Test points, no noise, each row one data point (x y label)
 -0.47231930   0.10189200  0
 -0.23792431  -0.12367080  0
 -0.58868787   0.37462021  0
 -0.58042988  -0.41365829  0
 -0.46679341  -0.88919092  0
 -0.30938083   0.11101923  0
  0.78872180  -0.35662186  0
 -0.21584111  -0.69720166  0
 -0.33657486  -0.47601467  0
  0.12032138  -0.76630902  0
 -0.30633532  -0.87464952  0
 -0.41272710  -0.07016544  0
 -0.94076505  -0.25956010  0
 -0.49938544  -0.54521035  0
 -0.88556985  -0.60161626  0
 -0.55818213   0.32563665  0
 -0.62573997   0.34449429  0
 -0.81171191  -0.70788362  0
 -0.50320546  -0.42674250  0
 -0.27126315   0.26212552  0
  0.71093715  -0.50791548  0
 -0.56499129  -0.04601595  0
 -0.85163662  -0.47698489  0
 -0.15894388   0.25119673  0
 -0.33752317  -0.68784922  0
  0.30723780  -0.87642766  0
 -0.67869489   0.29344426  0
 -0.21637804  -0.26616916  0
  0.19982814  -0.84150335  0
  0.72953097  -0.42398915  0
 -0.28944725  -0.71707666  0
 -0.41901758  -0.49647210  0
 -0.93533157  -0.32795539  0
 -0.84877872  -0.40316516  0
 -0.27212137   0.17397784  0
 -0.39622706  -0.72919051  0
  0.09555753  -0.75758234  0
 -0.98054472  -0.89519753  0
  0.70061040  -0.97667977  0
 -0.41855677  -0.39152899  0
  0.01773853   0.22213755  0
 -0.95793038  -0.33402471  0
  0.49518683  -0.67529883  0
 -0.73752634  -0.75626911  0
  0.98479797  -0.58131900  0
 -0.64777025  -0.68017780  0
 -0.75383872  -0.68114963  0
 -0.30181476   0.17640355  0
 -0.85506383  -0.57594572  0
  0.55060723  -0.72176769  0
  0.43733637   0.89241300  1
  0.59740166   0.52595200  1
  0.26085222  -0.41268633  1
  0.26515560  -0.16696630  1
 -0.55060025   0.64653059  1
  0.73938346   0.01075514  1
  0.53885417   0.82004144  1
 -0.83996469   0.87938276  1
 -0.57122834   0.91327559  1
 -0.63412408   0.73132064  1
 -0.07632758   0.55382408  1
  0.75052023   0.29192298  1
  0.47239901  -0.38506004  1
  0.34893209   0.01800777  1
  0.91700874   0.45940186  1
 -0.16422300  -0.24510900  1
  0.66981325   0.52645524  1
  0.63549673  -0.32205284  1
  0.17333790   0.68169253  1
 -0.89760445   0.72661213  1
 -0.93829058   0.62464977  1
 -0.39843578   0.77889218  1
  0.26180136   0.29759970  1
  0.96609733   0.76473648  1
  0.46011980  -0.47441117  1
 -0.56206730   0.74262281  1
  0.10989358  -0.44889987  1
  0.88900129   0.54779029  1
 -0.66231245   0.75738484  1
  0.56264520  -0.04888524  1
 -0.85539796   0.85938432  1
  0.46618268  -0.34169894  1
  0.16379431   0.04677307  1
  0.06548549  -0.00399404  1
  0.29022603   0.83014483  1
  0.56818885  -0.43216984  1
  0.69104354  -0.05903078  1
  0.16228307  -0.16094952  1
  0.65527001   0.81154898  1
 -0.17221360  -0.17079178  1
  0.54618533   0.96147356  1
  0.02601906  -0.04689963  1
 -0.29806158   0.95334114  1
  0.99107579   0.46568256  1
 -0.09467500  -0.10990236  1
  0.14169634   0.95363535  1
  0.93399912   0.51181806  1
  0.09721615   0.93529838  1
  0.78340295   0.68370248  1
  0.13404697   0.52853564  1
