Running Experiment 0 ... Experiment 0 Trained Neural Network [{'weights': [1.1157512218947359, 2.3705371741539416, -4.95178247349974, -4.494579073191679, 4.013049403733031], 'output': 0.48000009672407734, 'delta': 3.947605317632054e-05}, {'weights': [0.555393488406417, -2.3827875749704948, 2.2575248387653186, 2.4402705466238332, -1.062632251980564], 'output': 0.7425124521807767, 'delta': -0.00046572939216730087}, {'weights': [1.0808059071918112, 0.7876482748785004, 0.3911878531968363, 0.5123752134856261, 1.3383731176492248], 'output': 0.9368495035763182, 'delta': -3.96803354813599e-05}, {'weights': [-1.0154777135024262, -2.1835721486591595, 4.382357215688103, 4.530369042708372, -4.266615661763214], 'output': 0.4034799009593256, 'delta': -3.677092888349368e-05}, {'weights': [-1.9563495558755144, -3.004571899705825, 6.734010181767214, 6.265331545489069, -6.418975620628889], 'output': 0.28758947976922944, 'delta': -4.840266588068118e-06}] [{'weights': [1.165942146919195, 0.24246381038025358, 1.0105878703938955, -0.244206691882768, -0.4692781402516327, 0.9078939408161815], 'output': 0.9137932198801657, 'delta': 5.3851424229704917e-05}, {'weights': [-3.6771683638738843, 4.807497136510482, 0.7028303240018815, 4.375183508291038, 5.185337582104262, -0.2002460161707062], 'output': 0.9960074821094994, 'delta': -0.0006926990858641078}, {'weights': [-2.7840736860438686, 0.37140016706234424, -0.5146183815165343, 2.260931066964667, 2.5835077804941045, -1.5882516642591242], 'output': 0.18607352761966875, 'delta': -6.4651418747589324e-06}, {'weights': [1.2610768736875353, -1.1764139934454578, -0.03729035458108308, -0.5890901168542527, -1.162945090008214, 0.550981757832211], 'output': 0.4196341292526074, 'delta': 0.0002217478961466932}, {'weights': [-6.266438072209187, 1.4248951843702768, -2.0440406472061428, 4.916142411152149, 7.724120366383723, -4.843326388772381], 'output': 0.010951868603662188, 'delta': 3.2008845753236042e-09}] [{'weights': [1.084944322189171, -7.930869057153819, -3.0768235359886322, 1.439946709090539, -5.226656480509451, 2.123558298447315], 'output': 0.00808410816762415, 'delta': 0.0006122695236287454}, {'weights': [-1.0674496016161077, 8.523943425887023, -2.3320466864866343, -1.3664803414671318, -8.346296370363588, -2.312917558196998], 'output': 0.9837424095511195, 'delta': -0.0004944606390879417}, {'weights': [-2.7434326452526148, 1.6325475693197142, 2.6161447494423733, -2.8685675883031343, 7.816969125555129, -3.303550143916237], 'output': 0.008035693168705777, 'delta': -8.619554103211924e-08}] Experiment 0 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.333333 0.166667 0.474576 ... Iris-versicolor Iris-versicolor Yes 1 0.527778 0.583333 0.745763 ... Iris-virginica Iris-virginica Yes 2 0.750000 0.500000 0.627119 ... Iris-versicolor Iris-versicolor Yes 3 0.500000 0.416667 0.610169 ... Iris-versicolor Iris-versicolor Yes 4 0.166667 0.166667 0.389831 ... Iris-versicolor Iris-versicolor Yes 5 0.388889 1.000000 0.084746 ... Iris-setosa Iris-setosa Yes 6 0.222222 0.750000 0.152542 ... Iris-setosa Iris-setosa Yes 7 0.500000 0.333333 0.627119 ... Iris-versicolor Iris-versicolor Yes 8 0.388889 0.375000 0.542373 ... Iris-versicolor Iris-versicolor Yes 9 0.361111 0.333333 0.661017 ... Iris-virginica Iris-virginica Yes 10 0.527778 0.083333 0.593220 ... Iris-versicolor Iris-versicolor Yes 11 0.194444 0.583333 0.084746 ... Iris-setosa Iris-setosa Yes 12 0.944444 0.250000 1.000000 ... Iris-virginica Iris-virginica Yes 13 0.000000 0.416667 0.016949 ... Iris-setosa Iris-setosa Yes 14 0.194444 0.416667 0.101695 ... Iris-setosa Iris-setosa Yes 15 0.805556 0.416667 0.813559 ... Iris-virginica Iris-virginica Yes 16 0.694444 0.416667 0.762712 ... Iris-virginica Iris-virginica Yes 17 0.472222 0.375000 0.593220 ... Iris-versicolor Iris-versicolor Yes 18 0.194444 0.541667 0.067797 ... Iris-setosa Iris-setosa Yes 19 0.555556 0.333333 0.694915 ... Iris-virginica Iris-versicolor No 20 0.944444 0.750000 0.966102 ... Iris-virginica Iris-virginica Yes 21 0.583333 0.333333 0.779661 ... Iris-virginica Iris-virginica Yes 22 0.388889 0.750000 0.118644 ... Iris-setosa Iris-setosa Yes 23 0.166667 0.416667 0.067797 ... Iris-setosa Iris-setosa Yes 24 0.666667 0.541667 0.796610 ... Iris-virginica Iris-virginica Yes 25 0.555556 0.583333 0.779661 ... Iris-virginica Iris-virginica Yes 26 0.194444 0.500000 0.033898 ... Iris-setosa Iris-setosa Yes 27 0.305556 0.583333 0.084746 ... Iris-setosa Iris-setosa Yes 28 0.555556 0.125000 0.576271 ... Iris-versicolor Iris-versicolor Yes 29 0.500000 0.375000 0.627119 ... Iris-versicolor Iris-versicolor Yes [30 rows x 7 columns] Running Experiment 1 ... Experiment 1 Trained Neural Network [{'weights': [-1.7621093977855318, -0.3278529736989985, 7.533661739915617, 4.340062138451795, -7.065623420129662], 'output': 0.8559341827391842, 'delta': -3.248865423556765e-06}, {'weights': [0.3181811130358275, -0.11479022135732847, -0.749383635468388, 0.30007675136450057, 0.19317934318015295], 'output': 0.5023610410080274, 'delta': -2.465967546670495e-05}, {'weights': [-0.3097513504804366, -2.9038794953704268, 3.8074379830337697, 2.787367241412676, -1.9680765256311623], 'output': 0.8891486947676007, 'delta': -0.0001898702091106025}, {'weights': [-1.4854010444445573, -2.749280987525445, 5.799538868208581, 3.7825811177430246, -3.971123350938441], 'output': 0.8706411822724147, 'delta': -3.839635204450674e-05}, {'weights': [1.2819836557066908, 0.3067610979684149, -3.2108737626576573, -1.3768931584604127, 1.6461095555752967], 'output': 0.22460079805898744, 'delta': 0.00015811764531070054}] [{'weights': [-0.7389894163334946, -0.06512445676881036, 0.8179950245382481, 0.29911354781394545, -0.0681801532151059, 0.532661334521832], 'output': 0.6984326769882417, 'delta': -3.665011368742696e-05}, {'weights': [5.443685005809003, -0.9630198647173477, 2.2440544716061703, 4.637084169062599, -2.962101476607577, -5.874316854258914], 'output': 0.975122025230097, 'delta': -3.8439763268503045e-08}, {'weights': [4.175239608543462, -0.8532634076355319, 2.3107512794702783, 3.118355537344648, -2.2215476072074454, -4.286463684294168], 'output': 0.9580824479551008, 'delta': -1.0076813396485967e-06}, {'weights': [3.0876079661809945, 0.41331130565907265, 5.491042324514144, 6.343351297790007, -1.4423605785001363, -1.8558102188561527], 'output': 0.9999845175992528, 'delta': -0.0005105998492500198}, {'weights': [0.7566918611409847, 0.2651076105079627, -2.251592610106888, -1.5781274119417623, 0.7369696910502228, 0.3690508194792928], 'output': 0.11299065706807772, 'delta': 0.00040899041833020503}] [{'weights': [-0.3702671411240558, -4.671631233444587, -4.0339851420090325, -7.625078255706493, 