10435725 10963 Nelly Palacios 3560 Supervised Classification 17488 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1) 8259290 add_indicator false 17407 copy true 17407 fill_value -1 17407 missing_values NaN 17407 strategy "constant" 17407 verbose 0 17407 memory null 17488 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 17488 verbose false 17488 base_score 0.5 17489 booster "gbtree" 17489 colsample_bylevel 1 17489 colsample_bynode 1 17489 colsample_bytree 1 17489 gamma 0 17489 learning_rate 0.1 17489 max_delta_step 0 17489 max_depth 3 17489 min_child_weight 1 17489 missing null 17489 n_estimators 100 17489 n_jobs 1 17489 nthread null 17489 objective "multi:softprob" 17489 random_state 42 17489 reg_alpha 0 17489 reg_lambda 1 17489 scale_pos_weight 1 17489 seed null 17489 silent null 17489 subsample 1 17489 verbosity 1 17489 openml-python Sklearn_0.21.2. 469 analcatdata_dmft https://www.openml.org/data/download/52581/analcatdata_dmft.arff -1 21794354 description https://api.openml.org/data/download/21794354/description.xml -1 21794355 predictions https://api.openml.org/data/download/21794355/predictions.arff area_under_roc_curve 0.5929461574011604 [0.609813,0.590738,0.632891,0.532439,0.593141,0.613664] average_cost 0 f_measure 0.22044753707539627 [0.224066,0.186992,0.232365,0.265537,0.222222,0.181818] kappa 0.06318665172740011 kb_relative_information_score 0.10696920824496994 mean_absolute_error 0.26871443328439965 mean_prior_absolute_error 0.2774075468769606 weighted_recall 0.22208281053952322 [0.212598,0.174242,0.225806,0.303226,0.220588,0.178862] number_of_instances 797 [127,132,124,155,136,123] precision 0.22105525368175324 [0.236842,0.201754,0.239316,0.236181,0.223881,0.184874] predictive_accuracy 0.2220828105395232 prior_entropy 2.5802594571056106 relative_absolute_error 0.9686630241663302 root_mean_prior_squared_error 0.37242769802946113 root_mean_squared_error 0.37213498854359794 root_relative_squared_error 0.9992140501702426 total_cost 0 unweighted_recall 0.21922052190263244 [0.212598,0.174242,0.225806,0.303226,0.220588,0.178862] area_under_roc_curve 0.6221973277205216 [0.6969,0.588404,0.620098,0.554199,0.556277,0.747549] area_under_roc_curve 0.5516104954214556 [0.65155,0.614237,0.628064,0.438965,0.507576,0.500613] area_under_roc_curve 0.607994289186587 [0.721584,0.50287,0.621324,0.552246,0.61526,0.651348] area_under_roc_curve 0.5898058041801353 [0.494834,0.634902,0.639706,0.473145,0.66342,0.663603] area_under_roc_curve 0.6246122511398555 [0.616533,0.693456,0.752451,0.584473,0.551948,0.56924] area_under_roc_curve 0.5604525756654818 [0.65155,0.53355,0.543628,0.531282,0.652124,0.448529] area_under_roc_curve 0.6253433617341102 [0.572331,0.708874,0.61194,0.553333,0.671068,0.640319] area_under_roc_curve 0.5230026149459835 [0.510572,0.443473,0.594406,0.502083,0.573427,0.516317] area_under_roc_curve 0.6219360350863633 [0.501866,0.553613,0.764569,0.593229,0.614219,0.699301] area_under_roc_curve 0.6499421027166989 [0.717662,0.653846,0.626866,0.586979,0.594505,0.737179] 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 0.23290740740740742 [0.307692,0.148148,0.222222,0.3,0.16,0.25] f_measure 0.22533382945654754 [0.272727,0.206897,0.190476,0.294118,0.2,0.166667] f_measure 0.20761968264401523 [0.416667,0.137931,0.090909,0.242424,0.095238,0.258065] f_measure 0.19797569103919216 [0.214286,0.190476,0.296296,0.210526,0.26087,0] f_measure 0.22175055490272882 [0,0.222222,0.26087,0.378378,0.214286,0.222222] f_measure 0.25736435878699304 [0.307692,0.26087,0.214286,0.352941,0.285714,0.095238] f_measure 0.2080339267839268 [0.076923,0.25,0.296296,0.216216,0.285714,0.111111] f_measure 0.1437611460929249 [0.083333,0.105263,0.095238,0.162162,0.242424,0.166667] f_measure 0.22003564221505884 [0.26087,0.1,0.285714,0.285714,0.214286,0.166667] f_measure 0.25209384921301115 [0.25,0.222222,0.307692,0.206897,0.230769,0.307692] kappa 0.07837582625118032 kappa 0.0660892487290529 kappa 0.05458638154192459 kappa 0.035963095462248164 kappa 