Test points, noise stddev=0.01, each row one data point (x y label)
 -0.46689649   0.10230146  0
 -0.24528269  -0.12645553  0
 -0.58482939   0.36561441  0
 -0.57430683  -0.41116359  0
 -0.47566821  -0.89486885  0
 -0.30517148   0.10378963  0
  0.79512111  -0.36579716  0
 -0.20152749  -0.68859300  0
 -0.34289005  -0.48118216  0
  0.12112701  -0.76614703  0
 -0.29477030  -0.87395643  0
 -0.39802714  -0.07231599  0
 -0.93956441  -0.25315010  0
 -0.50690356  -0.52130026  0
 -0.88324495  -0.60064353  0
 -0.55796903   0.33933795  0
 -0.61422473   0.32706516  0
 -0.80135891  -0.69759891  0
 -0.50396633  -0.42976059  0
 -0.27204179   0.25628854  0
  0.71783899  -0.51369295  0
 -0.58413799  -0.04132341  0
 -0.84281010  -0.46311717  0
 -0.16435724   0.24478915  0
 -0.34770767  -0.68050672  0
  0.30605978  -0.87618283  0
 -0.67421490   0.28516250  0
 -0.21716570  -0.26134383  0
  0.20334934  -0.83816453  0
  0.73947014  -0.41316565  0
 -0.27828609  -0.71349696  0
 -0.43287121  -0.49091172  0
 -0.94973505  -0.33090518  0
 -0.83349796  -0.40500665  0
 -0.28004395   0.16292066  0
 -0.38996214  -0.73277936  0
  0.11130246  -0.75005429  0
 -0.99790657  -0.89128051  0
  0.70274002  -0.97482093  0
 -0.41380707  -0.38382845  0
  0.01999777   0.22133762  0
 -0.95156631  -0.33838983  0
  0.51616562  -0.68514528  0
 -0.73170123  -0.73522657  0
  0.97572153  -0.57251106  0
 -0.64435105  -0.69029522  0
 -0.75360220  -0.67008124  0
 -0.31087233   0.16958735  0
 -0.85014862  -0.56731858  0
  0.54380001  -0.74034624  0
  0.42475815   0.88626898  1
  0.59806146   0.53943700  1
  0.26875036  -0.42950212  1
  0.25291465  -0.17596898  1
 -0.55028461   0.64957724  1
  0.72653437  -0.00446700  1
  0.52912097   0.83444365  1
 -0.84153815   0.87641024  1
 -0.56521945   0.91532317  1
 -0.64730960   0.73488631  1
 -0.05910340   0.56038896  1
  0.74112676   0.28427818  1
  0.46447039  -0.39641892  1
  0.34733514   0.02390607  1
  0.91347706   0.45442057  1
 -0.16382079  -0.24313722  1
  0.69265972   0.54109338  1
  0.64829073  -0.32001601  1
  0.18102640   0.66044130  1
 -0.90179970   0.71710525  1
 -0.93816217   0.60110546  1
 -0.39767319   0.78227234  1
  0.25850640   0.28292953  1
  0.96051837   0.78241750  1
  0.43733237  -0.48743223  1
 -0.55907260   0.73202780  1
  0.09975784  -0.45496297  1
  0.88690865   0.55250655  1
 -0.67302840   0.75871925  1
  0.57210790  -0.06254999  1
 -0.84351226   0.86992006  1
  0.48194116  -0.33323496  1
  0.15468635   0.06156319  1
  0.06071602  -0.00549841  1
  0.30407569   0.84481251  1
  0.56339089  -0.43670656  1
  0.68697108  -0.06200773  1
  0.16291284  -0.16779040  1
  0.64962068   0.82255001  1
 -0.16196044  -0.14955498  1
  0.55692287   0.95227680  1
  0.03237884  -0.03585682  1
 -0.29453994   0.94319319  1
  1.00513417   0.46540539  1
 -0.09392042  -0.11525729  1
  0.13848895   0.96536355  1
  0.92403729   0.50689984  1
  0.10205908   0.92544266  1
  0.77850111   0.67928247  1
  0.12296240   0.52964735  1