1.7763745185566846, 3.3058169616686417], 'output': 2.768126491293227e-06, 'delta': 0.0005168355175133079}, {'weights': [-0.09289389141199547, -6.014152893607995, -4.051159690946715, 8.138072856371911, -3.1048885336605183, -2.2558479102118816], 'output': 0.013660629891229934, 'delta': -0.0003669878190727377}, {'weights': [-1.5262935282780088, 5.8654712573958685, 4.200595162019835, 0.6550244747667381, -1.8347205561910729, -4.591656524840444], 'output': 0.9893775356826998, 'delta': -1.2123932508466561e-06}] Experiment 1 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.361111 0.208333 0.491525 ... Iris-versicolor Iris-versicolor Yes 1 0.416667 0.833333 0.033898 ... Iris-setosa Iris-setosa Yes 2 0.194444 0.666667 0.067797 ... Iris-setosa Iris-setosa Yes 3 0.555556 0.541667 0.627119 ... Iris-versicolor Iris-versicolor Yes 4 0.388889 0.333333 0.525424 ... Iris-versicolor Iris-versicolor Yes 5 0.111111 0.500000 0.101695 ... Iris-setosa Iris-setosa Yes 6 0.416667 0.291667 0.491525 ... Iris-versicolor Iris-versicolor Yes 7 0.722222 0.500000 0.796610 ... Iris-virginica Iris-virginica Yes 8 0.555556 0.375000 0.779661 ... Iris-virginica Iris-virginica Yes 9 0.611111 0.416667 0.813559 ... Iris-virginica Iris-virginica Yes 10 0.083333 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 11 0.250000 0.291667 0.491525 ... Iris-versicolor Iris-versicolor Yes 12 0.416667 0.291667 0.694915 ... Iris-virginica Iris-virginica Yes 13 0.222222 0.708333 0.084746 ... Iris-setosa Iris-setosa Yes 14 0.138889 0.583333 0.101695 ... Iris-setosa Iris-setosa Yes 15 0.222222 0.541667 0.118644 ... Iris-setosa Iris-setosa Yes 16 0.722222 0.458333 0.661017 ... Iris-versicolor Iris-versicolor Yes 17 0.555556 0.291667 0.661017 ... Iris-virginica Iris-virginica Yes 18 0.583333 0.375000 0.559322 ... Iris-versicolor Iris-versicolor Yes 19 0.388889 0.208333 0.677966 ... Iris-virginica Iris-virginica Yes 20 0.194444 0.625000 0.050847 ... Iris-setosa Iris-setosa Yes 21 0.222222 0.583333 0.084746 ... Iris-setosa Iris-setosa Yes 22 0.444444 0.416667 0.694915 ... Iris-virginica Iris-virginica Yes 23 0.638889 0.416667 0.576271 ... Iris-versicolor Iris-versicolor Yes 24 0.694444 0.333333 0.644068 ... Iris-versicolor Iris-versicolor Yes 25 0.416667 0.291667 0.694915 ... Iris-virginica Iris-virginica Yes 26 0.388889 0.416667 0.542373 ... Iris-versicolor Iris-versicolor Yes 27 0.138889 0.583333 0.152542 ... Iris-setosa Iris-setosa Yes 28 0.916667 0.416667 0.949153 ... Iris-virginica Iris-virginica Yes 29 0.694444 0.500000 0.830508 ... Iris-virginica Iris-virginica Yes [30 rows x 7 columns] Running Experiment 2 ... Experiment 2 Trained Neural Network [{'weights': [-1.2142064700154613, -1.4941035393486424, 6.647458869560335, 2.751657476306004, -4.766655017829066], 'output': 0.1463174416214523, 'delta': -8.27546441151506e-05}, {'weights': [-1.42105966960869, -1.8882173739544483, 5.32467798684546, 2.4712189926494674, -2.7970132037611988], 'output': 0.34552344712003996, 'delta': -0.0004125685952565951}, {'weights': [0.8801828763463208, 0.7196579142524603, -2.7844601980494494, -0.9689795276567905, 2.69355678496974], 'output': 0.8419143437605053, 'delta': 6.966566712390654e-05}, {'weights': [0.3345726334555987, 0.14533091390509306, -1.713206261020416, -0.1534944347539882, 