Task
Supervised Classification on triazines

Supervised Classification on triazines

Task 4358 Supervised Classification triazines 225 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5328, kappa: 0.069, kb_relative_information_score: 85.9034, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5668, predictive_accuracy: 0.5903, prior_entropy: 0.979, recall: 0.5903, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0425, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7198, kappa: 0.4181, kb_relative_information_score: 482.7497, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.723, predictive_accuracy: 0.7253, prior_entropy: 0.979, recall: 0.7253, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8743, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7388, kappa: 0.4577, kb_relative_information_score: 669.4682, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.743, predictive_accuracy: 0.7441, prior_entropy: 0.979, recall: 0.7441, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8808, scimark_benchmark: 934.3687, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 252.7412, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 944.1067, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 252.7412, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 916.0735, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7609, kappa: 0.5034, kb_relative_information_score: 687.0707, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7656, predictive_accuracy: 0.7656, prior_entropy: 0.979, recall: 0.7656, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8039, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7472, kappa: 0.4755, kb_relative_information_score: 699.8474, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7487, predictive_accuracy: 0.7505, prior_entropy: 0.979, recall: 0.7505, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8507, scimark_benchmark: 908.6124, usercpu_time_millis: 1240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7563, kappa: 0.4941, kb_relative_information_score: 741.6984, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7601, predictive_accuracy: 0.7608, prior_entropy: 0.979, recall: 0.7608, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8858, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 252.7412, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 252.7412, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7646, kappa: 0.5122, kb_relative_information_score: 792.435, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7651, predictive_accuracy: 0.7667, prior_entropy: 0.979, recall: 0.7667, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8007, scimark_benchmark: 947.1781, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5328, kappa: 0.069, kb_relative_information_score: 85.9034, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5668, predictive_accuracy: 0.5903, prior_entropy: 0.979, recall: 0.5903, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0425, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7198, kappa: 0.4181, kb_relative_information_score: 482.7497, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.723, predictive_accuracy: 0.7253, prior_entropy: 0.979, recall: 0.7253, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8743, scimark_benchmark: 908.9569, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7388, kappa: 0.4577, kb_relative_information_score: 669.4682, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.743, predictive_accuracy: 0.7441, prior_entropy: 0.979, recall: 0.7441, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8808, scimark_benchmark: 936.2574, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 252.7412, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 927.2882, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 252.7412, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 943.6618, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7609, kappa: 0.5034, kb_relative_information_score: 687.0707, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7656, predictive_accuracy: 0.7656, prior_entropy: 0.979, recall: 0.7656, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8039, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7472, kappa: 0.4755, kb_relative_information_score: 699.8474, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7487, predictive_accuracy: 0.7505, prior_entropy: 0.979, recall: 0.7505, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8507, scimark_benchmark: 934.5964, usercpu_time_millis: 870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7563, kappa: 0.4941, kb_relative_information_score: 741.6984, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7601, predictive_accuracy: 0.7608, prior_entropy: 0.979, recall: 0.7608, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8858, scimark_benchmark: 932.438, usercpu_time_millis: 2270, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7646, kappa: 0.5122, kb_relative_information_score: 792.435, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7651, predictive_accuracy: 0.7667, prior_entropy: 0.979, recall: 0.7667, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8007, scimark_benchmark: 901.4991, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7809, kappa: 0.5454, kb_relative_information_score: 826.2044, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7833, predictive_accuracy: 0.7839, prior_entropy: 0.979, recall: 0.7839, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7744, scimark_benchmark: 936.2574, usercpu_time_millis: 5560, usercpu_time_millis_testing: 2200, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7792, kappa: 0.5419, kb_relative_information_score: 828.3242, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7816, predictive_accuracy: 0.7823, prior_entropy: 0.979, recall: 0.7823, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7744, scimark_benchmark: 906.5979, usercpu_time_millis: 3470, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7796, kappa: 0.543, kb_relative_information_score: 828.2317, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7813, predictive_accuracy: 0.7823, prior_entropy: 0.979, recall: 0.7823, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.776, scimark_benchmark: 929.7512, usercpu_time_millis: 1420, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7806, kappa: 0.5449, kb_relative_information_score: 