Test points, noise stddev=0.05, each row one data point (x y label)
 -0.46584022   0.12738132  0
 -0.18831829  -0.11079310  0
 -0.56943137   0.34717782  0
 -0.57923610  -0.46829497  0
 -0.44036177  -0.92276364  0
 -0.26805774   0.06477176  0
  0.84987277  -0.28976390  0
 -0.29039329  -0.68250954  0
 -0.34788030  -0.42916881  0
  0.10561230  -0.79560064  0
 -0.25655848  -0.86976188  0
 -0.48807024  -0.07010653  0
 -0.92228411  -0.25008701  0
 -0.44337847  -0.59287707  0
 -0.84281017  -0.62980417  0
 -0.60044089   0.31787650  0
 -0.67058775   0.43582981  0
 -0.78968774  -0.75059973  0
 -0.45126864  -0.41664177  0
 -0.22993680   0.28767595  0
  0.67412278  -0.48007101  0
 -0.60750720  -0.03886969  0
 -0.73605774  -0.60840061  0
 -0.22835761   0.21291981  0
 -0.34913139  -0.67993503  0
  0.32742919  -0.96626308  0
 -0.64512913   0.33763878  0
 -0.24448731  -0.28376218  0
  0.23341369  -0.91939422  0
  0.74702419  -0.38319031  0
 -0.24245457  -0.77043653  0
 -0.36948261  -0.48971418  0
 -0.92375114  -0.42901702  0
 -0.95560384  -0.43164310  0
 -0.30908836   0.17260108  0
 -0.41472345  -0.70624246  0
  0.10105151  -0.75449539  0
 -1.05420553  -0.81697507  0
  0.78487936  -1.02981488  0
 -0.39887559  -0.37434790  0
 -0.02370582   0.20783762  0
 -0.89918426  -0.19569980  0
  0.51924542  -0.64474886  0
 -0.71955349  -0.82771580  0
  0.91074685  -0.69085879  0
 -0.65366540  -0.63055384  0
 -0.75633551  -0.67677383  0
 -0.27490347   0.16732196  0
 -0.88683923  -0.52033076  0
  0.56860916  -0.66190378  0
  0.37170171   0.99697641  1
  0.63998675   0.43465004  1
  0.27517087  -0.46626338  1
  0.23415181  -0.14266153  1
 -0.49250225   0.73699593  1
  0.72326880  -0.03413824  1
  0.44404671   0.72451953  1
 -0.91186413   0.96405033  1
 -0.56023972   0.99611802  1
 -0.63410850   0.65285381  1
 -0.02469141   0.56274419  1
  0.72301924   0.30821247  1
  0.40519804  -0.33469778  1
  0.34389304   0.07716920  1
  0.91160865   0.48760589  1
 -0.12680107  -0.23093358  1
  0.67239540   0.56109841  1
  0.64674046  -0.41046687  1
  0.14730616   0.64144258  1
 -0.93321995   0.68721437  1
 -0.84755837   0.64084218  1
 -0.36694337   0.85593355  1
  0.26384442   0.27235343  1
  0.95495072   0.71234298  1
  0.42367470  -0.58489201  1
 -0.57707033   0.79516507  1
  0.07713548  -0.46215022  1
  0.94832644   0.61282173  1
 -0.71168863   0.73862212  1
  0.57350712  -0.14281504  1
 -0.71697239   0.90098336  1
  0.40281019  -0.34269520  1
  0.18297002   0.11238732  1
  0.08804443  -0.12408115  1
  0.26571258   0.87155756  1
  0.48526105  -0.46344177  1
  0.66896278  -0.04370431  1
  0.26341527  -0.22039451  1
  0.66332643   0.79392585  1
 -0.18157531  -0.20013127  1
  0.41421739   1.03710959  1
  0.00155147  -0.03879641  1
 -0.26966511   0.93287505  1
  1.02267884   0.39969406  1
 -0.13876219  -0.12440167  1
  0.13925392   0.91691442  1
  0.92848025   0.50413156  1
  0.08979152   0.82463112  1
  0.72123251   0.70235407  1
  0.15578816   0.58492401  1