0.08080617818798265 kappa 0.11311537016159341 kappa 0.05120481927710842 kappa -0.02142030104206871 kappa 0.07058823529411765 kappa 0.10365384615384618 kb_relative_information_score 0.11543036950876616 kb_relative_information_score 0.09716424837180482 kb_relative_information_score 0.10819279920531112 kb_relative_information_score 0.10238286354076986 kb_relative_information_score 0.10642299002855847 kb_relative_information_score 0.11233225884389327 kb_relative_information_score 0.11150242874336898 kb_relative_information_score 0.07629627329147783 kb_relative_information_score 0.10827983497387039 kb_relative_information_score 0.13163668898993816 mean_absolute_error 0.26695698901562503 mean_absolute_error 0.27192127420937506 mean_absolute_error 0.26874100351875 mean_absolute_error 0.2695116195666666 mean_absolute_error 0.26827886918125005 mean_absolute_error 0.2678886377133334 mean_absolute_error 0.2674804179708334 mean_absolute_error 0.2744175267544304 mean_absolute_error 0.2682988465232068 mean_absolute_error 0.2636519613248946 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 0.24253246753246754 [0.307692,0.142857,0.333333,0.25,0.181818,0.25] precision 0.23133680555555552 [0.333333,0.1875,0.222222,0.277778,0.1875,0.166667] precision 0.2128139072614692 [0.454545,0.125,0.1,0.235294,0.142857,0.210526] precision 0.2078219696969697 [0.2,0.25,0.266667,0.181818,0.333333,0] precision 0.20989718614718617 [0,0.214286,0.272727,0.333333,0.214286,0.2] precision 0.2600438596491228 [0.307692,0.333333,0.2,0.315789,0.266667,0.111111] precision 0.21385281385281382 [0.076923,0.3,0.285714,0.181818,0.266667,0.166667] precision 0.14937667817414652 [0.083333,0.166667,0.125,0.136364,0.2,0.181818] precision 0.219116115951559 [0.272727,0.142857,0.266667,0.25,0.2,0.181818] precision 0.2522603978300181 [0.25,0.214286,0.285714,0.214286,0.25,0.307692] predictive_accuracy 0.2375 predictive_accuracy 0.225 predictive_accuracy 0.2125 predictive_accuracy 0.2 predictive_accuracy 0.2375 predictive_accuracy 0.2625 predictive_accuracy 0.2125 predictive_accuracy 0.1518987341772152 predictive_accuracy 0.22784810126582278 predictive_accuracy 0.25316455696202533 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 relative_absolute_error 0.9626335657796105 relative_absolute_error 0.9805345301830066 relative_absolute_error 0.9690666329522598 relative_absolute_error 0.9718454359226871 relative_absolute_error 0.9674001996184962 relative_absolute_error 0.9653608500395221 relative_absolute_error 0.9638897934057411 relative_absolute_error 0.9888414801787865 relative_absolute_error 0.9667933082265694 relative_absolute_error 0.9502645432313558 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 0.3708887981358514 root_mean_squared_error 0.3743270576229048 root_mean_squared_error 0.37092805583718735 root_mean_squared_error 0.37461623459076826 root_mean_squared_error 0.36907597246454515 root_mean_squared_error 0.37451031964523457 root_mean_squared_error 0.36946437985220515 root_mean_squared_error 0.381847048068092 root_mean_squared_error 0.36990113054592166 root_mean_squared_error 0.36556468180389423 root_relative_squared_error 0.99618441888421 root_relative_squared_error 1.0054193716417448 root_relative_squared_error 0.9962898626468383 root_relative_squared_error 1.0061960831281356 root_relative_squared_error 0.9913152810267569 root_relative_squared_error 1.0052532827485048 root_relative_squared_error 0.9917090697444435 root_relative_squared_error 1.0248978860441798 root_relative_squared_error 0.9928344049271352 root_relative_squared_error 0.9814180770609098 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 unweighted_recall 0.23267704517704516 [0.307692,0.153846,0.166667,0.375,0.142857,0.25] unweighted_recall 0.22027625152625152 [0.230769,0.230769,0.166667,0.3125,0.214286,0.166667] unweighted_recall 0.21275946275946278 [0.384615,0.153846,0.083333,0.25,0.071429,0.333333] unweighted_recall 0.19703907203907203 [0.230769,0.153846,0.333333,0.25,0.214286,0] unweighted_recall 