=== Run information === Evaluator: weka.attributeSelection.ChiSquaredAttributeEval Search: weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1 Relation: QueryResult-weka.filters.unsupervised.attribute.Remove-R1 Instances: 15000 Attributes: 164 [list of attributes omitted] Evaluation mode: evaluate on all training data === Attribute Selection on all input data === Search Method: Attribute ranking. Attribute Evaluator (supervised, Class (nominal): 158 target_b): Chi-squared Ranking Filter Ranked attributes: 15000 159 target_d 15000 157 controln 9593.84455 32 ic5 3781.29356 156 avggift 969.91845 31 ic4 960.99869 30 ic3 959.61299 150 ramntall 934.53482 29 ic2 896.5367 28 ic1 779.36422 2 dob 231.92311 154 maxramnt 175.64462 155 lastgift 149.7707 151 ngiftall 141.79928 153 minramnt 127.69616 65 lfc2 114.15578 152 cardgift 113.06523 59 pec2 111.30739 24 vietvets 107.01787 53 hhas3 100.92662 56 mc2 99.46164 55 mc1 99.36947 51 hhas1 99.07522 64 lfc1 98.07532 129 vc3 97.51447 41 ic14 96.32811 67 lfc4 94.1749 162 rfa_2a 94.12502 25 wwiivets 87.51361 127 vc1 87.25088 68 lfc5 83.76186 72 lfc9 83.65601 5 age 80.42747 66 lfc3 80.31793 70 lfc7 78.07795 33 ic6 76.72403 71 lfc8 76.25953 161 rfa_2f 75.36585 58 pec1 75.2645 110 ec1 74.67579 125 afc5 74.35555 50 ic23 74.32862 91 eic5 72.25426 123 afc2 71.81641 107 oedc5 71.0594 57 mc3 69.23899 1 state 67.1611 47 ic20 66.87844 42 ic15 66.72822 23 malevet 66.64939 112 ec4 65.37804 69 lfc6 63.95858 115 ec7 63.88083 44 ic17 62.04755 35 ic8 60.95948 63 tpe13 60.77322 90 eic4 59.5436 130 vc4 59.51505 43 ic16 59.001 111 ec3 58.67315 54 hhas4 58.43313 128 vc2 58.10754 163 cluster2 57.07483 22 malemili 55.21389 46 ic19 54.51325 121 sec5 53.85289 94 eic8 53.22881 103 oedc1 53.14323 73 lfc10 52.97325 106 oedc4 52.93478 101 eic15 51.88146 83 occ10 51.76651 37 ic10 50.88158 36 ic9 50.50535 113 ec5 50.23667 78 occ5 49.73693 11 hit 49.33809 45 ic18 49.21216 99 eic13 48.15332 75 occ2 46.08019 61 tpe11 45.22813 124 afc4 44.58077 87 eic1 44.02497 60 tpe10 42.80168 34 ic7 42.57138 81 occ8 42.38935 116 ec8 39.4018 74 occ1 39.27587 96 eic10 39.15098 120 sec4 38.25262 105 oedc3 37.63891 84 occ11 37.31866 76 occ3 36.85248 104 oedc2 36.71471 118 sec2 36.6949 102 eic16 36.5004 77 occ4 36.40651 82 occ9 36.22512 137 ramnt_12 35.73005 52 hhas2 35.19675 88 eic2 34.02777 86 occ13 33.18941 100 eic14 32.95259 62 tpe12 32.62988 97 eic11 31.57881 48 ic21 31.23849 98 eic12 30.63473 117 sec1 30.21697 141 ramnt_16 30.21464 147 ramnt_22 29.99595 95 eic9 29.85822 39 ic12 28.9574 122 afc1 28.52945 108 oedc6 27.78825 93 eic7 27.67147 133 ramnt_8 26.87843 109 oedc7 25.64848 38 ic11 23.40206 92 eic6 23.21657 3 mdmaud 22.37804 89 eic3 21.87768 40 ic13 21.77795 139 ramnt_14 21.53514 79 occ6 20.55012 4 domain 19.82371 126 afc6 19.30564 80 occ7 18.43038 85 occ12 17.82483 119 sec3 17.30939 114 ec6 17.18053 143 ramnt_18 16.85732 149 ramnt_24 14.65017 136 ramnt_11 13.95635 144 ramnt_19 13.46293 49 ic22 12.04113 134 ramnt_9 11.23097 138 ramnt_13 6.98923 26 wealth2 6.96057 6 homeownr 6.1281 146 ramnt_21 5.93913 27 veterans 5.80245 132 ramnt_7 5.73246 8 income 5.59005 135 ramnt_10 5.43767 18 pubhlth 4.87803 164 geocode2 4.81698 14 mbcolect 4.39185 145 ramnt_20 4.36972 19 pubdoity 3.98921 10 wealth1 3.5787 9 gender 3.29983 20 pubnewfn 3.26309 148 ramnt_23 3.24038 140 ramnt_15 2.88258 142 ramnt_17 2.51155 13 mbbooks 2.10555 17 pubgardn 1.86655 15 magfaml 0.5006 21 pubphoto 0.49722 16 magmale 0.39563 160 hphone_d 0.19216 12 mbgarden 0.19082 7 numchld 0.12106 131 ramnt_6 Selected attributes: 159,157,32,156,31,30,150,29,28,2,154,155,151,153,65,152,59,24,53,56,55,51,64,129,41,67,162,25,127,68,72,5,66,70,33,71,161,58,110,125,50,91,123,107,57,1,47,42,23,112,69,115,44,35,63,90,130,43,111,54,128,163,22,46,121,94,103,73,106,101,83,37,36,113,78,11,45,99,75,61,124,87,60,34,81,116,74,96,120,105,84,76,104,118,102,77,82,137,52,88,86,100,62,97,48,98,117,141,147,95,39,122,108,93,133,109,38,92,3,89,40,139,79,4,126,80,85,119,114,143,149,136,144,49,134,138,26,6,146,27,132,8,135,18,164,14,145,19,10,9,20,148,140,142,13,17,15,21,16,160,12,7,131 : 163