Task
Supervised Classification on abalone

Supervised Classification on abalone

Task 4291 Supervised Classification abalone 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7738, kappa: 0.5478, kb_relative_information_score: 17000.8538, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7743, predictive_accuracy: 0.7739, prior_entropy: 1, recall: 0.7739, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8035, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7778, kappa: 0.5556, kb_relative_information_score: 12854.1483, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.778, predictive_accuracy: 0.7778, prior_entropy: 1, recall: 0.7778, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 972.587, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7802, kappa: 0.5609, kb_relative_information_score: 17688.9443, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7818, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 934.3687, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7845, kappa: 0.5693, kb_relative_information_score: 19401.2609, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7852, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7678, scimark_benchmark: 938.191, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7995, kappa: 0.599, kb_relative_information_score: 19593.5911, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7996, predictive_accuracy: 0.7995, prior_entropy: 1, recall: 0.7995, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7433, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.1164, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9566, scimark_benchmark: 927.2917, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7515, kappa: 0.5075, kb_relative_information_score: 21183.617, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.763, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7515, kappa: 0.5075, kb_relative_information_score: 21183.617, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.763, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.806, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9567, scimark_benchmark: 974.2014, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.784, kappa: 0.5683, kb_relative_information_score: 19368.2491, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7848, predictive_accuracy: 0.7841, prior_entropy: 1, recall: 0.7841, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.766, scimark_benchmark: 937.5117, usercpu_time_millis: 1810, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7738, kappa: 0.5478, kb_relative_information_score: 17000.8538, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7743, predictive_accuracy: 0.7739, prior_entropy: 1, recall: 0.7739, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8035, scimark_benchmark: 942.2392, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7778, kappa: 0.5556, kb_relative_information_score: 12854.1483, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.778, predictive_accuracy: 0.7778, prior_entropy: 1, recall: 0.7778, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 908.9569, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7802, kappa: 0.5609, kb_relative_information_score: 17688.9443, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7818, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 938.1282, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7515, kappa: 0.5075, kb_relative_information_score: 21183.617, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.763, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 927.2882, usercpu_time_millis: 3410, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7515, kappa: 0.5075, kb_relative_information_score: 21183.617, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.763, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 906.0979, usercpu_time_millis: 3920, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.806, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9567, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7845, kappa: 0.5693, kb_relative_information_score: 19401.2609, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7852, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7678, scimark_benchmark: 903.2737, usercpu_time_millis: 320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7995, kappa: 0.599, kb_relative_information_score: 19593.5911, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7996, predictive_accuracy: 0.7995, prior_entropy: 1, recall: 0.7995, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7433, scimark_benchmark: 931.9419, usercpu_time_millis: 294700, usercpu_time_millis_testing: 2410, usercpu_time_millis_training: 292290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.784, kappa: 0.5683, kb_relative_information_score: 19368.2491, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7848, predictive_accuracy: 0.7841, prior_entropy: 1, recall: 0.7841, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.766, scimark_benchmark: 936.3213, usercpu_time_millis: 2380, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.7969, kappa: 0.5945, kb_relative_information_score: 18414.4238, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7989, predictive_accuracy: 0.7972, prior_entropy: 1, recall: 0.7972, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7506, scimark_benchmark: 934.695, usercpu_time_millis: 26010, usercpu_time_millis_testing: 6250, usercpu_time_millis_training: 19760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.7976, kappa: 0.5957, kb_relative_information_score: 18398.2849, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7996, predictive_accuracy: 0.7978, prior_entropy: 1, recall: 0.7978, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.751, scimark_benchmark: 906.5979, usercpu_time_millis: 10950, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 9220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7977, kappa: 0.596, kb_relative_information_score: 18418.5599, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7998, predictive_accuracy: 0.7979, prior_entropy: 1, recall: 0.7979, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7514, scimark_benchmark: 929.7512, usercpu_time_millis: 5650, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 4820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7983, kappa: 0.5971, kb_relative_information_score: 18453.1201, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.8003, predictive_accuracy: 0.7985, prior_entropy: 1, recall: 0.7985, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7518, scimark_benchmark: 891.6381, usercpu_time_millis: 2850, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.7953, kappa: 0.5913, kb_relative_information_score: 18380.0949, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7975, predictive_accuracy: 0.7956, prior_entropy: 1, recall: 0.7956, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7559, scimark_benchmark: 921.466, usercpu_time_millis: 1390, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.747, kappa: 0.4942, kb_relative_information_score: 15866.1517, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7473, predictive_accuracy: 0.7471, prior_entropy: 1, recall: 0.7471, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.747, kappa: 0.4942, kb_relative_information_score: 15866.1517, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7473, predictive_accuracy: 0.7471, prior_entropy: 1, recall: 0.7471, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 889.4922, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.747, kappa: 0.4942, kb_relative_information_score: 15866.1517, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7473, predictive_accuracy: 0.7471, prior_entropy: 1, recall: 0.7471, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.747, kappa: 0.4942, kb_relative_information_score: 15866.1517, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7473, predictive_accuracy: 0.7471, prior_entropy: 1, recall: 0.7471, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.747, kappa: 0.4942, kb_relative_information_score: 15866.1517, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7473, predictive_accuracy: 0.7471, prior_entropy: 1, recall: 0.7471, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7552, kappa: 0.5104, kb_relative_information_score: 14703.3282, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7553, predictive_accuracy: 0.7552, prior_entropy: 1, recall: 0.7552, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8355, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7643, kappa: 0.5288, kb_relative_information_score: 21712.278, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7647, predictive_accuracy: 0.7644, prior_entropy: 1, recall: 0.7644, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9083, scimark_benchmark: 936.1714, usercpu_time_millis: 840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 830,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.806, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9567, scimark_benchmark: 1333.202, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1324.8408, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.806, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9567, scimark_benchmark: 1310.3168, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.784, kappa: 0.5683, kb_relative_information_score: 19368.2491, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7848, predictive_accuracy: 0.7841, prior_entropy: 1, recall: 0.7841, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.766, scimark_benchmark: 1374.9737, usercpu_time_millis: 1940, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1342.8584, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7995, kappa: 0.599, kb_relative_information_score: 19593.5911, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7996, predictive_accuracy: 0.7995, prior_entropy: 1, recall: 0.7995, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7433, scimark_benchmark: 1332.9478, usercpu_time_millis: 163090, usercpu_time_millis_testing: 2390, usercpu_time_millis_training: 160700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1393.8432, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7802, kappa: 0.5609, kb_relative_information_score: 17688.9443, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7818, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1334.863, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7515, kappa: 0.5075, kb_relative_information_score: 21183.617, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.763, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1334.863, usercpu_time_millis: 3190, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.806, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9567, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.1164, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9566, scimark_benchmark: 1313.11, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.784, kappa: 0.5683, kb_relative_information_score: 19368.2491, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7848, predictive_accuracy: 0.7841, prior_entropy: 1, recall: 0.7841, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.766, scimark_benchmark: 1320.8283, usercpu_time_millis: 1840, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 14685.8675, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7527, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8383, scimark_benchmark: 1318.3027, usercpu_time_millis: 33540, usercpu_time_millis_testing: 33540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7778, kappa: 0.5556, kb_relative_information_score: 12854.1483, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.778, predictive_accuracy: 0.7778, prior_entropy: 1, recall: 0.7778, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1346.0226, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7899, kappa: 0.5804, kb_relative_information_score: 22812.6157, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7919, predictive_accuracy: 0.7901, prior_entropy: 1, recall: 0.7901, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8625, scimark_benchmark: 1256.2802, usercpu_time_millis: 540, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7802, kappa: 0.5609, kb_relative_information_score: 17688.9443, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7818, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1364.991, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7964, kappa: 0.5931, kb_relative_information_score: 19623.862, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7975, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7508, scimark_benchmark: 1324.5762, usercpu_time_millis: 4730, usercpu_time_millis_training: 4730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.806, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9567, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7845, kappa: 0.5693, kb_relative_information_score: 19401.2609, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7852, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7678, scimark_benchmark: 1299.6719, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7771, kappa: 0.5542, kb_relative_information_score: 18316.6433, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7771, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791, scimark_benchmark: 1351.1238, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4742, kb_relative_information_score: 19591.1164, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7412, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9566, scimark_benchmark: 1336.2908, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.784, kappa: 0.5683, kb_relative_information_score: 19368.2491, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 41770, precision: 0.7848, predictive_accuracy: 0.7841, prior_entropy: 1, recall: 0.7841, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.766, scimark_benchmark: 1371.174, usercpu_time_millis: 1740, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1440,

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