Running Experiment 0 ... Experiment 0 Trained Neural Network [{'weights': [0.726672957002324, 1.2050694220131777, 1.3681030629284305, -0.024489522429640562, 0.5449730428643168, 0.19013549608288294, 0.3381160665716949, 0.9513206017832169, 0.6380636991077947, -1.2712186352992492], 'output': 0.9555611971546916, 'delta': -1.5803386092467584e-07}, {'weights': [5.915033040308009, 5.442167035148612, 2.077597807808331, 0.9051301462771835, -1.688895085647412, 4.838709119102222, -3.508793522901429, 0.024306335617999147, 2.6341441684584193, -3.407960251982853], 'output': 0.988196992964698, 'delta': -1.867593912712287e-06}, {'weights': [4.013503529607855, -0.038777518178199785, 0.011688929560356007, -1.4288355512095186, -2.407614085159229, 0.9436029917482405, 2.6438026453728263, 1.025377818563548, 2.1344482317553504, -3.488055024094605], 'output': 0.7959705446442993, 'delta': -1.1555276701835419e-06}, {'weights': [2.2972673389498866, 0.2573201777673741, -0.7284453716166991, -1.131183824255368, 2.153305430282502, -0.4280233682269075, 0.34740888449746987, -1.742433665647429, 0.8436101076575292, 1.3882562148839088], 'output': 0.8587995307518468, 'delta': 5.313903485311374e-07}, {'weights': [2.2139833095765673, 0.6430543871932944, 2.508306615440737, -0.24986222549361192, 3.3665235976951506, 1.5654693215913995, 3.0559488183284413, 4.913022708937767, 0.40058542692965377, -3.0967787940720415], 'output': 0.9999888415200393, 'delta': -1.6580681172549039e-06}] [{'weights': [1.362380159379147, 0.370953504678985, 0.28476933562019635, 1.4326251389279272, 0.9118598135964554, 1.67512272063552], 'output': 0.9967061237834287, 'delta': 4.7459010504976305e-07}, {'weights': [0.9241245159959596, 7.157432677011192, 3.780701953355063, -4.017045102305654, 5.2319774076951, -6.014911426734146], 'output': 0.9988098790655241, 'delta': -4.2373853855262235e-07}, {'weights': [0.36666160576938367, 0.25417223342579287, 0.3701351227590687, 0.26078497833268705, 0.26783916245145184, -0.9067875257180661], 'output': 0.618023444717093, 'delta': -2.821902889983932e-07}, {'weights': [0.34920353234451323, 1.6421177095609223, 1.3826290631179283, -1.2942720432453387, 1.689334525093828, -1.2031016304305282], 'output': 0.9192089266971067, 'delta': -2.970058574668074e-06}, {'weights': [-0.22516878997203194, 1.385726677436641, 3.315592462937775, -1.7469261192032848, 1.0984254020811024, -3.152784401522769], 'output': 0.559391221085633, 'delta': -9.112673528363032e-07}] [{'weights': [2.6706177728465605, -7.512700254613982, -0.135439582414262, -1.6630000830455212, -3.6686157260336745, 4.086166624842799], 'output': 0.011887462658458827, 'delta': 5.176707183993101e-06}, {'weights': [-2.482905901157265, 7.679380534227437, 0.10069077084141281, 1.5465538667338694, 3.5545303761096374, -4.290431896473986], 'output': 0.9875964347278846, 'delta': -4.532889770739227e-06}] Experiment 0 Classifications on Test Instances Clump Thickness Uniformity of Cell Size ... Predicted Class Prediction Correct? 