10416390 10093 Eric Klingensmith 3560 Supervised Classification 17299 sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2) 8254064 copy true 17289 with_mean true 17289 with_std true 17289 memory null 17299 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gaussiannb", "step_name": "gaussiannb"}}] 17299 verbose false 17299 priors null 17300 var_smoothing 1e-09 17300 openml-python Sklearn_0.21.3. 469 analcatdata_dmft https://www.openml.org/data/download/52581/analcatdata_dmft.arff -1 21754658 description https://api.openml.org/data/download/21754658/description.xml -1 21754659 predictions https://api.openml.org/data/download/21754659/predictions.arff area_under_roc_curve 0.5826637186393041 [0.588835,0.557883,0.618331,0.518611,0.602518,0.625691] average_cost 0 f_measure 0.19049779952751542 [0.23053,0.067568,0.086957,0.206897,0.280488,0.265306] kappa 0.05135924791940265 kb_relative_information_score 0.07835193284504453 mean_absolute_error 0.2721923358375475 mean_prior_absolute_error 0.2774075468769606 number_of_instances 797 [127,132,124,155,136,123] precision 0.2181053602514354 [0.190722,0.3125,0.133333,0.20122,0.239583,0.22807] predictive_accuracy 0.2107904642409034 prior_entropy 2.5802594571056106 recall 0.2107904642409034 [0.291339,0.037879,0.064516,0.212903,0.338235,0.317073] relative_absolute_error 0.9812001832750199 root_mean_prior_squared_error 0.37242769802946113 root_mean_squared_error 0.3709409116740501 root_relative_squared_error 0.9960078523609341 total_cost 0 area_under_roc_curve 0.5804741203532803 [0.574053,0.551665,0.623775,0.496582,0.548701,0.724265] area_under_roc_curve 0.5830421780843443 [0.604478,0.605052,0.636642,0.528809,0.613636,0.518995] area_under_roc_curve 0.6046386471926797 [0.69977,0.529277,0.479167,0.671387,0.58171,0.646446] area_under_roc_curve 0.5686053486120534 [0.548794,0.633754,0.70098,0.35498,0.611472,0.621936] area_under_roc_curve 0.5739616563530942 [0.664753,0.575201,0.601716,0.447754,0.627706,0.552083] area_under_roc_curve 0.5865669301067677 [0.637773,0.555195,0.555109,0.604103,0.668197,0.491422] area_under_roc_curve 0.5966954390173772 [0.576923,0.554113,0.677382,0.494872,0.610218,0.693015] area_under_roc_curve 0.5314359767617608 [0.432214,0.445804,0.497669,0.503125,0.667832,0.638695] area_under_roc_curve 0.6296242374863312 [0.544154,0.527972,0.735431,0.613021,0.55711,0.796037] area_under_roc_curve 0.6317161708772682 [0.664179,0.62704,0.747512,0.534896,0.547253,0.702214] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.17784385436515254 [0.181818,0,0.117647,0.222222,0.206897,0.333333] f_measure 0.25483031211666896 [0.413793,0,0.086957,0.272727,0.4,0.333333] f_measure 0.13548272357723576 [0.125,0.266667,0,0.195122,0.1875,0] f_measure 0.20159882090588616 [0.216216,0.133333,0.125,0.166667,0.242424,0.347826] f_measure 0.1801215735925929 [0.181818,0,0.105263,0.148148,0.342857,0.307692] f_measure 0.19439314966492927 [0.176471,0.117647,0.1,0.2,0.25,0.32] f_measure 0.2437017338581002 [0.352941,0.142857,0,0.333333,0.285714,0.32] kappa 0.035418236623963845 kappa 0.035418236623963845 kappa 0.15036333147009498 kappa -0.04486087450312321 kappa -0.025061239871867345 kappa 0.09175507165456913 kappa 0.054054054054054036 kappa 0.04490500863557857 kappa 0.04398770649250863 kappa 0.1298550724637681 kb_relative_information_score 0.07829414887900028 kb_relative_information_score 0.079646531305091 kb_relative_information_score 0.07642752428676296 kb_relative_information_score 0.06359943312296518 kb_relative_information_score 0.07230905640408651 kb_relative_information_score 0.08777801919596426 