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| 1 | +classifier_name,dataset_name,accuracy score |
| 2 | +DecisionTreeClassifier:base,BreastTissue.csv,0.31909090909090904 |
| 3 | +DecisionTreeClassifier:base,Modeling.csv,0.24727272727272726 |
| 4 | +DecisionTreeClassifier:base,SPECTF.csv,0.26090909090909087 |
| 5 | +DecisionTreeClassifier:base,ThoraricSurgery.csv,0.2627272727272727 |
| 6 | +DecisionTreeClassifier:base,blood-transfusion.csv,0.5718461538461539 |
| 7 | +DecisionTreeClassifier:base,dermatology.csv,0.4976923076923077 |
| 8 | +DecisionTreeClassifier:base,ecoli.csv,0.5567692307692307 |
| 9 | +DecisionTreeClassifier:base,glass.csv,0.5283076923076923 |
| 10 | +DecisionTreeClassifier:base,imageSegmentation.csv,0.525 |
| 11 | +DecisionTreeClassifier:base,indian-liver.csv,0.375 |
| 12 | +DecisionTreeClassifier:base,ionosphere.csv,0.5972222222222222 |
| 13 | +DecisionTreeClassifier:base,letter-recognition.csv,0.5125 |
| 14 | +DecisionTreeClassifier:base,liver.csv,0.6936170212765957 |
| 15 | +DecisionTreeClassifier:base,pendigits.csv,0.7659574468085106 |
| 16 | +DecisionTreeClassifier:base,satimage.csv,0.7489361702127659 |
| 17 | +DecisionTreeClassifier:base,sonar.csv,0.7659574468085106 |
| 18 | +DecisionTreeClassifier:base,wholesaleCustomers.csv,0.6938918918918919 |
| 19 | +DecisionTreeClassifier:base,wifi-localization.csv,0.7137837837837837 |
| 20 | +DecisionTreeClassifier:ENANE,BreastTissue.csv,0.6805765765765766 |
| 21 | +DecisionTreeClassifier:ENANE,Modeling.csv,0.6578738738738739 |
| 22 | +DecisionTreeClassifier:ENANE,SPECTF.csv,0.07087087087087084 |
| 23 | +DecisionTreeClassifier:ENANE,ThoraricSurgery.csv,0.035735735735735706 |
| 24 | +DecisionTreeClassifier:ENANE,blood-transfusion.csv,0.04677177177177174 |
| 25 | +DecisionTreeClassifier:ENANE,dermatology.csv,0.01899399399399397 |
| 26 | +DecisionTreeClassifier:ENANE,ecoli.csv,0.1137254901960784 |
| 27 | +DecisionTreeClassifier:ENANE,glass.csv,0.10677361853832439 |
| 28 | +DecisionTreeClassifier:ENANE,imageSegmentation.csv,0.07406417112299463 |
| 29 | +DecisionTreeClassifier:ENANE,indian-liver.csv,0.10401069518716573 |
| 30 | +DecisionTreeClassifier:ENANE,ionosphere.csv,0.11233766233766229 |
| 31 | +DecisionTreeClassifier:ENANE,letter-recognition.csv,0.13658008658008652 |
| 32 | +DecisionTreeClassifier:ENANE,liver.csv,0.16904761904761897 |
| 33 | +DecisionTreeClassifier:ENANE,pendigits.csv,0.13549783549783545 |
| 34 | +DecisionTreeClassifier:ENANE,satimage.csv,0.29999999999999993 |
| 35 | +DecisionTreeClassifier:ENANE,sonar.csv,0.21904761904761902 |
| 36 | +DecisionTreeClassifier:ENANE,wholesaleCustomers.csv,0.29047619047619044 |
| 37 | +DecisionTreeClassifier:ENANE,wifi-localization.csv,0.20476190476190476 |
| 38 | +DecisionTreeClassifier:LSSm,BreastTissue.csv,0.174926943308007 |
| 39 | +DecisionTreeClassifier:LSSm,Modeling.csv,0.1873173582700175 |
| 40 | +DecisionTreeClassifier:LSSm,SPECTF.csv,0.20876680303915837 |
| 41 | +DecisionTreeClassifier:LSSm,ThoraricSurgery.csv,0.19549970777323203 |
| 42 | +DecisionTreeClassifier:LSSm,blood-transfusion.csv,0.7148412698412698 |
| 43 | +DecisionTreeClassifier:LSSm,dermatology.csv,0.7018253968253968 |
| 44 | +DecisionTreeClassifier:LSSm,ecoli.csv,0.7548412698412699 |
| 45 | +DecisionTreeClassifier:LSSm,glass.csv,0.7322222222222223 |
| 46 | +DecisionTreeClassifier:LSSm,imageSegmentation.csv,0.31710000000000005 |
| 47 | +DecisionTreeClassifier:LSSm,indian-liver.csv,0.31625000000000003 |
| 48 | +DecisionTreeClassifier:LSSm,ionosphere.csv,0.31074999999999997 |
| 49 | +DecisionTreeClassifier:LSSm,letter-recognition.csv,0.31745 |
| 50 | +DecisionTreeClassifier:LSSm,liver.csv,0.2290756302521008 |
| 51 | +DecisionTreeClassifier:LSSm,pendigits.csv,0.20554621848739493 |
| 52 | +DecisionTreeClassifier:LSSm,satimage.csv,0.2110084033613445 |
| 53 | +DecisionTreeClassifier:LSSm,sonar.csv,0.23470588235294115 |
| 54 | +DecisionTreeClassifier:LSSm,wholesaleCustomers.csv,0.7994362260792167 |
| 55 | +DecisionTreeClassifier:LSSm,wifi-localization.csv,0.8011770360480641 |
| 56 | +DecisionTreeClassifier:ENN,BreastTissue.csv,0.8103814864263462 |
| 57 | +DecisionTreeClassifier:ENN,Modeling.csv,0.8018365821094793 |
| 58 | +DecisionTreeClassifier:ENN,SPECTF.csv,0.04276827371695175 |
| 59 | +DecisionTreeClassifier:ENN,ThoraricSurgery.csv,0.044945567651632934 |
| 60 | +DecisionTreeClassifier:ENN,blood-transfusion.csv,0.040435458786936204 |
| 61 | +DecisionTreeClassifier:ENN,dermatology.csv,0.04090202177293931 |
| 62 | +DecisionTreeClassifier:ENN,ecoli.csv,0.5828571428571429 |
| 63 | +DecisionTreeClassifier:ENN,glass.csv,0.5623809523809523 |
| 64 | +DecisionTreeClassifier:ENN,imageSegmentation.csv,0.6542857142857142 |
| 65 | +DecisionTreeClassifier:ENN,indian-liver.csv,0.6002380952380952 |
| 66 | +DecisionTreeClassifier:ENN,ionosphere.csv,0.07045454545454544 |
| 67 | +DecisionTreeClassifier:ENN,letter-recognition.csv,0.09318181818181814 |
| 68 | +DecisionTreeClassifier:ENN,liver.csv,0.09090909090909087 |
| 69 | +DecisionTreeClassifier:ENN,pendigits.csv,0.06363636363636359 |
| 70 | +DecisionTreeClassifier:ENN,satimage.csv,0.0475 |
| 71 | +DecisionTreeClassifier:ENN,sonar.csv,0.044 |
| 72 | +DecisionTreeClassifier:ENN,wholesaleCustomers.csv,0.06 |
| 73 | +DecisionTreeClassifier:ENN,wifi-localization.csv,0.0445 |
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