Classification problem with imbalanced data handling methods

Imekamilika Ilichapishwa Miaka 2 iliyopita Kulipwa wakati wa kujifungua

$30-250 USD

Kulipwa wakati wa kujifungua

Imekamilika Kulipwa wakati wa kujifungua

Python code of a classification problem, where 3 imbalanced datasets will be used, 4 imbalanced data handling methods (Oversampling, Undersampling, SMOTE, Proposed Criteria) , 3 classification algorithms and 5 evaluation criteria will be used. and then results show be filled out in the results sheet attached.

Evaluation criteria:

1. Matthews Correlation Coefficient

2. Recall

3. Precision

4. F-score

5. Area Under the Curve (AUC)

Classification algorithms: Naïve Bayes, Logistic Regression, Support Vector Machine

Proposed imbalanced data handling method: an algorithm that check the best mix of over, under and SMOTE with different order and difference threshold % and choses that best according to MCC measure. different thresholds: [ 0 , 15% , 30% , 50% , 65% , 80% , 90% ]

methodology attached

The 3 dataset files will be sent once project granted

Python Machine Learning (ML) Algorithm Takwimu Uchanganuzi wa Takwimu

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