830.5862, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7825, predictive_accuracy: 0.7833, prior_entropy: 0.979, recall: 0.7833, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7786, scimark_benchmark: 901.5805, usercpu_time_millis: 670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7737, kappa: 0.5306, kb_relative_information_score: 815.1974, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7752, predictive_accuracy: 0.7763, prior_entropy: 0.979, recall: 0.7763, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7926, scimark_benchmark: 862.7006, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.78, kappa: 0.5444, kb_relative_information_score: 902.0275, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7804, predictive_accuracy: 0.7817, prior_entropy: 0.979, recall: 0.7817, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8186, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.78, kappa: 0.5444, kb_relative_information_score: 902.0275, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7804, predictive_accuracy: 0.7817, prior_entropy: 0.979, recall: 0.7817, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8186, scimark_benchmark: 889.4922, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7779, kappa: 0.5399, kb_relative_information_score: 900.1929, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7782, predictive_accuracy: 0.7796, prior_entropy: 0.979, recall: 0.7796, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8178, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7779, kappa: 0.5397, kb_relative_information_score: 868.4013, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7789, predictive_accuracy: 0.7801, prior_entropy: 0.979, recall: 0.7801, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8087, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7444, kappa: 0.4693, kb_relative_information_score: 674.5451, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.752, predictive_accuracy: 0.7511, prior_entropy: 0.979, recall: 0.7511, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8595, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7628, kappa: 0.5077, kb_relative_information_score: 929.2419, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7738, predictive_accuracy: 0.7699, prior_entropy: 0.979, recall: 0.7699, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8809, scimark_benchmark: 926.5859, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7609, kappa: 0.5034, kb_relative_information_score: 687.0707, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7656, predictive_accuracy: 0.7656, prior_entropy: 0.979, recall: 0.7656, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8039, scimark_benchmark: 908.2231, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5276, kappa: 0.0564, kb_relative_information_score: 80.5345, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5562, predictive_accuracy: 0.5839, prior_entropy: 0.979, recall: 0.5839, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0523, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7646, kappa: 0.5122, kb_relative_information_score: 792.435, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7651, predictive_accuracy: 0.7667, prior_entropy: 0.979, recall: 0.7667, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8007, scimark_benchmark: 1342.6744, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5328, kappa: 0.069, kb_relative_information_score: 85.9034, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5668, predictive_accuracy: 0.5903, prior_entropy: 0.979, recall: 0.5903, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0425, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5276, kappa: 0.0564, kb_relative_information_score: 80.5345, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5562, predictive_accuracy: 0.5839, prior_entropy: 0.979, recall: 0.5839, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0523, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7609, kappa: 0.5034, kb_relative_information_score: 687.0707, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7656, predictive_accuracy: 0.7656, prior_entropy: 0.979, recall: 0.7656, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8039, scimark_benchmark: 1306.9281, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5328, kappa: 0.069, kb_relative_information_score: 85.9034, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5668, predictive_accuracy: 0.5903, prior_entropy: 0.979, recall: 0.5903, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0425, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 252.7412, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1351.1238, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7609, kappa: 0.5034, kb_relative_information_score: 687.0707, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7656, predictive_accuracy: 0.7656, prior_entropy: 0.979, recall: 0.7656, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8039, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7472, kappa: 0.4755, kb_relative_information_score: 699.8504, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7487, predictive_accuracy: 0.7505, prior_entropy: 0.979, recall: 0.7505, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8507, scimark_benchmark: 1358.6198, usercpu_time_millis: 980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7646, kappa: 0.5122, kb_relative_information_score: 792.435, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7651, predictive_accuracy: 0.7667, prior_entropy: 0.979, recall: 0.7667, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8007, scimark_benchmark: 1354.5533, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7609, kappa: 0.5034, kb_relative_information_score: 687.0707, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.7656, predictive_accuracy: 0.7656, prior_entropy: 0.979, recall: 0.7656, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8039, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.528, kappa: 0.0574, kb_relative_information_score: 81.8676, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4854, number_of_instances: 1860, precision: 0.5571, predictive_accuracy: 0.5844, prior_entropy: 0.979, recall: 0.5844, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0506, scimark_benchmark: 1318.4315,

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