0 0.666667 0.777778 ... Malignant Yes 1 1.000000 1.000000 ... Malignant Yes 2 0.777778 0.333333 ... Malignant No 3 0.000000 0.000000 ... Benign Yes 4 0.777778 1.000000 ... Malignant Yes 5 0.111111 0.000000 ... Benign Yes 6 0.000000 0.000000 ... Benign Yes 7 0.444444 0.000000 ... Benign Yes 8 0.000000 0.000000 ... Benign Yes 9 0.555556 0.000000 ... Benign Yes 10 0.666667 0.111111 ... Malignant Yes 11 0.000000 0.000000 ... Benign Yes 12 0.444444 0.000000 ... Benign Yes 13 1.000000 0.333333 ... Malignant Yes 14 0.444444 0.777778 ... Malignant Yes 15 0.222222 0.000000 ... Benign Yes 16 0.000000 0.000000 ... Benign Yes 17 0.666667 0.000000 ... Benign Yes 18 0.555556 0.777778 ... Malignant Yes 19 0.666667 0.333333 ... Malignant Yes 20 0.333333 0.333333 ... Benign Yes 21 0.444444 0.555556 ... Malignant Yes 22 0.444444 0.000000 ... Benign Yes 23 0.000000 0.000000 ... Benign Yes 24 0.777778 0.555556 ... Malignant Yes 25 0.444444 0.111111 ... Benign Yes 26 0.000000 0.000000 ... Benign Yes 27 0.444444 0.000000 ... Benign Yes 28 0.222222 0.222222 ... Malignant Yes 29 0.555556 0.000000 ... Malignant Yes .. ... ... ... ... ... 111 0.222222 0.222222 ... Malignant Yes 112 0.888889 0.777778 ... Malignant Yes 113 0.555556 1.000000 ... Malignant Yes 114 0.777778 1.000000 ... Malignant Yes 115 0.111111 0.000000 ... Benign Yes 116 0.888889 1.000000 ... Malignant Yes 117 0.444444 1.000000 ... Malignant Yes 118 0.222222 0.000000 ... Benign Yes 119 0.444444 0.000000 ... Benign Yes 120 0.444444 0.222222 ... Benign Yes 121 0.444444 0.000000 ... Benign Yes 122 0.444444 0.000000 ... Benign Yes 123 0.333333 0.000000 ... Benign Yes 124 0.555556 0.888889 ... Malignant No 125 0.666667 0.333333 ... Malignant Yes 126 0.444444 0.000000 ... Benign Yes 127 0.000000 0.111111 ... Benign Yes 128 0.222222 0.000000 ... Benign Yes 129 0.444444 0.444444 ... Malignant Yes 130 0.444444 0.333333 ... Malignant Yes 131 0.222222 0.444444 ... Malignant Yes 132 0.333333 0.000000 ... Benign Yes 133 0.333333 0.444444 ... Malignant Yes 134 0.000000 0.000000 ... Benign Yes 135 0.333333 0.000000 ... Benign No 136 0.222222 0.000000 ... Benign Yes 137 0.222222 0.111111 ... Benign Yes 138 0.555556 0.444444 ... Malignant Yes 139 0.777778 0.444444 ... Malignant Yes 140 0.777778 0.777778 ... Malignant Yes [141 rows x 12 columns] Running Experiment 1 ... Experiment 1 Trained Neural Network [{'weights': [7.841230847373527, -2.4826610453300146, -0.42875054702174775, 7.331582789739998, -1.7015469510574166, 0.5452677501408211, 3.600765828746913, 0.08788755121617134, 4.671559709502367, -2.6522457495881944], 'output': 0.11495107348882118, 'delta': -1.0118805004719895e-05}, {'weights': [0.5332534867995268, 0.3179836028533487, -0.25608044705955535, 0.5349358471343961, -0.19223658946675745, 0.47032094814266634, 0.7481665504083003, -0.1694716036200404, -0.010681561215325769, -0.7723003772409094], 'output': 0.3481001398421292, 'delta': 3.534874956373147e-07}, {'weights': [1.5479626336109678, 3.021516430212799, 1.9088459544596788, 2.388424446173041, 1.5781544169813044, -3.933941553802552, 0.006359653898258963, 1.859871820354248, 1.1648152449294784, -0.8621545532751126], 'output': 0.3350591945256428, 'delta': 8.254493681361203e-06}, {'weights': [0.42843993329121993, 0.31498410673232474, 0.3568030861793552, 0.670449159071787, 0.08973140193171843, 0.6425222342389283, 0.21883189820704513, 0.6594604419225987, 0.6520331754480725, -1.6017257208296742], 'output': 0.176081268873472, 'delta': -5.644568327245372e-07}, {'weights': [0.10879907236747735, 4.83901923958402, 8.13009545240274, -1.2163987723539356, 4.323798037905583, 