0.23042582417582416 [0,0.230769,0.25,0.4375,0.214286,0.25] unweighted_recall 0.25729548229548227 [0.307692,0.214286,0.230769,0.4,0.307692,0.083333] unweighted_recall 0.20943223443223444 [0.076923,0.214286,0.307692,0.266667,0.307692,0.083333] unweighted_recall 0.14978632478632478 [0.083333,0.076923,0.076923,0.2,0.307692,0.153846] unweighted_recall 0.22542735042735043 [0.25,0.076923,0.307692,0.333333,0.230769,0.153846] unweighted_recall 0.256013431013431 [0.25,0.230769,0.333333,0.2,0.214286,0.307692] usercpu_time_millis 99.47371500038571 usercpu_time_millis 106.86293100116018 usercpu_time_millis 97.45536599984916 usercpu_time_millis 99.6526469998571 usercpu_time_millis 103.29083299984632 usercpu_time_millis 97.73817399945983 usercpu_time_millis 99.0267719998883 usercpu_time_millis 100.65656700044201 usercpu_time_millis 100.5207230009546 usercpu_time_millis 98.86203300084162 usercpu_time_millis_testing 1.8879230001402902 usercpu_time_millis_testing 1.8813240003510145 usercpu_time_millis_testing 1.998136000111117 usercpu_time_millis_testing 1.9814400002360344 usercpu_time_millis_testing 1.9274919995950768 usercpu_time_millis_testing 1.818447999539785 usercpu_time_millis_testing 1.8941409998660674 usercpu_time_millis_testing 1.864691000264429 usercpu_time_millis_testing 1.8707770004766644 usercpu_time_millis_testing 1.9495230008033104 usercpu_time_millis_training 97.58579200024542 usercpu_time_millis_training 104.98160700080916 usercpu_time_millis_training 95.45722999973805 usercpu_time_millis_training 97.67120699962106 usercpu_time_millis_training 101.36334100025124 usercpu_time_millis_training 95.91972599992005 usercpu_time_millis_training 97.13263100002223 usercpu_time_millis_training 98.79187600017758 usercpu_time_millis_training 98.64994600047794 usercpu_time_millis_training 96.91251000003831 wall_clock_time_millis 99.47943687438965 wall_clock_time_millis 106.9037914276123 wall_clock_time_millis 97.49054908752441 wall_clock_time_millis 100.73637962341309 wall_clock_time_millis 103.3625602722168 wall_clock_time_millis 97.74994850158691 wall_clock_time_millis 99.04074668884277 wall_clock_time_millis 100.6612777709961 wall_clock_time_millis 100.52633285522461 wall_clock_time_millis 98.86741638183594 wall_clock_time_millis_testing 1.8901824951171875 wall_clock_time_millis_testing 1.8830299377441406 wall_clock_time_millis_testing 2.0008087158203125 wall_clock_time_millis_testing 1.9843578338623047 wall_clock_time_millis_testing 1.9299983978271484 wall_clock_time_millis_testing 1.8210411071777344 wall_clock_time_millis_testing 1.8963813781738281 wall_clock_time_millis_testing 1.8665790557861328 wall_clock_time_millis_testing 1.873016357421875 wall_clock_time_millis_testing 1.9519329071044922 wall_clock_time_millis_training 97.58925437927246 wall_clock_time_millis_training 105.02076148986816 wall_clock_time_millis_training 95.4897403717041 wall_clock_time_millis_training 98.75202178955078 wall_clock_time_millis_training 101.43256187438965 wall_clock_time_millis_training 95.92890739440918 wall_clock_time_millis_training 97.14436531066895 wall_clock_time_millis_training 98.79469871520996 wall_clock_time_millis_training 98.65331649780273 wall_clock_time_millis_training 96.91548347473145 weighted_recall 0.2375 [0.307692,0.153846,0.166667,0.375,0.142857,0.25] weighted_recall 0.225 [0.230769,0.230769,0.166667,0.3125,0.214286,0.166667] weighted_recall 0.2125 [0.384615,0.153846,0.083333,0.25,0.071429,0.333333] weighted_recall 0.2 [0.230769,0.153846,0.333333,0.25,0.214286,0] weighted_recall 0.2375 [0,0.230769,0.25,0.4375,0.214286,0.25] weighted_recall 0.2625 [0.307692,0.214286,0.230769,0.4,0.307692,0.083333] weighted_recall 0.2125 [0.076923,0.214286,0.307692,0.266667,0.307692,0.083333] weighted_recall 0.1518987341772152 [0.083333,0.076923,0.076923,0.2,0.307692,0.153846] weighted_recall 0.22784810126582278 [0.25,0.076923,0.307692,0.333333,0.230769,0.153846] weighted_recall 0.25316455696202533 [0.25,0.230769,0.333333,0.2,0.214286,0.307692]