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1 parent 759d536 commit 8a88840d8fee09eb080472ba1ce31cbc96eb89c6 @merimak committed Mar 25, 2016
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  1. +351 −0 Results/Performance results/Device_classification_DecisionTrees.txt
  2. +1,076 −0 Results/Performance results/Device_classification_LogisticRegression.txt
  3. +5,318 −0 Results/Performance results/Device_classification_NeuralNetworks.txt
  4. +66 −0 Results/Performance results/Device_classification_kNN.txt
  5. +73 −0 Results/Performance results/Device_type_classification_DecisionTrees.txt
  6. +1,056 −0 Results/Performance results/Device_type_classification_LogisticRegression.txt
  7. +5,138 −0 Results/Performance results/Device_type_classification_NeuralNetworks.txt
  8. +3,110 −0 Results/Performance results/Device_type_classification_NeuralNetworks_tuned.txt
  9. +46 −0 Results/Performance results/Device_type_classification_kNN.txt
  10. +2 −0 Results/Performance results/README
  11. +1 −0 Results/R squared results/README
  12. +4 −0 Results/R squared results/Results in KDP step 2/*README
  13. +12 −0 Results/R squared results/Results in KDP step 2/ICMPCase1_Device_classification_50000_bins.csv
  14. +4 −0 Results/R squared results/Results in KDP step 2/ICMPCase1_Device_type_classification_50000_bins.csv
  15. +12 −0 Results/R squared results/Results in KDP step 2/ICMPCase2_Device_classification_50000_bins.csv
  16. +4 −0 Results/R squared results/Results in KDP step 2/ICMPCase2_Device_type_classification_50000_bins.csv
  17. +14 −0 Results/R squared results/Results in KDP step 2/SCP_Device_classification_50000_bins.csv
  18. +4 −0 Results/R squared results/Results in KDP step 2/SCP_Device_type_classification_50000_bins.csv
  19. +14 −0 Results/R squared results/Results in KDP step 2/TCP_Device_classification_50000_bins.csv
  20. +4 −0 Results/R squared results/Results in KDP step 2/TCP_Device_type_classification_50000_bins.csv
  21. +14 −0 Results/R squared results/Results in KDP step 2/UDPCase1_Device_classification_50000_bins.csv
  22. +4 −0 Results/R squared results/Results in KDP step 2/UDPCase1_Device_type_classification_50000_bins.csv
  23. +14 −0 Results/R squared results/Results in KDP step 2/UDPCase2_Device_classification_50000_bins.csv
  24. +4 −0 Results/R squared results/Results in KDP step 2/UDPCase2_Device_type_classification_50000_bins.csv
  25. +14 −0 Results/R squared results/Results in KDP step 2/UDPCase3_Device_classification_50000_bins.csv
  26. +4 −0 Results/R squared results/Results in KDP step 2/UDPCase3_Device_type_classification_50000_bins.csv
  27. +5 −0 Results/R squared results/Results in KDP step 3/*README
  28. +12 −0 Results/R squared results/Results in KDP step 3/ICMPCase1_Device_classification_500_bins.csv
  29. +4 −0 Results/R squared results/Results in KDP step 3/ICMPCase1_Device_type_classification_500_bins.csv
  30. +12 −0 Results/R squared results/Results in KDP step 3/ICMPCase2_Device_classification_500_bins.csv
  31. +4 −0 Results/R squared results/Results in KDP step 3/ICMPCase2_Device_type_classification_500_bins.csv