4.184285365607067, 0.40743460748070637, 3.3512621677932666, 1.971516848428493, -5.277534839550936], 'output': 0.00895478785029327, 'delta': -1.8697845170270285e-06}] [{'weights': [0.9134032875543305, 0.7051714824216477, 1.2261911435490738, 1.3399512918677035, 1.1527374311216618, 1.425315662822682], 'output': 0.9193013477572436, 'delta': 4.782423539436222e-07}, {'weights': [6.3204359120791125, 0.08055273196391598, -3.848907338034168, 0.6101119665228562, 4.875567013592574, -4.9716874154949915], 'output': 0.0046993112294115924, 'delta': -3.928271733624268e-06}, {'weights': [7.14212884404428, -0.02389251609279926, -4.560039306785755, 0.6354128453945811, 5.3778179056557205, -5.3645733610104775], 'output': 0.0026787129099929987, 'delta': -3.6576913006192827e-06}, {'weights': [0.7133151054856768, 1.2722870111373021, 1.3042746194108437, 0.49041015090449736, 0.7565898025398317, 1.2203243316391688], 'output': 0.9068140371703565, 'delta': 5.227950255518557e-07}, {'weights': [-0.1181424027794741, 0.6291036003402015, 1.2475315442948023, 0.40170483399462403, 0.13575267668532148, 0.4786736734687009], 'output': 0.7638725720280963, 'delta': 1.1801178602685028e-06}] [{'weights': [2.344315525046111, -6.448702715254793, -7.200827511408929, 1.7477406247511025, 1.0859273885788614, 2.4937945202570675], 'output': 0.9991013513860577, 'delta': 3.7998047663236337e-06}, {'weights': [-1.810816274045349, 6.313533857936902, 7.310601677787915, -1.7068104170572567, -0.9609564874146035, -3.146233319460535], 'output': 0.0008723258242109822, 'delta': -3.8085368683662388e-06}] Experiment 1 Classifications on Test Instances Clump Thickness Uniformity of Cell Size ... Predicted Class Prediction Correct? 0 0.222222 0.000000 ... Benign Yes 1 0.222222 0.000000 ... Benign Yes 2 0.777778 1.000000 ... Malignant Yes 3 0.444444 0.111111 ... Benign Yes 4 0.333333 0.000000 ... Benign Yes 5 0.444444 0.333333 ... Malignant Yes 6 0.222222 0.111111 ... Benign Yes 7 0.222222 0.000000 ... Benign Yes 8 0.000000 0.000000 ... Benign Yes 9 0.444444 1.000000 ... Malignant Yes 10 1.000000 0.222222 ... Malignant Yes 11 0.555556 1.000000 ... Malignant Yes 12 0.000000 0.000000 ... Benign Yes 13 0.222222 0.000000 ... Benign Yes 14 0.333333 0.000000 ... Benign Yes 15 0.444444 0.111111 ... Benign Yes 16 0.333333 0.000000 ... Benign Yes 17 0.333333 0.000000 ... Benign Yes 18 0.000000 0.111111 ... Benign Yes 19 1.000000 1.000000 ... Malignant Yes 20 0.222222 0.000000 ... Benign Yes 21 0.444444 1.000000 ... Malignant Yes 22 1.000000 0.555556 ... Malignant Yes 23 1.000000 1.000000 ... Malignant Yes 24 0.333333 0.000000 ... Benign Yes 25 1.000000 0.888889 ... Malignant Yes 26 0.111111 0.000000 ... Benign Yes 27 0.777778 0.666667 ... Malignant Yes 28 0.777778 1.000000 ... Malignant Yes 29 0.000000 0.000000 ... Benign Yes .. ... ... ... ... ... 