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While Logistic Regression is a commonly used algorithm for binary classification tasks like breast cancer classification, there are challenges in achieving high generalization performance across diffe…
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Informational entities such as a VA statements can be represented at **different 'levels of abstraction'** - from an object representing the statement's abstract information content, to an object repr…
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Hello!
Super nice tool! I am trying to apply it to my dataset but I am encountering the next error:
```
Processing sample: Brain_tumor
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting …
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and found no similar bug report.
### YOLOv5 Component
_No response_
### B…
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**Project Description:** Fair data reweighting is a simple and effective pre-processing to ensure model fairness. The goal of this project is to design and develop an open source implementation of fai…
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Hi - is there a method to get shapley values for classification problems? The code I tried is below:
> RFC = @load RandomForestClassifier pkg="DecisionTree"
rfc_model = RFC()
rf_machine = machine…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Breast Cancer Classification with Neural Network | Deep Learning
:red_circle: **Aim** : The Breast Canc…
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**Background**
Related to #21 issue.
**Topic**
```
HealthCondition - illness, injury, impairment etc
```
In our ideal data model we have the next fields:
- `MEDDRA`
- `WHO-ICD-10`
But in the Cochr…
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Here is my code:
```
from pandas import read_csv
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from autosklearn.classification import AutoSklearn…
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Congratulations on your impressive work with the Mammo-CLIP. I am currently interested in testing this model on a new dataset and analyzing the resulting embeddings. Please let me know if there is an …