def two_years_analysis(two_years_df
, first_metric
, second_metric
, key):
print()
print("Co-change"
, first_metric
, second_metric)
g = two_years_df.groupby([first_metric, second_metric]
, as_index=False).agg({key : 'count'})
print(g)
cm = ConfusionMatrix(g_df=g
, classifier=first_metric
, concept=second_metric, count=key)
print(cm.summarize())
print()
print("Samples", cm.samples())
print("Both metrics increment match", cm.accuracy())
print(second_metric
, " improvement given "
, first_metric
, " improvement", cm.precision(), "lift", cm.precision_lift())
print(first_metric
, " improvement given "
, second_metric
, "improvement", cm.recall(), "lift", ifnull(safe_divide(ifnull(cm.recall()),cm.hit_rate())) - 1)
print()
