=== Run information === Scheme: weka.classifiers.functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a Relation: grades Instances: 150 Attributes: 15 hw01 hw02 hw03 hw04 hw05 hw06 hw07 hw08 hw09 hw10 mt01 mt02 project final grade Test mode: split 67% train, remainder test === Classifier model (full training set) === Sigmoid Node 0 Inputs Weights Threshold -0.7007750389747961 Node 5 -5.117332189526479 Node 6 -4.767449617336508 Node 7 1.9974682600787248 Node 8 -3.2825249747015532 Node 9 1.1630964718351129 Node 10 -3.9200063832570193 Node 11 -4.836458500141355 Node 12 2.2927624578874877 Node 13 1.7927553859991259 Sigmoid Node 1 Inputs Weights Threshold -0.6646974487223309 Node 5 -3.002992026902861 Node 6 -4.181523073999642 Node 7 2.6920587482668172 Node 8 -1.056550215573721 Node 9 10.71002822478631 Node 10 -4.7766570550191565 Node 11 -1.9666682437186558 Node 12 3.9516430559576596 Node 13 2.5978769679050293 Sigmoid Node 2 Inputs Weights Threshold 0.6263090963895265 Node 5 2.9820017824424325 Node 6 4.2093550620078455 Node 7 -2.6554344755249244 Node 8 1.0638381429477806 Node 9 -10.709835132369331 Node 10 4.767408224936082 Node 11 2.0080530939421735 Node 12 -3.970979976608921 Node 13 -2.62096378327489 Sigmoid Node 3 Inputs Weights Threshold -0.5306779371062537 Node 5 0.9720753223564949 Node 6 1.1673807261252491 Node 7 -5.026524800125022 Node 8 0.46353249178455996 Node 9 -1.6116627377939328 Node 10 1.3328454615975653 Node 11 0.9300846936187848 Node 12 -3.0356579091418974 Node 13 -5.944062845316279 Sigmoid Node 4 Inputs Weights Threshold -1.5711583860932454 Node 5 -0.7771775787513192 Node 6 -0.8605257504174152 Node 7 -0.8172779637553638 Node 8 -0.788894465799675 Node 9 -0.8343749380272923 Node 10 -0.7887466312519071 Node 11 -0.8498040983206652 Node 12 -0.839003954288847 Node 13 -0.8740344105408719 Sigmoid Node 5 Inputs Weights Threshold 2.401818919106492 Attrib hw01 0.054118355636636827 Attrib hw02 -0.22038088397720745 Attrib hw03 0.4177738187546047 Attrib hw04 -1.8074429497267166 Attrib hw05 -0.3523082218732887 Attrib hw06 -0.9384189643358462 Attrib hw07 0.9906684015392201 Attrib hw08 -0.2742256960544238 Attrib hw09 -0.8481237418653819 Attrib hw10 -0.38959731842111067 Attrib mt01 -1.0703947576071104 Attrib mt02 -0.7118241856548618 Attrib project -1.0911119700846241 Attrib final -3.6875256511344947 Sigmoid Node 6 Inputs Weights Threshold 1.8092087753535284 Attrib hw01 -0.7008189742090409 Attrib hw02 -1.7523973730599949 Attrib hw03 0.058931174822840826 Attrib hw04 -2.239582674245477 Attrib hw05 0.9259226342389496 Attrib hw06 -1.3024156828237707 Attrib hw07 0.25749933341988274 Attrib hw08 -0.414132357954419 Attrib hw09 -1.7424339742518247 Attrib hw10 -1.4292275458987878 Attrib mt01 0.31417737803008994 Attrib mt02 -0.8113075659594253 Attrib project -0.7404023641631947 Attrib final -4.280207471171642 Sigmoid Node 7 Inputs Weights Threshold 2.556701840736319 Attrib hw01 0.5985701407479146 Attrib hw02 0.9552775985177873 Attrib hw03 -0.9668786918472714 Attrib hw04 -0.3712533838155115 Attrib hw05 0.16317349862463035 Attrib hw06 -1.7298782925361862 Attrib hw07 -0.7758052331520191 Attrib hw08 0.07004631706691082 Attrib hw09 0.18486898413817723 Attrib hw10 0.30583090868871 Attrib mt01 1.0723693513053598 Attrib mt02 -0.23352287356351661 Attrib project 1.182073574150463 Attrib final 3.2415549339828655 Sigmoid Node 8 Inputs Weights Threshold 1.0619321183697785 Attrib hw01 0.7324635982299055 Attrib hw02 0.15182850786203073 Attrib hw03 0.4672340099965676 Attrib hw04 -1.1437630296917933 Attrib hw05 -0.6831849294512182 