110 0.111111 0.000000 ... Benign Yes 111 0.777778 0.333333 ... Malignant Yes 112 0.000000 0.000000 ... Benign Yes 113 0.222222 0.000000 ... Benign Yes 114 0.888889 1.000000 ... Malignant Yes 115 0.444444 0.000000 ... Benign Yes 116 0.333333 0.000000 ... Benign Yes 117 0.222222 0.000000 ... Benign Yes 118 1.000000 0.555556 ... Malignant Yes 119 1.000000 0.666667 ... Malignant Yes 120 1.000000 0.444444 ... Malignant Yes 121 0.777778 0.666667 ... Malignant Yes 122 0.000000 0.000000 ... Benign Yes 123 0.111111 0.000000 ... Benign Yes 124 0.000000 0.111111 ... Benign Yes 125 0.222222 0.000000 ... Benign Yes 126 0.333333 0.111111 ... Benign Yes 127 0.444444 0.000000 ... Benign Yes 128 0.222222 0.000000 ... Benign Yes 129 0.000000 0.000000 ... Benign Yes 130 0.444444 0.000000 ... Benign Yes 131 0.000000 0.000000 ... Benign Yes 132 0.333333 0.000000 ... Benign Yes 133 1.000000 1.000000 ... Malignant Yes 134 0.333333 0.000000 ... Benign Yes 135 0.666667 0.444444 ... Malignant Yes 136 0.000000 0.000000 ... Benign Yes 137 0.222222 0.000000 ... Benign Yes 138 0.222222 0.000000 ... Benign Yes 139 0.000000 0.000000 ... Benign Yes [140 rows x 12 columns] Running Experiment 2 ... Experiment 2 Trained Neural Network [{'weights': [2.8984086384407397, -1.8012057240450208, -0.2496763904200008, -3.4974474897608725, -0.6284612392194936, 1.2348565286756426, 2.515690991778448, 4.634673297765874, 4.329275479840973, -4.4784814677013225], 'output': 0.025964982184193405, 'delta': -2.539821647910256e-07}, {'weights': [-1.1241156330198594, 5.1722661254871065, 4.007437615541866, -0.9333896980508837, 3.8941322668177896, 4.3045355431022, 1.9758375666894608, 1.2185374802344768, 1.9999455679537161, -2.6501104595024327], 'output': 0.09554846953901125, 'delta': -5.617542864703913e-07}, {'weights': [0.19434888930954608, 1.28350466794358, 1.3957983722499254, 1.9929104725928957, 0.3153317392359181, -0.9106791811712692, -0.07067660353543076, 0.06954959090529723, -0.031166440034102807, 0.7783915735171019], 'output': 0.7003078240996043, 'delta': 4.615592616222097e-07}, {'weights': [-0.21381713967564306, 0.1699212746471686, -0.4218834102772397, -0.691414821752379, 0.5259855883733029, 1.4419962300691127, -0.9583109859453052, 0.7342788124110685, -0.6469187753120811, -0.23464759552463915], 'output': 0.4181922842924794, 'delta': 7.427446299611055e-07}, {'weights': [4.150738682225767, -0.8642090843927293, 0.3885864338452409, 4.397633773909287, 0.3355441900851321, 1.4389076722284246, 4.339168102914799, -3.639983613259907, 4.303636932670145, -2.8690407733402505], 'output': 0.1935287884432335, 'delta': -8.63862466555124e-07}] [{'weights': [5.244125973836105, 6.142907288633265, -3.1413331420771753, -1.4603592350698154, 6.073915813582828, -5.771640123591927], 'output': 0.0012496208772679322, 'delta': -2.519741108868487e-07}, {'weights': [4.405470610310931, 2.6719447426647953, -0.9478796890743737, -1.762349210372156, 2.1583015455484906, -2.935768055416989], 'output': 0.02794443810248161, 'delta': -1.1545273521485074e-06}, {'weights': [1.1037628011766105, 1.0742551783039418, 1.2337465498996276, 1.4740369109436637, 0.9939914677194812, 1.3878504725322949], 'output': 0.9605303016141958, 'delta': 2.8395237132177863e-07}, {'weights': [0.9661885617329622, 1.0000411853191025, 1.4174369017110915, 0.9896977475104094, 0.4478830844353563, 1.836619642669918], 'output': 0.9692449602306247, 'delta': 2.6622431893556494e-07}, {'weights': [0.2535382640196922, 0.21266528990823327, -0.14527257946374394, 0.49363323972155365, 0.10723733025305052, -0.11548314118453236], 'output': 0.5092168100834581, 'delta': 1.103361810123591e-07}] [{'weights': [-8.21763163051989, -4.5309861633094775, 2.0045078505672427, 2.2109877773405384, 0.3124166107547719, 2.484879306904697], 'output': 0.9986077787591582, 'delta': 2.4969039199622367e-06}, {'weights': [8.267157973536857, 4.4175671743629605, -2.1480339289068895, -2.3557831447672513, 0.13885100361151106, -2.441813591616803], 'output': 0.0013805198159722975, 'delta': -2.4373479000261844e-06}] Experiment 2 Classifications on Test Instances Clump Thickness Uniformity of Cell Size ... Predicted Class Prediction Correct? 