
views
Class Imbalance and Cost-Sensitive Learning XGBoost
I'm fairly new to data science and machine learning and have been trying to read a bit more on methods like boosting for one of the projects I am working on. The investigator on this project is ...
- 21
3
votes
0
answers
806
views
Target mean encoding worse than ordinal encoding with GBDT ( XGBoost, CatBoost )
I have a dataset of 23k rows of an unbalanced dataset 85/15 ratio, 10 variables ( 9 of which are categorical ) , i'm using CatBoost and XGBoost for a binary classification.
I applied cv (5 iteration ...
- 2,094
3
votes
0
answers
436
views
Adjust class weights due to class imbalance and class importance Multi class classification XGBoost
With respect to this question and the answer given by @Esmailian, Would anyone be able to let me know if Class B has a higher importance or the positive class ( i.e. it needs to have a higher ...
- 153
5
votes
1
answer
12k
views
What is the best way to deal with imbalanced data for XGBoost? [closed]
There are a lot of way to deal with class-imbalanced data like undersampling, oversampling, changing cost function etc.
https://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-...
- 211
2
votes
1
answer
1k
views
scale_pos_weight Xgboost
My question is rather simple what does the parameter scale_pos_weight in xgboost do? I know typically it should be $\frac{sum(negative cases)}{sum(positive cases)}$.
Does it oversample the minority ...
- 378
42
votes
6
answers
55k
views
Unbalanced multiclass data with XGBoost
I have 3 classes with this distribution:
Class 0: 0.1169
Class 1: 0.7668
Class 2: 0.1163
And I am using xgboost for ...
- 585