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I have a highly skewed dataset. I was hoping that Tpot will make use of parameters like `class_weight` (in logistic regression) and `scale_pos_weight` (Xgboost) but it doesn't recognize the class dist…
Ak784 updated
3 years ago
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### **Feature Request: Create a `Tracker` Class for Monitoring Simulation Metrics**
#### **Description**
We need a flexible `Tracker` class that can be inherited by other classes to track specific…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Hackathon Context:
Aman is participating in a 24-hour hackathon with around 700 teams registered, and a cash prize pool of ₹150,000.
The hackathon's themes focus on topics like AI-based solutions, qu…
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no si…
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Hi, Mr treder. I am currently working with MVPA Light and have encountered an issue where the number of trials across different classes is not equal. Could you please advise on the best practices or m…
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## Background
Train test split is a stochastic process. It is possible that underrepresented classes can be left out of the training set and therefore not modeled!
## STR
You may need to run this a…
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Specific class weights are focused on five classes in the dataset: background, ribbons, cracks, gridline defects, and inactive areas.
A two-level screening design was selected for the experiment be…
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# Tweet summary
Train multiple classifiers with bootstrap undersample data set on imbalanced data.
# Useful link
https://www.svds.com/learning-imbalanced-classes/#fn2
https://imbalanced-learn.or…
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As mentioned on [topepo.github.io](https://topepo.github.io/caret/using-your-own-model-in-train.html#illustrative-example-5-optimizing-probability-thresholds-for-class-imbalances), own models can be s…