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Among the metrics for evaluating decision tree complexity, which one is described as the ‘gold standard’?

Your random forest reports OOB error = 0.46% (so accuracy ~99.5%). However, the confusion matrix shows that for the High_Interest class, sensitivity is only 48/53 ≈ 90% — the model misses 5 out of 53 real opportunities. Your manager wants suggestions. Which is the BEST next step?

What is a key LIMITATION of Mean Decrease in Gini as a feature importance metric?

In a decision tree, a node that has no further branches stemming from it is called a:

Transformers process all words in a sentence simultaneously (in parallel). Why is Positional Encoding still added to the input embeddings before they enter the transformer?

In the K-means algorithm, how is the mathematical distance between each data point and the centroid usually measured?

What is a major disadvantage (Con) of Principal Component Analysis (PCA)?

In PCA, what specific mathematical properties do we calculate to reconstruct the ordered covariance matrix?

Your client (a fund manager) asks you to explain what kinds of Polymarket markets the decision tree below classifies as ‘High Interest’ (predicted = 1). Looking at the tree, which path leads to the High Interest label?

What is the ‘vanishing gradient’ problem that RNNs and LSTMs face when processing long paragraphs?