AD Teaching Wiki:

Results for Exercise Sheet 12 (statistical significance tests)

Please add your row to the table below, following the examples already there. Report test results for each of the three test datasets in increasing size (50 examples/200 examples/all examples). Specify all numbers in percent, rounded to the first decimal place. Briefly specify your variant and any refinements you might have implemented.

Name

Baseline Precisions

Variant Precisions

p-values t-Test

Additional Information

Elmar

74.0% / 66.0% / 69.8%

80.0% / 68.0% / 73.2%

47.8% / 67.1% / 0.2%

Variant: logistic regression without batches, 10 iterations

Elias & Maxi

86.4% / 63.8% / 71.4%

84.6% / 63.9% / 72.1%

82.7% / 83.7% / 26.9%

Variant: logistic regression (no batches), 30 iterations

ES

68.0% / 64.0% / 71.1%

74.0% / 69.0% / 73.1%

64.0% / 45.3% / 21.0%

Variant: logistic regression (no batches), stop iteration if wrong predictions are less then 7% of documents, averaging

ID

68.0% / 65.0% / 68.2%

76.0% / 66.0% / 72.4%

52,8% / 88.2% / 1.04%

Variant: logistic regression without batches, 10 iterations + averaging

Hui Hui

74.0% / 66.0% / 69.8%

78.0% / 67.0% / 71.3%

69.5% / 81.8% / 15.9%

Variant: logistic regression

Perspective Daily

74.0% / 66.0% / 69.8%

76.0% / 68.0% / 72.8%

43.5% / 38.1% / 2.7%

Variant: Averaging

Alex

74.0% / 67.0% / 69.0%

76.0% / 70.0% / 74.0%

87.1% / 70.4% / 0.71%

Variant: logistic regression with averaging, 10 Iterations

David

75.2% / 67.0% / 69.7%

76.9% / 67.3% / 72.8%

47.3% / 49.2% / 16.9%

Variant: Averaging, 10 Iterations

AD Teaching Wiki: InformationRetrievalWS1516/ResultsES12 (last edited 2016-02-01 16:20:56 by HSI-KBW-37-49-25-206)