Attrib hw06 -0.7559928174218926 Attrib hw07 0.16834921098729777 Attrib hw08 0.052384153913296004 Attrib hw09 0.07323585367527119 Attrib hw10 0.09158128605634795 Attrib mt01 -0.8858893599635532 Attrib mt02 -0.34807730758666117 Attrib project -0.4862001775000642 Attrib final -2.037429485673181 Sigmoid Node 9 Inputs Weights Threshold -0.7111390046830824 Attrib hw01 -0.4850712727744274 Attrib hw02 0.2194074732653523 Attrib hw03 0.8837091933039825 Attrib hw04 1.2290009321843134 Attrib hw05 0.05330843254441714 Attrib hw06 0.9533229294625237 Attrib hw07 1.496433287982526 Attrib hw08 2.4804046986350725 Attrib hw09 1.2654253678244345 Attrib hw10 1.1378134758211256 Attrib mt01 2.981721187743669 Attrib mt02 4.488567938477428 Attrib project 3.102550656323503 Attrib final 13.769711603692599 Sigmoid Node 10 Inputs Weights Threshold 1.6539347293785347 Attrib hw01 0.7419452075479395 Attrib hw02 1.1637806584637842 Attrib hw03 -0.554917483484163 Attrib hw04 0.39006014331416217 Attrib hw05 -0.675182656039097 Attrib hw06 -0.2731773282043019 Attrib hw07 -0.522156378772519 Attrib hw08 -0.5609091370750746 Attrib hw09 0.09030226951956244 Attrib hw10 0.5885096667961222 Attrib mt01 -2.404618048638016 Attrib mt02 -1.9796500800595604 Attrib project -0.9378656993649386 Attrib final -5.135819019786078 Sigmoid Node 11 Inputs Weights Threshold 2.139470355363798 Attrib hw01 0.5972545342689976 Attrib hw02 0.20579401797135932 Attrib hw03 0.6192486327012822 Attrib hw04 -1.5786659414121722 Attrib hw05 -0.7527515830465299 Attrib hw06 -0.715140823263892 Attrib hw07 0.5623827182525793 Attrib hw08 0.02233563004078777 Attrib hw09 -0.34423914791288585 Attrib hw10 0.0797817884872223 Attrib mt01 -1.2282866958224596 Attrib mt02 -0.35638287964901805 Attrib project -1.1546062577010858 Attrib final -3.2217979864063624 Sigmoid Node 12 Inputs Weights Threshold -0.045415294796559584 Attrib hw01 -0.2889034497933931 Attrib hw02 0.32518659338663475 Attrib hw03 0.5828978670039249 Attrib hw04 0.26641584705324156 Attrib hw05 -0.13837268869251101 Attrib hw06 0.31271494463862154 Attrib hw07 1.0467286306669628 Attrib hw08 0.5362764832903714 Attrib hw09 0.40531971985255677 Attrib hw10 0.5762598182858336 Attrib mt01 0.8451474021753514 Attrib mt02 1.7160419958669137 Attrib project 1.1903674664612955 Attrib final 4.770029694291461 Sigmoid Node 13 Inputs Weights Threshold 3.0976600480252108 Attrib hw01 0.7217655489878947 Attrib hw02 1.2449151039934585 Attrib hw03 -1.046431876016337 Attrib hw04 -0.5386780102919262 Attrib hw05 0.5010774430638087 Attrib hw06 -2.0746794540847033 Attrib hw07 -1.1557737929611447 Attrib hw08 0.12568286572377788 Attrib hw09 0.21872507869516325 Attrib hw10 0.3184774548939356 Attrib mt01 1.0617669485690575 Attrib mt02 -0.6013325916719142 Attrib project 1.380504827233906 Attrib final 3.3508807157724174 Class A Input Node 0 Class B Input Node 1 Class C Input Node 2 Class D Input Node 3 Class F Input Node 4 Time taken to build model: 6.45 seconds === Evaluation on test split === === Summary === Correctly Classified Instances 44 88 % Incorrectly Classified Instances 6 12 % Kappa statistic 0.7553 Mean absolute error 0.0585 Root mean squared error 0.1744 Relative absolute error 25.8911 % Root relative squared error 52.8251 % Total Number of Instances 50 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure Class 0 0 0 0 0 A 1 0.238 0.853 1 0.921 B 0.833 0.031 0.938 0.833 0.882 C 0 0 0 0 0 D 0 0 0 0 0 F === Confusion Matrix === a b c d e <-- classified as 0 2 0 0 0 | a = A 0 29 0 0 0 | b = B 0 3 15 0 0 | c = C 0 0 1 0 0 | d = D 0 0 0 0 0 | e = F