AD Teaching Wiki:

Results for Exercise Sheet 11 (SVM vs. Naive Bayes)

Please read the instructions below, before adding something to the table!

Add your row to the table below, following the examples already there. Column 2 = percentage of correctly classified documents in the test set, with exactly one digit of precision / the number of documents in the training set that are not classified correctly / the width of the band when taking those mis-classified documents out of the training set (if any). Column 3 = the same for Support Vector Machines without allowing outliers. Column 4 = the same for Support Vector Machines when allowing outliers.

For easier isual reference: the numbers in each of the last three columns are % in test set predicted correctly / # misclassified in training set / band width.

Name

Naive Bayes

SVM strict

SVM with outliers

Hannah

95.5% / 3 / 0.0159

96.1% / 0 / 1.070

87.5% / 84 / 3.420

Florian B

95.3% / 3 / 0.0002

96.3% / 0 / 1.077

91.1% / 69 / 3.274

Fabian S

99.3% / 8 / 0.0004

100% / 0 / 0.45067

98.6% / 15 / 0.7563

Nikolaus

97.1% / 3 / 0.0099

95.1% / 0 / 1.06

71.2% / 247 / ?

Jan M

97.1% / 5 / 0.015

95.6% / 0 / 1.02

86.8% / 92 / 1.88

Simon

94.1% / ?? / ??

??.?% / ?? / ??

??.?% / ?? / ??

Matthias H

97.2% / 4 / 0.008

95.4% / 0 / 1.04

75.3% / 205 / 5.85

Christoph S

97.1% / 3 / ??

95.1% / 0 / ??

71.3% / ? / ?

Tobias F

95.2% / 3 / ??

62.7% / 0 / 1.839

??.?% / 67 / 0.6102

Andreas H

97.1% / 3 / 0.002

95.1% / 0 / 1.06

71.2% / 247 / 7.4

Dennis P, Marcel G

94.1% / 4 / 0.0099

95.6% / 0 / 1.1064

79.2% / 193 / 6.7080

Aritz B

95.3% / 3 / ??

96.3% / 0 / 1.077

91.1% / 69 / 3.274

Markus F

95.2% / 3 / 0.00025

96.3% / 0 / 1.0813

91.1% / 68 / 3.2811

Chris

94.1% / 4 / ??

??% / ?? / ??

??% / ?? / ??

Anthony

94.1% / ?? / ??

58.14% / 0 / 1.99

?? / ?? / ??

Ander B

95.3% / 3 / ??

96.3% / 0 / 1.077

91.1% / 69 / 3.274

sm200

96.0% / 4 / 0.74

?? / 0 / 1.8

?? / 193 / 0.3

Bettina H

97.2% / 4 / 0.01828

95.1% / 0 / 1.058

71.3% / 248 / 7.437

Ane R

95.2% / 3 / ??

96.3% / 0 / 1.077

91% / 69 / 3.27

Manuel M

94.1% / 4 / 0.002

96.0% / ?? / ??

80.0% / ?? / ??

Niklas

95.9% / 4 / 0.0027

97.7% / 0 / 0.97

87.0% / 94 / 3.125

Christoph G

97.1% / 3 / 0.002140

?? / ?? / ??

?? / ?? / ??

Stefan B.

97.14% / 1 / 0.000083

?? / ?? / ??

?? / ?? / ??

Philipp B.

96.98% / 17 / 0.005370

?? / ?? / ??

?? / ?? / ??

Simon S.

94.0% / 4 / 0.013902

?? / ?? / ??

?? / ?? / ??

Joachim W.

55.1% / ? / ????

?? / ?? / ??

?? / ?? / ??

Robin S.

96.7% / 4 / 0.0150

?? / ?? / ??

?? / ?? / ??

Carlos L.

94.07% / ? / 0.033

89.32% / 0 / 4.02109

57.03% / 568 / 0.84707

AD Teaching Wiki: InformationRetrievalWS1213/ResultsSvmVsNaiveBayes (last edited 2013-01-30 16:22:58 by frbg-4d029b3a)