AD Teaching Wiki:

Results for Exercise Sheet 11 (Logistic Regression)

Click "Edit (Text)" in the upper bar of this page and add your row to the table below, following the examples already there.

In the first column, write down your account name, or name1+name2 if you work in a group.
In the columns 2-4, write down the precision, recall and F-measure for the class Western. In columns 5-7, write down the precision, recall and F-measure for the class R.
In columns alpha, #epochs and batch size please write down your learning rate alpha, the number of epochs you used for training, and your batch size. Please note in the last column which datasets you used (Variant 1 or Variant 2).

Name

Class: Western

Class: R

Precision

Recall

F-Measure

Precision

Recall

F-Measure

alpha

#epochs

batch size

Dataset variant

pb1042

90.62%

84.94%

87.69%

71.20%

77.16%

74.06%

0.25

20

10

Variant 1

ta116

99.52%

96.12%

97.79%

69.81%

86.90%

77.42%

0.5

50

20

Variant 1

sw540

92.52%

82.85%

87.42%

67.07%%

93.43%

78.09%

0.3

20

64

Variant 1

ak482

91.35%

92.23%

91.79%

41.6%

61.86%

50.07%

1

10

5

Variant 2

mb925

94.00%

91.26%

92.61%

45.97%

59.50%

51.87%

0.2

40

10

Variant 2

tl109

79.63%

70.12%

73.96%

45.08%

44.65%

44.59%

0.5

50

20

Variant 1

ds565

90.99%

84.52%

87.64%

71.30%

77.16%

74.11%

0.2

20

10

Variant 1

jr74+tw246

89.29%

83.68%

86.39%

72.10%

71.58%

71.84%

0.25

20

10

Variant 1

wy8+zl36

92.42%

81.59%

86.67%

68.41%

89.88%

77.69%

0.25

10

20

Variant 1

AD Teaching Wiki: InformationRetrievalWS1920/ResultsES11 (last edited 2020-01-20 14:32:21 by kg-10-126-113-210)