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Revision 18 as of 2024-01-25 12:02:16
AD Teaching Wiki:
  • InformationRetrievalWS2324
  • ResultsES11

Results for Exercise Sheet 11 (Logistic Regression)

Click "Edit" 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.
In the second column, write down whether your inputs are term-frequency vectors, sums of fastText word embeddings, or sums of random word embeddings.
In columns 3-5, write down the precision, recall and F1-score.
In columns lr, epochs and batch size please write down your learning rate, the number of epochs, and your batch size.

Name

Input

Precision

Recall

F1-score

lr

epochs

batch size

sw1169

term frequencies

74.73

76.04

75.38

0.1

10

32

sw1169

fastText embeddings

74.56

75.66

75.10

0.002

10

32

sw1169

random embeddings

60.74

61.14

60.94

0.002

10

32

kn104

term frequencies

75.23

75.16

75.19

0.01

20

8

kn104

fastText embeddings

69.09

85.12

76.27

0.001

20

8

kn104

random embeddings

60.61

61.86

61.23

0.002

1000

32

ft136

term frequencies

68.08

84.57

75.44

0.2

6

25

ft136

fastText embeddings

71.17

81.46

75.97

0.002

5

16

ft136

random embeddings

53.89

87.05

66.57

0.002

40

10

pw194

term frequencies

73.41

78.16

75.71

0.2

10

64

pw194

fastText embeddings

72.43

79.25

75.69

0.001

20

16

pw194

random embeddings

54.12

86.25

66.51

0.02

10

64

rn79

term frequencies

72.18

79.23

75.54

0.2

5

64

rn79

fastText embeddings

71.60

80.95

75.99

0.0005

20

8

rn79

random embeddings

55.87

79.46

65.61

0.05

10

64

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