0 0.222222 0.000000 ... Benign Yes 1 0.777778 0.333333 ... Malignant Yes 2 0.111111 0.000000 ... Benign Yes 3 0.111111 0.000000 ... Benign Yes 4 0.111111 0.111111 ... Benign Yes 5 0.777778 0.333333 ... Malignant Yes 6 0.222222 0.000000 ... Benign Yes 7 0.333333 0.000000 ... Benign Yes 8 0.444444 1.000000 ... Malignant Yes 9 0.333333 0.000000 ... Benign Yes 10 0.222222 0.000000 ... Benign Yes 11 0.111111 0.000000 ... Benign Yes 12 0.111111 0.000000 ... Benign Yes 13 0.444444 0.000000 ... Benign Yes 14 0.222222 0.111111 ... Benign Yes 15 0.555556 1.000000 ... Malignant Yes 16 0.444444 0.333333 ... Malignant Yes 17 0.222222 0.111111 ... Benign Yes 18 0.444444 0.222222 ... Benign No 19 0.777778 0.333333 ... Malignant No 20 0.000000 0.000000 ... Benign Yes 21 0.111111 0.000000 ... Benign Yes 22 0.222222 0.000000 ... Benign Yes 23 0.111111 0.000000 ... Benign Yes 24 0.222222 0.000000 ... Benign Yes 25 0.333333 0.000000 ... Benign Yes 26 0.000000 0.000000 ... Benign Yes 27 0.444444 0.000000 ... Benign Yes 28 0.000000 0.000000 ... Benign Yes 29 0.888889 0.333333 ... Malignant Yes .. ... ... ... ... ... 110 0.555556 0.222222 ... Malignant No 111 0.666667 0.444444 ... Malignant Yes 112 1.000000 0.333333 ... Malignant Yes 113 1.000000 1.000000 ... Malignant Yes 114 0.000000 0.000000 ... Benign Yes 115 0.333333 0.000000 ... Benign Yes 116 0.222222 1.000000 ... Malignant Yes 117 0.222222 0.000000 ... Benign Yes 118 0.222222 0.000000 ... Benign Yes 119 1.000000 0.333333 ... Malignant Yes 120 0.888889 1.000000 ... Malignant Yes 121 0.222222 0.000000 ... Benign Yes 122 1.000000 0.777778 ... Malignant Yes 123 0.000000 0.000000 ... Benign Yes 124 0.444444 0.222222 ... Benign No 125 0.222222 0.000000 ... Benign Yes 126 0.444444 0.222222 ... Malignant No 127 0.888889 0.666667 ... Malignant Yes 128 0.000000 0.000000 ... Benign Yes 129 0.000000 0.000000 ... Benign Yes 130 0.444444 0.111111 ... Benign Yes 131 0.222222 0.000000 ... Benign Yes 132 0.333333 0.000000 ... Benign Yes 133 0.777778 1.000000 ... Malignant Yes 134 1.000000 1.000000 ... Malignant Yes 135 0.777778 0.222222 ... Malignant Yes 136 0.444444 0.555556 ... Malignant Yes 137 0.333333 0.000000 ... Benign Yes 138 0.333333 0.111111 ... Benign Yes 139 0.222222 0.000000 ... Benign Yes [140 rows x 12 columns] Running Experiment 3 ... Experiment 3 Trained Neural Network [{'weights': [0.6643137827470439, 0.6101619406022423, -0.05461269184464244, 0.11999305169219107, 0.556079521673832, 0.7412778561791643, 0.092145271466049, 0.5956314368365955, -0.03194271430377884, 1.927487501933618], 'output': 0.9021151519143997, 'delta': 3.086802525693546e-08}, {'weights': [1.987829494217294, 2.4624365007909086, 5.720146449217775, 1.740196461468007, -2.1844895960697674, 3.2295081087518827, 1.986480658685155, 2.503874347247398, 4.952273902539388, -4.67901679270593], 'output': 0.017320232760368415, 'delta': -5.256067856578554e-08}, {'weights': [0.9837689017504727, 