0.9010120798460761], 'output': 0.5705170762168659, 'delta': 3.5552890797164014e-05}, {'weights': [-2.0002419751927283, -2.403830994491591, 8.557418385266145, 2.626776901154227, -5.240711094953176], 'output': 0.11831600611258827, 'delta': -3.727673079666092e-05}] [{'weights': [3.9714704988194316, 3.0525020368981126, -3.3233409186398797, -1.4978915629517788, 5.182822010087492, -4.134154825113763], 'output': 0.0039202234402229506, 'delta': 2.943235511381326e-07}, {'weights': [3.1082009262174597, 3.9819920273219696, -0.5270101666146649, 0.02681198956032455, 4.1782472140239495, -0.9047810817234825], 'output': 0.7294487050342041, 'delta': -0.0011537590334948474}, {'weights': [1.026704137576986, 0.8775525928201655, 1.1429723186068097, 0.746092676807115, 0.56721679876947, 1.43758322312687], 'output': 0.9659761426349165, 'delta': -1.5719924903887324e-05}, {'weights': [-4.296572366216551, -4.898577706951172, 0.5692750736164698, 0.16505616528756037, -5.072324458793186, 1.0529623495726261], 'output': 0.21501386464279787, 'delta': 0.0012916923838323388}, {'weights': [4.494798652618256, 3.569863550337441, -3.6088935266873716, -1.5410404697639424, 5.449917447740046, -4.7123088614716035], 'output': 0.0022514507028970343, 'delta': 2.3213280030272803e-07}] [{'weights': [-3.5897675690504203, -4.854931727795743, -0.3176179005600969, 6.115215800373181, -2.9692943764830577, 0.08868387443561722], 'output': 0.07831583230985889, 'delta': 0.0006795914414073477}, {'weights': [-5.4258605276325484, 4.917168297424183, 0.2512162381091841, -6.710185791983116, -6.12016626659631, 0.4132025099693461], 'output': 0.9407471562373888, 'delta': -0.0006373465134504234}, {'weights': [5.315507016096014, 0.2736947696957868, -2.4415415233880964, -4.604188270861997, 6.150724651537662, -3.380105252857258], 'output': 0.0015098890079400502, 'delta': -7.074575492335035e-09}] Experiment 2 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.305556 0.791667 0.118644 ... Iris-setosa Iris-setosa Yes 1 0.472222 0.083333 0.677966 ... Iris-virginica Iris-virginica Yes 2 0.083333 0.583333 0.067797 ... Iris-setosa Iris-setosa Yes 3 0.472222 0.291667 0.694915 ... Iris-versicolor Iris-virginica No 4 0.333333 0.625000 0.050847 ... Iris-setosa Iris-setosa Yes 5 0.333333 0.125000 0.508475 ... Iris-versicolor Iris-versicolor Yes 6 0.138889 0.458333 0.101695 ... Iris-setosa Iris-setosa Yes 7 0.361111 0.416667 0.593220 ... Iris-versicolor Iris-versicolor Yes 8 0.138889 0.416667 0.067797 ... Iris-setosa Iris-setosa Yes 9 0.250000 0.875000 0.084746 ... Iris-setosa Iris-setosa Yes 10 0.083333 0.500000 0.067797 ... Iris-setosa Iris-setosa Yes 11 0.555556 0.208333 0.677966 ... Iris-virginica Iris-virginica Yes 12 0.138889 0.416667 0.067797 ... Iris-setosa Iris-setosa Yes 13 0.583333 0.458333 0.762712 ... Iris-virginica Iris-virginica Yes 14 0.472222 0.583333 0.593220 ... Iris-versicolor Iris-versicolor Yes 15 0.305556 0.416667 0.593220 ... Iris-versicolor Iris-versicolor Yes 16 0.555556 0.208333 0.661017 ... Iris-versicolor Iris-virginica No 17 0.166667 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 18 0.611111 0.416667 0.762712 ... Iris-virginica Iris-virginica Yes 19 0.500000 0.250000 0.779661 ... Iris-virginica Iris-virginica Yes 20 0.583333 0.500000 0.728814 ... Iris-virginica