5.4 KiB
5.4 KiB
| 1 | Measure | Value | MaxFeature | |
|---|---|---|---|---|
| 2 | 0 | Accuracy | 0.9612347451543432 | MaxFeature-None |
| 3 | 1 | F1Score | 0.8571428571428572 | MaxFeature-None |
| 4 | 2 | Accuracy | 0.9540559942569993 | MaxFeature-sqrt |
| 5 | 3 | F1Score | 0.815028901734104 | MaxFeature-sqrt |
| 6 | 4 | Accuracy | 0.9526202440775305 | MaxFeature-log2 |
| 7 | 5 | F1Score | 0.8092485549132947 | MaxFeature-log2 |
| 8 | 6 | Accuracy | 0.9741564967695621 | MaxFeature-0.25 |
| 9 | 7 | F1Score | 0.9027027027027028 | MaxFeature-0.25 |
| 10 | 8 | Accuracy | 0.9691313711414213 | MaxFeature-0.5 |
| 11 | 9 | F1Score | 0.8840970350404314 | MaxFeature-0.5 |
| 12 | 10 | Accuracy | 0.9734386216798278 | MaxFeature-0.75 |
| 13 | 11 | F1Score | 0.899728997289973 | MaxFeature-0.75 |
| 14 | 12 | Accuracy | 0.964824120603015 | MaxFeature-None |
| 15 | 13 | F1Score | 0.8672086720867209 | MaxFeature-None |
| 16 | 14 | Accuracy | 0.9576453697056713 | MaxFeature-sqrt |
| 17 | 15 | F1Score | 0.8374655647382921 | MaxFeature-sqrt |
| 18 | 16 | Accuracy | 0.9526202440775305 | MaxFeature-log2 |
| 19 | 17 | F1Score | 0.8081395348837209 | MaxFeature-log2 |
| 20 | 18 | Accuracy | 0.9734386216798278 | MaxFeature-0.25 |
| 21 | 19 | F1Score | 0.9008042895442359 | MaxFeature-0.25 |
| 22 | 20 | Accuracy | 0.9727207465900933 | MaxFeature-0.5 |
| 23 | 21 | F1Score | 0.8961748633879781 | MaxFeature-0.5 |
| 24 | 22 | Accuracy | 0.9669777458722182 | MaxFeature-0.75 |
| 25 | 23 | F1Score | 0.875 | MaxFeature-0.75 |
| 26 | 24 | Accuracy | 0.9619526202440776 | MaxFeature-None |
| 27 | 25 | F1Score | 0.8571428571428572 | MaxFeature-None |
| 28 | 26 | Accuracy | 0.9748743718592965 | MaxFeature-sqrt |
| 29 | 27 | F1Score | 0.9046321525885558 | MaxFeature-sqrt |
| 30 | 28 | Accuracy | 0.9511844938980617 | MaxFeature-log2 |
| 31 | 29 | F1Score | 0.8045977011494253 | MaxFeature-log2 |
| 32 | 30 | Accuracy | 0.9691313711414213 | MaxFeature-0.25 |
| 33 | 31 | F1Score | 0.8847184986595175 | MaxFeature-0.25 |
| 34 | 32 | Accuracy | 0.9705671213208902 | MaxFeature-0.5 |
| 35 | 33 | F1Score | 0.8906666666666666 | MaxFeature-0.5 |
| 36 | 34 | Accuracy | 0.9662598707824839 | MaxFeature-0.75 |
| 37 | 35 | F1Score | 0.872628726287263 | MaxFeature-0.75 |
| 38 | 36 | Accuracy | 0.9662598707824839 | MaxFeature-None |
| 39 | 37 | F1Score | 0.873994638069705 | MaxFeature-None |
| 40 | 38 | Accuracy | 0.95908111988514 | MaxFeature-sqrt |
| 41 | 39 | F1Score | 0.8438356164383561 | MaxFeature-sqrt |
| 42 | 40 | Accuracy | 0.9490308686288585 | MaxFeature-log2 |
| 43 | 41 | F1Score | 0.8011204481792717 | MaxFeature-log2 |
| 44 | 42 | Accuracy | 0.9755922469490309 | MaxFeature-0.25 |
| 45 | 43 | F1Score | 0.9050279329608939 | MaxFeature-0.25 |
| 46 | 44 | Accuracy | 0.9712849964106246 | MaxFeature-0.5 |
| 47 | 45 | F1Score | 0.8901098901098903 | MaxFeature-0.5 |
| 48 | 46 | Accuracy | 0.9705671213208902 | MaxFeature-0.75 |
| 49 | 47 | F1Score | 0.888888888888889 | MaxFeature-0.75 |
| 50 | 48 | Accuracy | 0.9619526202440776 | MaxFeature-None |
| 51 | 49 | F1Score | 0.8579088471849866 | MaxFeature-None |
| 52 | 50 | Accuracy | 0.9576453697056713 | MaxFeature-sqrt |
| 53 | 51 | F1Score | 0.8319088319088319 | MaxFeature-sqrt |
| 54 | 52 | Accuracy | 0.9432878679109835 | MaxFeature-log2 |
| 55 | 53 | F1Score | 0.774928774928775 | MaxFeature-log2 |
| 56 | 54 | Accuracy | 0.9619526202440776 | MaxFeature-0.25 |
| 57 | 55 | F1Score | 0.8594164456233423 | MaxFeature-0.25 |
| 58 | 56 | Accuracy | 0.9626704953338119 | MaxFeature-0.5 |
| 59 | 57 | F1Score | 0.8624338624338624 | MaxFeature-0.5 |
| 60 | 58 | Accuracy | 0.9641062455132807 | MaxFeature-0.75 |
| 61 | 59 | F1Score | 0.8641304347826086 | MaxFeature-0.75 |
