Task
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 4585 Supervised Classification arrhythmia 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7957, kappa: 0.5878, kb_relative_information_score: 2400.5078, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7961, predictive_accuracy: 0.7962, prior_entropy: 0.9949, recall: 0.7962, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8419, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.781, kappa: 0.5582, kb_relative_information_score: 1542.4654, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7823, predictive_accuracy: 0.7821, prior_entropy: 0.9949, recall: 0.7821, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8135, scimark_benchmark: 972.587, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7886, kappa: 0.5739, kb_relative_information_score: 2152.0036, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7885, predictive_accuracy: 0.7887, prior_entropy: 0.9949, recall: 0.7887, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8166, scimark_benchmark: 934.3687, usercpu_time_millis: 1190, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 337.6412, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 916.0735, usercpu_time_millis: 1590, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 941.6675, usercpu_time_millis: 580, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8101, kappa: 0.6168, kb_relative_information_score: 1894.6236, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8118, predictive_accuracy: 0.8111, prior_entropy: 0.9949, recall: 0.8111, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7131, kappa: 0.4246, kb_relative_information_score: 1597.162, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7154, predictive_accuracy: 0.7126, prior_entropy: 0.9949, recall: 0.7126, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.875, scimark_benchmark: 936.8075, usercpu_time_millis: 1590, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.739, kappa: 0.4735, kb_relative_information_score: 2121.402, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7393, predictive_accuracy: 0.7398, prior_entropy: 0.9949, recall: 0.7398, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.972, scimark_benchmark: 931.771, usercpu_time_millis: 37400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 37380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8002, kappa: 0.5972, kb_relative_information_score: 1532.8558, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8064, predictive_accuracy: 0.8024, prior_entropy: 0.9949, recall: 0.8024, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7857, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 337.6412, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 337.6412, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 932.438, usercpu_time_millis: 1700, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7792, kappa: 0.5552, kb_relative_information_score: 2508.9662, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7874, predictive_accuracy: 0.7823, prior_entropy: 0.9949, recall: 0.7823, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9061, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 932.438, usercpu_time_millis: 470, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 974.2014, usercpu_time_millis: 690, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8002, kappa: 0.5972, kb_relative_information_score: 1532.8558, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8064, predictive_accuracy: 0.8024, prior_entropy: 0.9949, recall: 0.8024, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7857, scimark_benchmark: 943.1009, usercpu_time_millis: 390, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7957, kappa: 0.5878, kb_relative_information_score: 2400.5078, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7961, predictive_accuracy: 0.7962, prior_entropy: 0.9949, recall: 0.7962, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8419, scimark_benchmark: 942.2392, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.781, kappa: 0.5582, kb_relative_information_score: 1542.4654, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7823, predictive_accuracy: 0.7821, prior_entropy: 0.9949, recall: 0.7821, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8135, scimark_benchmark: 908.9569, usercpu_time_millis: 980, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7886, kappa: 0.5739, kb_relative_information_score: 2152.0036, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7885, predictive_accuracy: 0.7887, prior_entropy: 0.9949, recall: 0.7887, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8166, scimark_benchmark: 936.2574, usercpu_time_millis: 1120, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 337.6412, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 905.2959, usercpu_time_millis: 1770, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 337.6412, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 926.5462, usercpu_time_millis: 1270, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 930.404, usercpu_time_millis: 560, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 938.1282, usercpu_time_millis: 510, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 930.404, usercpu_time_millis: 540, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 930.404, usercpu_time_millis: 560, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8101, kappa: 0.6168, kb_relative_information_score: 1894.6236, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8118, predictive_accuracy: 0.8111, prior_entropy: 0.9949, recall: 0.8111, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 903.2737, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7131, kappa: 0.4246, kb_relative_information_score: 1597.162, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7154, predictive_accuracy: 0.7126, prior_entropy: 0.9949, recall: 0.7126, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.875, scimark_benchmark: 917.5013, usercpu_time_millis: 1660, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 945.6228, usercpu_time_millis: 540, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.739, kappa: 0.4735, kb_relative_information_score: 2121.402, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7393, predictive_accuracy: 0.7398, prior_entropy: 0.9949, recall: 0.7398, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.972, scimark_benchmark: 942.2392, usercpu_time_millis: 39660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 39640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8002, kappa: 0.5972, kb_relative_information_score: 1532.8558, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8064, predictive_accuracy: 0.8024, prior_entropy: 0.9949, recall: 0.8024, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7857, scimark_benchmark: 936.3213, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.846, kappa: 0.6892, kb_relative_information_score: 2201.8241, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8469, predictive_accuracy: 0.8465, prior_entropy: 0.9949, recall: 0.8465, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6965, scimark_benchmark: 938.1282, usercpu_time_millis: 83330, usercpu_time_millis_testing: 29980, usercpu_time_millis_training: 53350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8433, kappa: 0.6838, kb_relative_information_score: 