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--- courses:be5b33prg:homeworks:spam:step3 [2015/12/14 14:12]
xposik [Function ''quality_score()'']
+++ courses:be5b33prg:homeworks:spam:step3 [2015/12/14 14:14]
xposik [Function ''compute_quality_for_corpus()'']
@@ Line 23: / Line 23: @@
   * In module ''quality.py'', create function ''compute_quality_for_corpus(corpus_dir)'' which evaluates the filter quality based on the information contained in files ''!truth.txt'' and ''!prediction.txt'' in the given corpus.
   * The true and predicted classification can be read in the form of dictionaries using function ''read_classification_from_file()''.
-  * The confusion matrix for the given corpus can be computed from the dictionaries using method ''compute_from_dicts()'' of ''BinaryConfusionMatrix'' class.
+  * The confusion matrix for the given corpus can be computed from the dictionaries using method ''compute_confusion_matrix()'' function from step 2.
-  * The quality score can be computed from the confusion matrix using function ''quality_score()''.
+  * The quality score can be computed from the confusion matrix using function ''quality_score()'' from step 2.
 Why do we need it?