Iris-virginica Yes 21 0.666667 0.208333 0.813559 ... Iris-virginica Iris-virginica Yes 22 0.472222 0.416667 0.644068 ... Iris-virginica Iris-virginica Yes 23 0.250000 0.583333 0.067797 ... Iris-setosa Iris-setosa Yes 24 0.416667 0.291667 0.525424 ... Iris-versicolor Iris-versicolor Yes 25 0.194444 0.125000 0.389831 ... Iris-versicolor Iris-versicolor Yes 26 0.777778 0.416667 0.830508 ... Iris-virginica Iris-virginica Yes 27 0.500000 0.333333 0.508475 ... Iris-versicolor Iris-versicolor Yes 28 0.833333 0.375000 0.898305 ... Iris-virginica Iris-virginica Yes 29 0.388889 0.250000 0.423729 ... Iris-versicolor Iris-versicolor Yes [30 rows x 7 columns] Running Experiment 3 ... Experiment 3 Trained Neural Network [{'weights': [1.4254180638090899, 1.3798368673730075, 0.8235539525839718, 1.1821427333952217, 2.048450689069057], 'output': 0.9846610658304971, 'delta': 1.1819565436273529e-05}, {'weights': [0.17851642740617402, 0.8381362028789072, -0.2999662573205372, 0.6079664744568537, 1.4219076675966453], 'output': 0.8788909233408317, 'delta': 4.347984972168295e-05}, {'weights': [0.8929735601087078, -1.8204621058898278, 2.245384885513391, 1.8690071735386844, -1.1071276270957224], 'output': 0.6390149385975691, 'delta': -0.0003190347584454448}, {'weights': [-0.352372925226787, -2.78909142602335, 4.420339298771417, 3.3257570700558032, -2.596358256472492], 'output': 0.5249054288517505, 'delta': -0.00013099285638108727}, {'weights': [0.010000435902067043, -1.0331145503570667, 8.594453461934451, 4.8204721746845385, -8.03020450736392], 'output': 0.17783400407122427, 'delta': -3.872743841455807e-06}] [{'weights': [-0.705019110359972, -0.4632165485433921, 0.3560589489603679, 2.736385318895215, 2.726311489702302, -1.9817305860398675], 'output': 0.28204284765162885, 'delta': -7.55757449014677e-05}, {'weights': [-0.6579926118641983, -0.7087983352195198, 3.864621262326166, 6.503783793931373, 6.135386398903201, -2.24991124330944], 'output': 0.9693423342027289, 'delta': -0.0005401608335503631}, {'weights': [-1.3883640836718971, -0.4808599610348566, 0.5400372656300593, 1.529133062239018, 3.8331661627920486, -2.406505381869094], 'output': 0.08574063112951795, 'delta': 6.759850670830341e-06}, {'weights': [0.9623516021027625, 0.9983080625494113, 1.308186221616948, 0.3751350690527204, 0.8506485238695772, 2.111743204785843], 'output': 0.9940646276565724, 'delta': 2.5296429441457936e-05}, {'weights': [-3.141654916494169, -1.6637631917912057, 0.49811445887260697, 4.137451426551909, 7.993205758838327, -4.340157800719178], 'output': 0.0067976843622344464, 'delta': 3.5270626386248556e-07}] [{'weights': [-3.2791998887309983, -7.768026119543198, -1.816300122483838, 1.7862661582934347, -2.711773010639271, 2.8001680255077503], 'output': 0.01707220582253798, 'delta': 0.00047765503945878385}, {'weights': [-0.059505912809625416, 9.002482654000735, -2.6549002282902885, -1.8531572347906293, -6.839288924406003, -2.57513969361305], 'output': 0.9823338776408091, 'delta': -0.000473704188345667}, {'weights': [3.200681125395467, 2.400941461819631, 2.2277093949102875, -4.024714925255675, 6.017009737678624, -4.699609233500296], 'output': 0.005280365445295225, 'delta': -6.385396633140619e-08}] Experiment 3 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.333333 0.250000 0.576271 ... Iris-versicolor