2197.9554, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8442, predictive_accuracy: 0.8438, prior_entropy: 0.9949, recall: 0.8438, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6985, scimark_benchmark: 938.4601, usercpu_time_millis: 44140, usercpu_time_millis_testing: 16320, usercpu_time_millis_training: 27820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8421, kappa: 0.6816, kb_relative_information_score: 2189.1636, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8425, predictive_accuracy: 0.8425, prior_entropy: 0.9949, recall: 0.8425, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7042, scimark_benchmark: 931.9419, usercpu_time_millis: 21340, usercpu_time_millis_testing: 8750, usercpu_time_millis_training: 12590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8369, kappa: 0.671, kb_relative_information_score: 2184.2045, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8376, predictive_accuracy: 0.8374, prior_entropy: 0.9949, recall: 0.8374, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7126, scimark_benchmark: 891.6381, usercpu_time_millis: 12110, usercpu_time_millis_testing: 4960, usercpu_time_millis_training: 7150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8166, kappa: 0.6301, kb_relative_information_score: 2153.4556, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.817, predictive_accuracy: 0.817, prior_entropy: 0.9949, recall: 0.817, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7384, scimark_benchmark: 921.466, usercpu_time_millis: 5090, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8007, kappa: 0.5978, kb_relative_information_score: 2490.2737, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8019, predictive_accuracy: 0.8015, prior_entropy: 0.9949, recall: 0.8015, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7906, scimark_benchmark: 930.0565, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8011, kappa: 0.5987, kb_relative_information_score: 2487.5322, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8024, predictive_accuracy: 0.802, prior_entropy: 0.9949, recall: 0.802, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7907, scimark_benchmark: 936.7184, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1313.8988, usercpu_time_millis: 390, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 908.2231, usercpu_time_millis: 550, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1338.5214, usercpu_time_millis: 380, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8101, kappa: 0.6168, kb_relative_information_score: 1894.6236, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.8118, predictive_accuracy: 0.8111, prior_entropy: 0.9949, recall: 0.8111, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 1347.6543, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 930.5999, usercpu_time_millis: 510, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1317.5857, usercpu_time_millis: 330, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1325.8468, usercpu_time_millis: 290, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7957, kappa: 0.5878, kb_relative_information_score: 2400.5078, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7961, predictive_accuracy: 0.7962, prior_entropy: 0.9949, recall: 0.7962, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8419, scimark_benchmark: 1315.9287, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7792, kappa: 0.5552, kb_relative_information_score: 2508.9662, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7874, predictive_accuracy: 0.7823, prior_entropy: 0.9949, recall: 0.7823, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9061, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1350.2591, usercpu_time_millis: 370, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1374.9737, usercpu_time_millis: 400, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1324.6442, usercpu_time_millis: 350, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7957, kappa: 0.5878, kb_relative_information_score: 2400.5078, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7961, predictive_accuracy: 0.7962, prior_entropy: 0.9949, recall: 0.7962, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8419, scimark_benchmark: 1338.5214, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7792, kappa: 0.5552, kb_relative_information_score: 2508.9662, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7874, predictive_accuracy: 0.7823, prior_entropy: 0.9949, recall: 0.7823, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9061, scimark_benchmark: 1329.8008, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1319.4538, usercpu_time_millis: 300, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1329.8008, usercpu_time_millis: 350, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1316.5668, usercpu_time_millis: 340, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7131, kappa: 0.4246, kb_relative_information_score: 1597.162, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7154, predictive_accuracy: 0.7126, prior_entropy: 0.9949, recall: 0.7126, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.875, scimark_benchmark: 1307.8606, usercpu_time_millis: 950, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.739, kappa: 0.4735, kb_relative_information_score: 2121.402, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7393, predictive_accuracy: 0.7398, prior_entropy: 0.9949, recall: 0.7398, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.972, scimark_benchmark: 1316.5396, usercpu_time_millis: 47130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 47070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1343.3311, usercpu_time_millis: 340, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7957, kappa: 0.5878, kb_relative_information_score: 2400.5078, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7961, predictive_accuracy: 0.7962, prior_entropy: 0.9949, recall: 0.7962, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8419, scimark_benchmark: 1306.9281, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.739, kappa: 0.4735, kb_relative_information_score: 2121.402, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7393, predictive_accuracy: 0.7398, prior_entropy: 0.9949, recall: 0.7398, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.972, scimark_benchmark: 1334.863, usercpu_time_millis: 47040, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 46970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7792, kappa: 0.5552, kb_relative_information_score: 2508.9662, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7874, predictive_accuracy: 0.7823, prior_entropy: 0.9949, recall: 0.7823, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9061, scimark_benchmark: 1326.2019, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1319.4538, usercpu_time_millis: 310, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1325.8468, usercpu_time_millis: 300, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7843, kappa: 0.5665, kb_relative_information_score: 2544.4154, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4965, number_of_instances: 4520, precision: 0.7977, predictive_accuracy: 0.7885, prior_entropy: 0.9949, recall: 0.7885, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1326.2019, usercpu_time_millis: 320, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 70,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs