classification
18 problems
- Accuracy scoreEasy
- AdaBoost fit (decision stumps)Medium
- Bernoulli Naive Bayes classifierMedium
- Best Gini-based split (decision tree)Medium
- Binary classification with logistic regressionEasy
- Mini-CNN forward (capstone)Medium
- Confusion matrixEasy
- Decision tree learning (ID3)Hard
- Focal loss (multiclass)Medium
- k-NN classification (majority vote)Easy
- Label-smoothed cross-entropyMedium
- Logistic regression — gradient descentMedium
- Multi-class cross-entropy lossEasy
- Pegasos kernel SVMMedium
- Precision metricEasy
- ROC-AUC from scratchMedium
- Softmax (multinomial) regressionMedium
- Weighted cross-entropyEasy