kb_relative_information_score 0.08018918520519952 kb_relative_information_score 0.06813413106528034 kb_relative_information_score 0.08262290614783348 kb_relative_information_score 0.09461840310527249 mean_absolute_error 0.27266512703751344 mean_absolute_error 0.2714687542956047 mean_absolute_error 0.2717454091968853 mean_absolute_error 0.27379619805417166 mean_absolute_error 0.27325793080500366 mean_absolute_error 0.27140247060912187 mean_absolute_error 0.2718292599475721 mean_absolute_error 0.2756564526089658 mean_absolute_error 0.27118774585783806 mean_absolute_error 0.2689036454174449 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27750103777501023 mean_prior_absolute_error 0.27750103777501023 mean_prior_absolute_error 0.27751417416754665 mean_prior_absolute_error 0.27751417416754665 mean_prior_absolute_error 0.27745111948337176 number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,14,13,15,13,12] number_of_instances 80 [13,14,13,15,13,12] number_of_instances 79 [12,13,13,15,13,13] number_of_instances 79 [12,13,13,15,13,13] number_of_instances 79 [12,13,12,15,14,13] precision 0.1710416666666667 [0.15,0,0.2,0.2,0.2,0.277778] precision 0.27519886363636364 [0.375,0,0.090909,0.5,0.375,0.233333] precision 0.24077192982456136 [0.105263,1,0,0.16,0.166667,0] precision 0.3700811688311688 [0.166667,1,0.333333,0.142857,0.2,0.363636] precision 0.17628363197983452 [0.142857,0,0.166667,0.166667,0.272727,0.307692] precision 0.21283141686206308 [0.136364,0.25,0.142857,0.2,0.210526,0.333333] precision 0.357279850950737 [0.272727,1,0,0.285714,0.238095,0.333333] predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.2875 predictive_accuracy 0.1375 predictive_accuracy 0.15 predictive_accuracy 0.2375 predictive_accuracy 0.2125 predictive_accuracy 0.20253164556962028 predictive_accuracy 0.20253164556962028 predictive_accuracy 0.27848101265822783 prior_entropy 2.5780396342004863 prior_entropy 2.5780396342004863 prior_entropy 2.5780396342004863 prior_entropy 2.5780396342004863 prior_entropy 2.5780396342004863 prior_entropy 2.58256922897123 prior_entropy 2.58256922897123 prior_entropy 2.583004661586018 prior_entropy 2.583004661586018 prior_entropy 2.5813306388227466 recall 0.2 [0.230769,0,0.083333,0.25,0.214286,0.416667] recall 0.2 [0.230769,0,0.083333,0.1875,0.428571,0.25] recall 0.2875 [0.461538,0,0.083333,0.1875,0.428571,0.583333] recall 0.1375 [0.153846,0.153846,0,0.25,0.214286,0] recall 0.15 [0.076923,0,0,0.25,0.214286,0.333333] recall 0.2375 [0.461538,0,0.153846,0.066667,0.461538,0.333333] recall 0.2125 [0.307692,0.071429,0.076923,0.2,0.307692,0.333333] recall 0.20253164556962025 [0.25,0,0.076923,0.133333,0.461538,0.307692] recall 0.20253164556962025 [0.25,0.076923,0.076923,0.2,0.307692,0.307692] recall 0.27848101265822783 [0.5,0.076923,0,0.4,0.357143,0.307692] relative_absolute_error 0.983216826319948 relative_absolute_error 0.9789027659808954 relative_absolute_error 0.9799003697338153 relative_absolute_error 0.9872954119000839 relative_absolute_error 0.985354447090286 relative_absolute_error 0.9780232635712416 relative_absolute_error 0.9795612374176538 relative_absolute_error 0.9933058498213526 relative_absolute_error 0.9772032245607424 relative_absolute_error 0.9691928651005529 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37255319238676876 root_mean_prior_squared_error 0.37255319238676876 root_mean_prior_squared_error 0.3725708221937262 root_mean_prior_squared_error 0.3725708221937262 root_mean_prior_squared_error 0.372486191510416 root_mean_squared_error 0.37132409437719716 root_mean_squared_error 0.36994809691710473 