Test points, noise stddev=0.1, each row one data point (x y label)
 -0.47960925   0.08025276  0
 -0.26141072  -0.27295804  0
 -0.62191987   0.16869656  0
 -0.53721600  -0.53129999  0
 -0.44711067  -0.92964999  0
 -0.26607882   0.21654148  0
  0.94045682  -0.53070850  0
 -0.11643331  -0.79898460  0
 -0.39824910  -0.52175032  0
  0.08767936  -0.79437854  0
 -0.25891971  -0.97393144  0
 -0.48835206  -0.11112065  0
 -0.97751848  -0.16123700  0
 -0.31770361  -0.62634281  0
 -0.75351004  -0.49569327  0
 -0.55960842   0.55010427  0
 -0.78400653   0.32078367  0
 -0.63161696  -0.56605077  0
 -0.51680046  -0.40949709  0
 -0.24414712   0.33784192  0
  0.66079684  -0.47188576  0
 -0.46938324   0.03760277  0
 -0.80031173  -0.32300013  0
 -0.21726882   0.39162873  0
 -0.28957331  -0.62456598  0
  0.43953463  -0.97290240  0
 -0.71650422   0.24284130  0
 -0.18494762  -0.38996350  0
  0.34492080  -0.91456191  0
  0.81428763  -0.51046291  0
 -0.15852643  -0.72239839  0
 -0.33754493  -0.56367240  0
 -1.23343425  -0.46392171  0
 -0.96412729  -0.40230162  0
 -0.32260283   0.29803358  0
 -0.41257978  -0.80593941  0
  0.16322486  -0.85785240  0
 -0.98587041  -0.99393774  0
  0.64487414  -0.95139325  0
 -0.46418545  -0.50471035  0
  0.00105176   0.21518501  0
 -1.14110175  -0.29935727  0
  0.52324942  -0.85819603  0
 -0.98478617  -0.77564488  0
  0.96263837  -0.57241281  0
 -0.74625189  -0.62103530  0
 -0.95593533  -0.56729794  0
 -0.26241130   0.03038014  0
 -0.83265788  -0.59649200  0
  0.46320426  -0.86828199  0
  0.39080245   0.82501469  1
  0.75277336   0.56645329  1
  0.47351342  -0.34451727  1
  0.17584608  -0.10568799  1
 -0.72064940   0.65686323  1
  0.57552829   0.06204890  1
  0.52699249   0.90688461  1
 -0.80002478   0.79424763  1
 -0.62264617   0.74936970  1
 -0.56089874   0.87081409  1
  0.09549549   0.45481931  1
  0.70570686   0.29937171  1
  0.48009980  -0.55463477  1
  0.53963334   0.05427524  1
  0.90081688   0.56227512  1
 -0.27433607  -0.07812203  1
  0.73063507   0.53239883  1
  0.58986139  -0.37242635  1
  0.04928724   0.65394552  1
 -1.06134497   0.75472256  1
 -0.78576508   0.69499660  1
 -0.58007480   0.81204159  1
  0.20883947   0.18170353  1
  0.86605984   0.80269208  1
  0.40927979  -0.58647457  1
 -0.58088222   0.70269432  1
  0.06915727  -0.26430222  1
  0.90109470   0.53839650  1
 -0.77290091   0.72357079  1
  0.46585461  -0.09129555  1
 -0.67950974   0.78320613  1
  0.53609084  -0.58180953  1
  0.12415656  -0.00096881  1
  0.19201767  -0.05077138  1
  0.28535394   0.73812609  1
  0.51666957  -0.45376519  1
  0.57550996  -0.13480002  1
  0.14157807  -0.14159744  1
  0.58146223   0.83056430  1
 -0.27814154  -0.20788497  1
  0.51533475   1.01198926  1
 -0.10716230  -0.19298006  1
 -0.38495398   0.90315368  1
  0.98990611   0.56066879  1
 -0.00550645  -0.20316587  1
  0.22817947   1.00863844  1
  0.91840452   0.25361622  1
  0.19381099   0.87861601  1
  0.71860252   0.61469666  1
  0.13730303   0.47634253  1