Iris-versicolor Yes 1 0.333333 0.208333 0.508475 ... Iris-versicolor Iris-versicolor Yes 2 0.666667 0.458333 0.779661 ... Iris-virginica Iris-virginica Yes 3 0.305556 0.708333 0.084746 ... Iris-setosa Iris-setosa Yes 4 0.722222 0.458333 0.694915 ... Iris-virginica Iris-virginica Yes 5 0.527778 0.333333 0.644068 ... Iris-virginica Iris-virginica Yes 6 0.944444 0.416667 0.864407 ... Iris-virginica Iris-virginica Yes 7 0.250000 0.625000 0.084746 ... Iris-setosa Iris-setosa Yes 8 0.666667 0.416667 0.677966 ... Iris-versicolor Iris-versicolor Yes 9 0.611111 0.416667 0.711864 ... Iris-virginica Iris-virginica Yes 10 0.305556 0.791667 0.050847 ... Iris-setosa Iris-setosa Yes 11 0.527778 0.375000 0.559322 ... Iris-versicolor Iris-versicolor Yes 12 0.583333 0.291667 0.728814 ... Iris-virginica Iris-virginica Yes 13 0.500000 0.416667 0.661017 ... Iris-virginica Iris-virginica Yes 14 0.222222 0.750000 0.084746 ... Iris-setosa Iris-setosa Yes 15 0.194444 0.000000 0.423729 ... Iris-versicolor Iris-versicolor Yes 16 0.944444 0.333333 0.966102 ... Iris-virginica Iris-virginica Yes 17 0.666667 0.458333 0.627119 ... Iris-versicolor Iris-versicolor Yes 18 0.027778 0.416667 0.050847 ... Iris-setosa Iris-setosa Yes 19 0.583333 0.500000 0.593220 ... Iris-versicolor Iris-versicolor Yes 20 0.166667 0.208333 0.593220 ... Iris-virginica Iris-versicolor No 21 0.111111 0.500000 0.050847 ... Iris-setosa Iris-setosa Yes 22 0.416667 0.333333 0.694915 ... Iris-virginica Iris-virginica Yes 23 0.333333 0.916667 0.067797 ... Iris-setosa Iris-setosa Yes 24 0.416667 0.250000 0.508475 ... Iris-versicolor Iris-versicolor Yes 25 0.027778 0.375000 0.067797 ... Iris-setosa Iris-setosa Yes 26 0.222222 0.750000 0.101695 ... Iris-setosa Iris-setosa Yes 27 0.194444 0.583333 0.101695 ... Iris-setosa Iris-setosa Yes 28 0.333333 0.166667 0.457627 ... Iris-versicolor Iris-versicolor Yes 29 0.361111 0.416667 0.525424 ... Iris-versicolor Iris-versicolor Yes [30 rows x 7 columns] Running Experiment 4 ... Experiment 4 Trained Neural Network [{'weights': [0.7951289195440033, 1.5149624814456344, 0.09979526337477072, 0.24012139485769785, 2.0489127301491035], 'output': 0.9612292427611886, 'delta': -3.0783235743766184e-06}, {'weights': [-2.2800476269089316, -0.8058840979017325, 7.95050737257743, 4.558135079286487, -6.313825375910333], 'output': 0.004059175846087557, 'delta': 8.394745833970628e-05}, {'weights': [1.377782583589322, 1.0566274239393036, 1.137985066723117, 0.8145760545473004, 1.8011730467287586], 'output': 0.9532426486506128, 'delta': -1.0703709050406385e-06}, {'weights': [-2.1540503769678767, -0.9439316327731915, 7.629874445329196, 4.659472227404643, -6.126757922143277], 'output': 0.004546161482229626, 'delta': 8.587865237903754e-05}, {'weights': [1.3508253012303015, -1.816318419315461, 1.7197904149466259, 2.1422588134338687, -0.15624277568665343], 'output': 0.3994917051981053, 'delta': 1.4535579840452592e-05}] [{'weights': [1.3110543614264696, -0.2729739006888357, 1.2650212657779154, -0.0865272028677818, 1.06884978257274, 0.7105190042451651], 'output': 0.973457584717004, 'delta': -3.5010067560739527e-06}, {'weights': [-1.322685698778178, 7.4802833616021855, 0.042822534843960224, 7.483176594677031, 3.490535909096712, -2.0045947144347727], 'output': 0.14475380606773894, 'delta': 