MAP measures the area under the precision-recall curve averaged across queries
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MAP measures the area under the precision-recall curve averaged across queries
BLEU vs ROUGE: BLEU measures precision of n-grams, ROUGE measures recall
BLEU measures precision of n-grams, ROUGE measures recall
to normalize features: when features have different scales and you use distance-based methods
Why do some things need to be adjusted to compare fairly?
Receiver operating characteristic
Ever wondered how doctors decide if a test really finds cancer?
Precision and recall
Precision = Relevant retrieved instances / All retrieved instances
word error rate (WER) measures: edit distance between predicted and reference transcriptions
WER measures the percentage of errors in transcription
Euclidean geometry
Euclidean distance measures absolute position in space
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