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issues in ISRO SPACE mining .py file #12
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Thanks . |
Hi @Devanik21 I would like to take on the task of resolving the identified issues in the ISRO SPACE mining .py file. |
hello , are you working on it? |
Yeah I am working on it |
i would like to contribute @Devanik21 |
@Devanik21 i analyze the mining python file and see lots of abnormalities ,i would to work on it
there is list of problem s that i can solve
Data Leakage:** Pre-trained models may have been trained using the full dataset, leading to inflated performance.
Overfitting:** Models show unrealistically high accuracy, suggesting they are overfitting to the training data.
Imbalanced Dataset:** The target variable might be imbalanced, which could bias the model’s predictions.
I### nadequate Evaluation:** Overreliance on accuracy without considering metrics like ROC AUC or F1-score.
No Cross-Validation:** Cross-validation is missing, which could lead to overestimating model performance.
Missing Feature Scaling:** Numerical features are not scaled, which may affect the performance of some models.
Categorical Encoding:** The categorical feature 'Celestial Body' is not properly encoded.
Unused Imports:** Libraries like TensorFlow and Keras are imported but not used.
Inconsistent Random Seeds:** Random seeds are not consistently set, making results non-reproducible.
No Hyperparameter Tuning:** Models are used with default parameters without sufficient tuning.
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