  32. +14 −0 Results/R squared results/Results in KDP step 3/SCP_Device_classification_500_bins.csv
  33. +4 −0 Results/R squared results/Results in KDP step 3/SCP_Device_type_classification_500_bins.csv
  34. +14 −0 Results/R squared results/Results in KDP step 3/TCP_Device_classification_500_bins.csv
  35. +4 −0 Results/R squared results/Results in KDP step 3/TCP_Device_type_classification_500_bins.csv
  36. +14 −0 Results/R squared results/Results in KDP step 3/UDPCase1_Device_classification_500_bins.csv
  37. +4 −0 Results/R squared results/Results in KDP step 3/UDPCase1_Device_type_classification_500_bins.csv
  38. +14 −0 Results/R squared results/Results in KDP step 3/UDPCase2_Device_classification_500_bins.csv
  39. +4 −0 Results/R squared results/Results in KDP step 3/UDPCase2_Device_type_classification_500_bins.csv
  40. +14 −0 Results/R squared results/Results in KDP step 3/UDPCase3_Device_classification_500_bins.csv
  41. +4 −0 Results/R squared results/Results in KDP step 3/UDPCase3_Device_type_classification_500_bins.csv
  42. +48 −0 Scripts/KD step 2 and 3/ConcatType.m
  43. +70 −0 Scripts/KD step 2 and 3/CreateHist.m
  44. +17 −0 Scripts/KD step 2 and 3/DataCleaning.m
  45. +34 −0 Scripts/KD step 2 and 3/FiveNumSummary.m
  46. +36 −0 Scripts/KD step 2 and 3/LoadDataset.m
  47. +33 −0 Scripts/KD step 2 and 3/README.rst
  48. +26 −0 Scripts/KD step 2 and 3/RSquared.m
  49. +20 −0 Scripts/KD step 2 and 3/scaleHistograms.m
  50. +55 −0 Scripts/KD step 4/Classification.m
  51. +39 −0 Scripts/KD step 4/Dataset_DevType_Classification.py
  52. +60 −0 Scripts/KD step 4/Dataset_Dev_Classification.py
  53. +38 −0 Scripts/KD step 4/README.rst
  54. +1 −0 Scripts/README
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351 Results/Performance results/Device_classification_DecisionTrees.txt

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1,076 Results/Performance results/Device_classification_LogisticRegression.txt

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5,318 Results/Performance results/Device_classification_NeuralNetworks.txt

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66 Results/Performance results/Device_classification_kNN.txt
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+=== Run information ===
+
+Scheme:weka.classifiers.lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+Relation: Dataset0_1_500bins_devices
+Instances: 4926
+Attributes: 501
+[list of attributes omitted]
+Test mode:10-fold cross-validation
+
+=== Classifier model (full training set) ===
+
+IB1 instance-based classifier
+using 1 nearest neighbour(s) for classification
+
+
+Time taken to build model: 0.01 seconds
+
+=== Stratified cross-validation ===
+=== Summary ===
+
+Correctly Classified Instances 4033 81.8717 %
+Incorrectly Classified Instances 893 18.1283 %
+Kappa statistic 0.7973
+Mean absolute error 0.0262
+Root mean squared error 0.1607
+Relative absolute error 20.5066 %
+Root relative squared error 63.5343 %
+Total Number of Instances 4926
+
+=== Detailed Accuracy By Class ===
+
+ TP Rate FP Rate Precision Recall F-Measure ROC Area Class
+ 0.976 0.001 0.982 0.976 0.979 0.99 dell_a
+ 0.717 0.026 0.615 0.717 0.662 0.84 dell_b
+ 0.844 0.021 0.691 0.844 0.76 0.916 dell_c