root_mean_squared_error 0.36971069125118855 root_mean_squared_error 0.37284766896992155 root_mean_squared_error 0.37170666933494695 root_mean_squared_error 0.3712481164318832 root_mean_squared_error 0.3707734799644391 root_mean_squared_error 0.37685651694962924 root_mean_squared_error 0.36873467100419366 root_mean_squared_error 0.3661526247898736 root_relative_squared_error 0.9973535977200417 root_relative_squared_error 0.9936577534749259 root_relative_squared_error 0.9930200965100101 root_relative_squared_error 1.001445825034289 root_relative_squared_error 0.9983811704423272 root_relative_squared_error 0.9964969406206815 root_relative_squared_error 0.9952229306882922 root_relative_squared_error 1.0115030337874245 root_relative_squared_error 0.9897035651719988 root_relative_squared_error 0.982996506005068 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 3.601494999998067 usercpu_time_millis 3.7022169999971766 usercpu_time_millis 3.7406849999968017 usercpu_time_millis 3.551688000001718 usercpu_time_millis 3.5001990000154137 usercpu_time_millis 3.5254660000134663 usercpu_time_millis 3.500657000003571 usercpu_time_millis 3.576091000013548 usercpu_time_millis 3.36830000000532 usercpu_time_millis 3.518693999993161 usercpu_time_millis_testing 0.7294269999960079 usercpu_time_millis_testing 0.7272989999904667 usercpu_time_millis_testing 0.8317869999956429 usercpu_time_millis_testing 0.7228399999945623 usercpu_time_millis_testing 0.6913230000122894 usercpu_time_millis_testing 0.7050130000010313 usercpu_time_millis_testing 0.7587940000064464 usercpu_time_millis_testing 0.7034050000100933 usercpu_time_millis_testing 0.6875380000082032 usercpu_time_millis_testing 0.6992059999930689 usercpu_time_millis_training 2.8720680000020593 usercpu_time_millis_training 2.97491800000671 usercpu_time_millis_training 2.908898000001159 usercpu_time_millis_training 2.828848000007156 usercpu_time_millis_training 2.8088760000031243 usercpu_time_millis_training 2.820453000012435 usercpu_time_millis_training 2.7418629999971245 usercpu_time_millis_training 2.872686000003455 usercpu_time_millis_training 2.6807619999971166 usercpu_time_millis_training 2.819488000000092 wall_clock_time_millis 3.6041736602783203 wall_clock_time_millis 3.7055015563964844 wall_clock_time_millis 3.7338733673095703 wall_clock_time_millis 3.5538673400878906 wall_clock_time_millis 3.5037994384765625 wall_clock_time_millis 3.6025047302246094 wall_clock_time_millis 3.504037857055664 wall_clock_time_millis 3.6437511444091797 wall_clock_time_millis 3.3714771270751953 wall_clock_time_millis 3.5903453826904297 wall_clock_time_millis_testing 0.7314682006835938 wall_clock_time_millis_testing 0.7293224334716797 wall_clock_time_millis_testing 0.7567405700683594 wall_clock_time_millis_testing 0.72479248046875 wall_clock_time_millis_testing 0.6933212280273438 wall_clock_time_millis_testing 0.7073879241943359 wall_clock_time_millis_testing 0.7610321044921875 wall_clock_time_millis_testing 0.7050037384033203 wall_clock_time_millis_testing 0.6895065307617188 wall_clock_time_millis_testing 0.7011890411376953 wall_clock_time_millis_training 2.8727054595947266 wall_clock_time_millis_training 2.9761791229248047 wall_clock_time_millis_training 2.977132797241211 wall_clock_time_millis_training 2.8290748596191406 wall_clock_time_millis_training 2.8104782104492188 wall_clock_time_millis_training 2.8951168060302734 wall_clock_time_millis_training 2.7430057525634766 wall_clock_time_millis_training 2.9387474060058594 wall_clock_time_millis_training 2.6819705963134766 wall_clock_time_millis_training 2.8891563415527344