1.5108748939501535, 2.6765876764654073, 0.944652196694563, -1.1924262573536197, 1.6023400799841399, 0.83228561065118, 1.0870891266577722, 2.237569317866582, -2.351752969993193], 'output': 0.1126608157177909, 'delta': -4.270431173274766e-08}, {'weights': [1.3920724877602317, 1.7546934388024462, 2.98089463484824, 1.1176426453116923, -1.119403040672205, 1.915976654327606, 1.2738726999930428, 1.2295752294858482, 3.0514281739230555, -2.9300451083476196], 'output': 0.07952212715386976, 'delta': -6.338353754240362e-08}, {'weights': [1.0373455956225952, 0.43370121244314597, 1.2685597879441908, 0.9179528699700883, -0.13271768960849156, 0.991340878537057, 0.6708463062748415, 0.7982667067331118, 1.7806743226625728, -1.7849614782092371], 'output': 0.20110738080249688, 'delta': -2.9075308366623424e-08}] [{'weights': [0.769195037595205, 0.9549878501063911, 1.1131284818348042, 0.3126927054935675, 1.1107568894801654, 1.1358682284163635], 'output': 0.9020280760813364, 'delta': 5.5582706675644626e-08}, {'weights': [1.2162192443985018, 1.0405685443996062, 0.9734747198590178, 1.0383546004606394, 1.1844571148239706, 1.8140522324731387], 'output': 0.9664208031946703, 'delta': 3.541467586152784e-08}, {'weights': [1.4810218932151273, 0.669229073726389, 0.893543346195338, 0.7155406767170092, 0.5085829938716323, 0.7692629423400011], 'output': 0.9150374847032068, 'delta': 5.071066598301447e-08}, {'weights': [-2.5145221228601313, 8.443201365500386, 3.5982698486122153, 4.399331073244642, 1.7157585629738343, -5.737069501273256], 'output': 0.0011591136171051235, 'delta': -1.8785754659864194e-08}, {'weights': [-0.9282839733873889, 4.342654412055545, 1.9624918216471525, 2.7448374138794156, 1.421431150109052, -3.097262097747063], 'output': 0.04171702424787498, 'delta': -1.7160583757590707e-07}] [{'weights': [1.0319738729522197, 2.540695340527849, 1.1782898394142833, -7.778992721668261, -3.605087675681112, 3.2980026593292564], 'output': 0.99950130746759, 'delta': 3.114514315259168e-07}, {'weights': [-1.6413936189338767, -2.4604812504038542, -1.4985634178744767, 7.598312557479372, 3.9270000913798433, -2.593622957614693], 'output': 0.0004754952833406247, 'delta': -2.808971290331458e-07}] Experiment 3 Classifications on Test Instances Clump Thickness Uniformity of Cell Size ... Predicted Class Prediction Correct? 0 0.000000 0.000000 ... Benign Yes 1 0.444444 0.333333 ... Malignant Yes 2 0.222222 0.000000 ... Benign Yes 3 0.333333 0.000000 ... Benign Yes 4 0.222222 0.000000 ... Benign Yes 5 0.222222 0.000000 ... Benign Yes 6 0.333333 0.000000 ... Benign Yes 7 0.777778 0.555556 ... Malignant Yes 8 0.000000 0.000000 ... Benign Yes 9 0.333333 0.000000 ... Benign Yes 10 0.444444 0.000000 ... Benign Yes 11 1.000000 0.777778 ... Malignant Yes 12 0.111111 0.000000 ... Benign Yes 13 0.222222 0.222222 ... Benign Yes 14 0.222222 0.000000 ... Benign Yes 15 0.000000 0.000000 ... Benign Yes 16 0.000000 0.000000 ... Benign Yes 17 0.444444 1.000000 ... Malignant Yes 18 0.111111 0.000000 ... Benign Yes 19 0.555556 1.000000 ... Malignant Yes 20 0.000000 0.000000 ... Benign Yes 21 0.333333 0.000000 ... Benign Yes 22 0.222222 0.000000 ... Benign Yes 23 0.111111 0.000000 ... Benign Yes 24 0.444444 0.222222 ... Benign Yes 25 0.000000 0.000000 ... Benign Yes 26 0.111111 0.000000 ... Benign Yes 27 0.000000 0.000000 ... Benign Yes 28 0.333333 0.222222 ... Benign Yes 29 0.444444 0.000000 ... Benign Yes .. ... ... ... ... ... 