| 62 | 60 | Accuracy | 0.9612347451543432 | MaxFeature-None |
| 63 | 61 | F1Score | 0.8571428571428572 | MaxFeature-None |
| 64 | 62 | Accuracy | 0.9547738693467337 | MaxFeature-sqrt |
| 65 | 63 | F1Score | 0.8205128205128205 | MaxFeature-sqrt |
| 66 | 64 | Accuracy | 0.9511844938980617 | MaxFeature-log2 |
| 67 | 65 | F1Score | 0.8121546961325967 | MaxFeature-log2 |
| 68 | 66 | Accuracy | 0.9755922469490309 | MaxFeature-0.25 |
| 69 | 67 | F1Score | 0.9065934065934066 | MaxFeature-0.25 |
| 70 | 68 | Accuracy | 0.9705671213208902 | MaxFeature-0.5 |
| 71 | 69 | F1Score | 0.8894878706199462 | MaxFeature-0.5 |
| 72 | 70 | Accuracy | 0.968413496051687 | MaxFeature-0.75 |
| 73 | 71 | F1Score | 0.8848167539267016 | MaxFeature-0.75 |
| 74 | 72 | Accuracy | 0.9633883704235463 | MaxFeature-None |
| 75 | 73 | F1Score | 0.8625336927223719 | MaxFeature-None |
| 76 | 74 | Accuracy | 0.9626704953338119 | MaxFeature-sqrt |
| 77 | 75 | F1Score | 0.8539325842696629 | MaxFeature-sqrt |
| 78 | 76 | Accuracy | 0.9425699928212491 | MaxFeature-log2 |
| 79 | 77 | F1Score | 0.7660818713450294 | MaxFeature-log2 |
| 80 | 78 | Accuracy | 0.9705671213208902 | MaxFeature-0.25 |
| 81 | 79 | F1Score | 0.8894878706199462 | MaxFeature-0.25 |
| 82 | 80 | Accuracy | 0.9770279971284996 | MaxFeature-0.5 |
| 83 | 81 | F1Score | 0.9148936170212766 | MaxFeature-0.5 |
| 84 | 82 | Accuracy | 0.9633883704235463 | MaxFeature-0.75 |
| 85 | 83 | F1Score | 0.8640000000000001 | MaxFeature-0.75 |
| 86 | 84 | Accuracy | 0.9662598707824839 | MaxFeature-None |
| 87 | 85 | F1Score | 0.8733153638814016 | MaxFeature-None |
| 88 | 86 | Accuracy | 0.95908111988514 | MaxFeature-sqrt |
| 89 | 87 | F1Score | 0.841225626740947 | MaxFeature-sqrt |
| 90 | 88 | Accuracy | 0.9440057430007178 | MaxFeature-log2 |
| 91 | 89 | F1Score | 0.7758620689655172 | MaxFeature-log2 |
| 92 | 90 | Accuracy | 0.9763101220387652 | MaxFeature-0.25 |
| 93 | 91 | F1Score | 0.9095890410958904 | MaxFeature-0.25 |
| 94 | 92 | Accuracy | 0.9712849964106246 | MaxFeature-0.5 |
| 95 | 93 | F1Score | 0.8895027624309393 | MaxFeature-0.5 |
| 96 | 94 | Accuracy | 0.9626704953338119 | MaxFeature-0.75 |
| 97 | 95 | F1Score | 0.8594594594594595 | MaxFeature-0.75 |
| 98 | 96 | Accuracy | 0.9619526202440776 | MaxFeature-None |
| 99 | 97 | F1Score | 0.8579088471849866 | MaxFeature-None |
| 100 | 98 | Accuracy | 0.9626704953338119 | MaxFeature-sqrt |
| 101 | 99 | F1Score | 0.8452380952380952 | MaxFeature-sqrt |
| 102 | 100 | Accuracy | 0.9547738693467337 | MaxFeature-log2 |
| 103 | 101 | F1Score | 0.8130563798219584 | MaxFeature-log2 |
| 104 | 102 | Accuracy | 0.9705671213208902 | MaxFeature-0.25 |
| 105 | 103 | F1Score | 0.8876712328767123 | MaxFeature-0.25 |
| 106 | 104 | Accuracy | 0.9777458722182341 | MaxFeature-0.5 |
| 107 | 105 | F1Score | 0.9155313351498637 | MaxFeature-0.5 |
| 108 | 106 | Accuracy | 0.9655419956927495 | MaxFeature-0.75 |
| 109 | 107 | F1Score | 0.8702702702702703 | MaxFeature-0.75 |
| 110 | 108 | Accuracy | 0.9655419956927495 | MaxFeature-None |
| 111 | 109 | F1Score | 0.8702702702702703 | MaxFeature-None |
| 112 | 110 | Accuracy | 0.9490308686288585 | MaxFeature-sqrt |
| 113 | 111 | F1Score | 0.8116710875331564 | MaxFeature-sqrt |
| 114 | 112 | Accuracy | 0.9526202440775305 | MaxFeature-log2 |
| 115 | 113 | F1Score | 0.8070175438596491 | MaxFeature-log2 |
| 116 | 114 | Accuracy | 0.9669777458722182 | MaxFeature-0.25 |
| 117 | 115 | F1Score | 0.8776595744680851 | MaxFeature-0.25 |
| 118 | 116 | Accuracy | 0.9734386216798278 | MaxFeature-0.5 |
| 119 | 117 | F1Score | 0.8969359331476323 | MaxFeature-0.5 |
| 120 | 118 | Accuracy | 0.9748743718592965 | MaxFeature-0.75 |
| 121 | 119 | F1Score | 0.9030470914127423 | MaxFeature-0.75 |