3.757426246647981e-05}, {'weights': [0.3596654499230359, -2.7354722378752556, 0.8340602698356351, -2.7338441374516522, 0.5084671158510676, 1.3491892143639528], 'output': 0.9352068664646591, 'delta': -4.621924175657984e-05}, {'weights': [-1.8473166397915952, 6.12814457896896, -1.6573969482196436, 5.729990940106533, -0.9071012220021519, -3.200790318789372], 'output': 0.0010396392886013806, 'delta': 2.3811115662236813e-06}, {'weights': [-2.000904142752682, 6.934755218923048, -2.015764146300319, 7.022623847381577, -1.0980927685626882, -3.8232239249951827], 'output': 0.0003200646509415325, 'delta': 1.0412949168967577e-06}] [{'weights': [0.837030671348887, -8.994129627476408, 2.1954507929755174, -3.0081897293889277, -3.2685885573223317, 1.7935329727079234], 'output': 0.9662825049882514, 'delta': -0.0001288291605036499}, {'weights': [-2.0445155209845356, 10.300828692110882, -0.4404600836532043, -5.277813930608764, -6.469548591446979, -2.549682386796924], 'output': 0.03022700289285217, 'delta': 4.399790840378362e-05}, {'weights': [-2.691792848160622, 3.1333057282537644, -4.422895061141404, 5.108936999378165, 6.1961955141139, -4.065110884372629], 'output': 3.164412787250534e-05, 'delta': -6.827028470810627e-07}] Experiment 4 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.611111 0.333333 0.610169 ... Iris-versicolor Iris-versicolor Yes 1 0.055556 0.125000 0.050847 ... Iris-setosa Iris-setosa Yes 2 0.722222 0.458333 0.745763 ... Iris-virginica Iris-virginica Yes 3 0.666667 0.541667 0.796610 ... Iris-virginica Iris-virginica Yes 4 1.000000 0.750000 0.915254 ... Iris-virginica Iris-virginica Yes 5 0.444444 0.416667 0.542373 ... Iris-versicolor Iris-versicolor Yes 6 0.805556 0.666667 0.864407 ... Iris-virginica Iris-virginica Yes 7 0.305556 0.583333 0.118644 ... Iris-setosa Iris-setosa Yes 8 0.277778 0.708333 0.084746 ... Iris-setosa Iris-setosa Yes 9 0.472222 0.083333 0.508475 ... Iris-versicolor Iris-versicolor Yes 10 0.555556 0.541667 0.847458 ... Iris-virginica Iris-virginica Yes 11 0.361111 0.375000 0.440678 ... Iris-versicolor Iris-versicolor Yes 12 0.444444 0.500000 0.644068 ... Iris-versicolor Iris-virginica No 13 0.222222 0.625000 0.067797 ... Iris-setosa Iris-setosa Yes 14 0.583333 0.333333 0.779661 ... Iris-virginica Iris-virginica Yes 15 0.222222 0.625000 0.067797 ... Iris-setosa Iris-setosa Yes 16 0.805556 0.500000 0.847458 ... Iris-virginica Iris-virginica Yes 17 0.222222 0.208333 0.338983 ... Iris-versicolor Iris-versicolor Yes 18 0.861111 0.333333 0.864407 ... Iris-virginica Iris-virginica Yes 19 0.083333 0.666667 0.000000 ... Iris-setosa Iris-setosa Yes 20 0.638889 0.375000 0.610169 ... Iris-versicolor Iris-versicolor Yes 21 0.611111 0.500000 0.694915 ... Iris-virginica Iris-virginica Yes 22 0.166667 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 23 0.027778 0.500000 0.050847 ... Iris-setosa Iris-setosa Yes 24 0.666667 0.416667 0.711864 ... Iris-virginica Iris-virginica Yes 25 0.166667 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 26 0.388889 0.333333 0.593220 ... Iris-versicolor Iris-versicolor Yes 27 0.666667 0.458333 0.576271 ... Iris-versicolor Iris-versicolor Yes 28 0.361111 0.291667 0.542373 ... Iris-versicolor Iris-versicolor Yes 29 0.194444 0.625000 0.101695 ... Iris-setosa Iris-setosa Yes [30 rows x 7 columns] Experiments Completed.