109 0.777778 0.666667 ... Malignant Yes 110 0.111111 0.000000 ... Benign Yes 111 1.000000 0.111111 ... Malignant Yes 112 0.444444 0.000000 ... Benign Yes 113 0.111111 0.000000 ... Benign Yes 114 0.111111 0.444444 ... Malignant Yes 115 1.000000 1.000000 ... Malignant Yes 116 0.222222 0.000000 ... Benign Yes 117 0.444444 0.000000 ... Benign Yes 118 0.555556 0.000000 ... Benign Yes 119 0.777778 0.555556 ... Malignant Yes 120 0.000000 0.000000 ... Benign Yes 121 0.333333 0.000000 ... Benign Yes 122 1.000000 1.000000 ... Malignant Yes 123 0.444444 0.222222 ... Benign Yes 124 0.111111 0.444444 ... Malignant Yes 125 0.666667 0.555556 ... Malignant Yes 126 0.444444 0.333333 ... Malignant Yes 127 0.111111 0.000000 ... Benign Yes 128 0.777778 0.111111 ... Benign Yes 129 0.000000 0.000000 ... Benign Yes 130 0.444444 0.000000 ... Benign Yes 131 0.000000 0.000000 ... Benign Yes 132 0.444444 0.000000 ... Benign Yes 133 0.333333 0.333333 ... Malignant No 134 0.333333 0.000000 ... Benign Yes 135 0.000000 0.000000 ... Benign Yes 136 0.666667 0.555556 ... Malignant Yes 137 0.000000 0.222222 ... Benign Yes 138 0.333333 0.000000 ... Benign Yes [139 rows x 12 columns] Running Experiment 4 ... Experiment 4 Trained Neural Network [{'weights': [0.8048998033235003, -0.13792723845423296, 0.4070995470253661, 0.885054893946017, -0.05099779253607156, -0.14896920235988656, -0.2845293732290324, -0.12265811865729148, 1.143069269490588, -1.5695055746865227], 'output': 0.23892420962152444, 'delta': 1.4028807420293138e-07}, {'weights': [4.547443956985733, 1.9253935054678142, -4.931397253786889, -5.689127029070609, 1.7974539199788209, 1.6418639402545618, 2.5296344485847535, 1.3810253800635435, 9.66816122212053e-05, -0.2938468118274629], 'output': 0.7525317563158805, 'delta': 1.3975554141040688e-06}, {'weights': [2.0581085438816387, 4.067371091264677, 2.898158848836591, -0.22708134964770782, 2.4250004404217758, 6.405355805072993, 1.418159678790516, 2.1280137777641612, 1.4934204429971514, -3.835284328702438], 'output': 0.13592969546195624, 'delta': -3.4940598061061433e-07}, {'weights': [2.064584787128515, -0.5385641207197311, 0.7571455510578752, 0.7646099873361647, -0.5136512928194276, -0.5428160530750412, 0.13466650963141147, -0.6789889747193479, 1.3794037050180852, -1.3018704103590513], 'output': 0.43582295312086283, 'delta': 1.1053240883607103e-07}, {'weights': [6.103788046724965, 0.181075879094298, -3.4883099180622725, -3.64701203796538, -0.48589939460584713, 3.444827089317833, 4.09253079410394, 2.6070759689937706, 3.962579090597182, -5.349317797356238], 'output': 0.04693290531407549, 'delta': -3.335755409051305e-07}] [{'weights': [0.6208113346006465, -3.761360459019298, 3.1192903474457623, 1.3458748377264098, 4.806446267945241, -2.081704894843046], 'output': 0.028532239933648583, 'delta': -9.311366159075678e-07}, {'weights': [0.35370096740056883, -4.471881887040718, 5.401492871729177, 0.5204809448270477, 4.988989462247005, -3.37636537403782], 'output': 0.004227608732528997, 'delta': -1.609123833854783e-07}, {'weights': [0.6893883195851356, -3.10963399041027, 2.9499357863049194, 1.0624352758094633, 3.127171547551982, -2.0228235063062883], 