+ 0.915 0.013 0.892 0.915 0.903 0.954 dell_d
+ 0.943 0.008 0.941 0.943 0.942 0.966 dell_e
+ 0.345 0.002 0.866 0.345 0.494 0.654 ipad_a
+ 0.573 0.008 0.678 0.573 0.621 0.794 ipad_b
+ 1 0.001 0.99 1 0.995 1 ipad_c
+ 0.963 0 1 0.963 0.981 0.982 iphone_a
+ 0.988 0 0.992 0.988 0.99 0.994 iphone_b
+ 1 0 1 1 1 1 iphone_c
+ 0.977 0 1 0.977 0.989 0.993 iphone_d
+ 0.644 0.057 0.697 0.644 0.67 0.791 nokia_a
+ 0.746 0.072 0.677 0.746 0.71 0.833 nokia_b
+Weighted Avg. 0.819 0.027 0.824 0.819 0.816 0.895
+
+=== Confusion Matrix ===
+
+ a b c d e f g h i j k l m n <-- classified as
+ 164 3 0 0 0 1 0 0 0 0 0 0 0 0 | a = dell_a
+ 0 190 61 7 0 0 1 0 0 0 0 0 5 1 | b = dell_b
+ 0 36 217 3 0 0 0 0 0 0 0 0 0 1 | c = dell_c
+ 0 3 1 472 34 0 0 0 0 0 0 0 4 2 | d = dell_d
+ 0 0 2 31 576 0 0 0 0 0 0 0 2 0 | e = dell_e
+ 0 44 18 5 0 58 37 0 0 0 0 0 4 2 | f = ipad_a
+ 0 27 12 1 1 7 82 0 0 0 0 0 8 5 | g = ipad_b
+ 0 0 0 0 0 0 0 299 0 0 0 0 0 0 | h = ipad_c
+ 3 3 2 2 0 1 0 0 342 0 0 0 2 0 | i = iphone_a
+ 0 0 0 0 0 0 0 3 0 257 0 0 0 0 | j = iphone_b
+ 0 0 0 0 0 0 0 0 0 0 137 0 0 0 | k = iphone_c
+ 0 0 0 0 0 0 0 0 0 2 0 86 0 0 | l = iphone_d
+ 0 3 0 7 1 0 1 0 0 0 0 0 536 284 | m = nokia_a
+ 0 0 1 1 0 0 0 0 0 0 0 0 208 617 | n = nokia_b
+
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73 Results/Performance results/Device_type_classification_DecisionTrees.txt
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+=== Run information ===
+
+Scheme:weka.classifiers.trees.J48 -C 0.25 -M 2
+Relation: TrainingSet_final
+Instances: 4933
+Attributes: 501
+[list of attributes omitted]
+Test mode:10-fold cross-validation
+
+=== Classifier model (full training set) ===
+
+J48 pruned tree
+------------------
+
+B6 <= 460
+| B10 <= 78
+| | B7 <= 199: dell (1820.0)
+| | B7 > 199
+| | | B33 <= 2
+| | | | B46 <= 1: nokia (2.0)
+| | | | B46 > 1: ipad (4.0)
+| | | B33 > 2: ipad (156.0)
+| B10 > 78
+| | B7 <= 117
+| | | B16 <= 234: iphone (598.0)
+| | | B16 > 234
+| | | | B25 <= 23: ipad (2.0)
+| | | | B25 > 23: iphone (15.0)
+| | B7 > 117
+| | | B34 <= 20
+| | | | B2 <= 211: ipad (451.0/3.0)
+| | | | B2 > 211: nokia (18.0)
+| | | B34 > 20: iphone (83.0)
+B6 > 460
+| B21 <= 12: nokia (1641.0/1.0)
+| B21 > 12: iphone (143.0)
+
+Number of Leaves : 12
+
+Size of the tree : 23
+
+
+Time taken to build model: 1.74 seconds
+
+=== Stratified cross-validation ===
+=== Summary ===
+
+Correctly Classified Instances 4919 99.7162 %
+Incorrectly Classified Instances 14 0.2838 %
+Kappa statistic 0.996
+Mean absolute error 0.0018
+Root mean squared error 0.0376
+Relative absolute error 0.5026 %
+Root relative squared error 8.9494 %
+Total Number of Instances 4933
+
+=== Detailed Accuracy By Class ===
+
+ TP Rate FP Rate Precision Recall F-Measure ROC Area Class
+ 1 0 1 1 1 1 dell
+ 0.992 0.001 0.99 0.992 0.991 0.997 ipad
+ 0.993 0.001 0.995 0.993 0.994 0.998 iphone
+ 0.998 0.001 0.998 0.998 0.998 0.999 nokia
+Weighted Avg. 0.997 0.001 0.997 0.997 0.997 0.999
+
+=== Confusion Matrix ===
+
+ a b c d <-- classified as
+ 1820 0 0 0 | a = dell
+ 0 606 3 2 | b = ipad
+ 0 4 836 2 | c = iphone
+ 0 2 1 1657 | d = nokia
+
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