'output': 0.03964167612462926, 'delta': -1.0730403804017675e-06}, {'weights': [0.8042241753008579, 1.2371191261546157, 0.200755879208146, 1.0506483610286603, 0.423913650952044, 0.9152170214522567], 'output': 0.9271300790758669, 'delta': 1.452434215239829e-06}, {'weights': [0.9597102262349457, 1.2374824962841056, 0.5526060391772883, 1.30719687551942, 1.0739812622299618, 1.510298301783693], 'output': 0.9666270876593884, 'delta': 1.1034117247659665e-06}] [{'weights': [-4.4116211824021585, -5.989454044924298, -3.4048417946608405, 1.3719106787362414, 2.2535975769495575, 2.6036369720496997], 'output': 0.9968831073314164, 'delta': 7.466194872803258e-06}, {'weights': [4.452043250046997, 6.003516272704429, 3.3375435146049592, -1.4556752696311064, -2.02482009322954, -2.7459332776946996], 'output': 0.0031160553978633087, 'delta': -7.464434099993519e-06}] Experiment 4 Classifications on Test Instances Clump Thickness Uniformity of Cell Size ... Predicted Class Prediction Correct? 0 0.555556 1.000000 ... Malignant Yes 1 0.222222 0.000000 ... Benign Yes 2 0.333333 0.000000 ... Benign Yes 3 0.444444 1.000000 ... Malignant Yes 4 0.000000 0.000000 ... Benign Yes 5 0.444444 0.000000 ... Benign Yes 6 0.000000 0.000000 ... Benign Yes 7 0.444444 0.000000 ... Benign Yes 8 0.111111 0.000000 ... Benign Yes 9 0.333333 0.111111 ... Malignant Yes 10 0.000000 0.000000 ... Benign Yes 11 0.222222 0.000000 ... Benign Yes 12 0.000000 0.000000 ... Benign Yes 13 0.000000 0.222222 ... Benign Yes 14 0.444444 0.555556 ... Malignant Yes 15 0.000000 0.000000 ... Benign Yes 16 0.666667 0.333333 ... Benign No 17 0.555556 0.000000 ... Benign Yes 18 0.222222 0.111111 ... Benign Yes 19 0.222222 0.000000 ... Benign Yes 20 0.555556 0.000000 ... Benign Yes 21 0.000000 0.000000 ... Benign Yes 22 0.444444 0.666667 ... Malignant Yes 23 0.444444 0.666667 ... Malignant Yes 24 0.777778 1.000000 ... Malignant Yes 25 0.444444 0.222222 ... Malignant Yes 26 0.222222 0.111111 ... Benign Yes 27 0.444444 0.000000 ... Benign Yes 28 0.444444 0.777778 ... Malignant Yes 29 0.444444 0.222222 ... Malignant Yes .. ... ... ... ... ... 109 0.222222 0.000000 ... Benign Yes 110 1.000000 1.000000 ... Malignant Yes 111 0.555556 1.000000 ... Malignant Yes 112 0.444444 0.111111 ... Benign Yes 113 0.666667 0.222222 ... Malignant Yes 114 0.000000 0.000000 ... Benign Yes 115 0.222222 0.000000 ... Benign Yes 116 0.000000 0.111111 ... Benign Yes 117 0.777778 0.444444 ... Malignant Yes 118 0.222222 0.000000 ... Benign Yes 119 0.222222 0.000000 ... Benign Yes 120 0.444444 0.000000 ... Benign Yes 121 0.222222 0.111111 ... Benign Yes 122 0.555556 0.555556 ... Malignant Yes 123 0.444444 1.000000 ... Malignant Yes 124 0.888889 0.444444 ... Malignant Yes 125 0.222222 0.000000 ... Benign Yes 126 0.444444 0.000000 ... Benign Yes 127 0.333333 0.000000 ... Benign Yes 128 0.777778 1.000000 ... Malignant Yes 129 0.444444 0.111111 ... Benign Yes 130 0.000000 0.000000 ... Benign Yes 131 0.444444 0.000000 ... Benign Yes 132 0.000000 0.000000 ... Benign Yes 133 0.000000 0.000000 ... Benign Yes 134 0.222222 0.000000 ... Benign Yes 135 0.333333 0.000000 ... Benign Yes 136 0.333333 0.000000 ... Benign Yes 137 0.000000 0.000000 ... Benign Yes 138 0.444444 0.000000 ... Benign Yes [139 rows x 12 columns] Experiments Completed.