OpenML
Supervised Classification on prnn_fglass

Supervised Classification on prnn_fglass

Task 4564 Supervised Classification prnn_fglass 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7404, kappa: 0.4221, kb_relative_information_score: 586.0064, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7442, predictive_accuracy: 0.7505, prior_entropy: 0.9397, recall: 0.7505, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9137, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7497, kappa: 0.4504, kb_relative_information_score: 591.054, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7487, predictive_accuracy: 0.7514, prior_entropy: 0.9397, recall: 0.7514, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8685, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7705, kappa: 0.4956, kb_relative_information_score: 821.8601, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7696, predictive_accuracy: 0.7724, prior_entropy: 0.9397, recall: 0.7724, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8855, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7675, kappa: 0.4819, kb_relative_information_score: 1061.4995, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7751, predictive_accuracy: 0.7776, prior_entropy: 0.9397, recall: 0.7776, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9855, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7675, kappa: 0.4819, kb_relative_information_score: 1061.4995, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7751, predictive_accuracy: 0.7776, prior_entropy: 0.9397, recall: 0.7776, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9855, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7367, kappa: 0.4151, kb_relative_information_score: 565.9411, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7375, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9367, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7738, kappa: 0.4976, kb_relative_information_score: 747.1281, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7762, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8164, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7378, kappa: 0.4159, kb_relative_information_score: 490.8482, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7423, predictive_accuracy: 0.7486, prior_entropy: 0.9397, recall: 0.7486, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8791, scimark_benchmark: 944.1067, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7819, kappa: 0.5215, kb_relative_information_score: 900.3519, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7812, predictive_accuracy: 0.7832, prior_entropy: 0.9397, recall: 0.7832, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8726, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7675, kappa: 0.4819, kb_relative_information_score: 1061.4995, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7751, predictive_accuracy: 0.7776, prior_entropy: 0.9397, recall: 0.7776, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9855, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7675, kappa: 0.4819, kb_relative_information_score: 1061.4995, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7751, predictive_accuracy: 0.7776, prior_entropy: 0.9397, recall: 0.7776, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9855, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7367, kappa: 0.4151, kb_relative_information_score: 565.9411, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7375, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9367, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8396, kappa: 0.6452, kb_relative_information_score: 992.2776, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.8411, predictive_accuracy: 0.8425, prior_entropy: 0.9397, recall: 0.8425, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.728, scimark_benchmark: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7404, kappa: 0.4221, kb_relative_information_score: 586.0064, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7442, predictive_accuracy: 0.7505, prior_entropy: 0.9397, recall: 0.7505, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9137, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7497, kappa: 0.4504, kb_relative_information_score: 591.054, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7487, predictive_accuracy: 0.7514, prior_entropy: 0.9397, recall: 0.7514, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8685, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7705, kappa: 0.4956, kb_relative_information_score: 821.8601, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7696, predictive_accuracy: 0.7724, prior_entropy: 0.9397, recall: 0.7724, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8855, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7675, kappa: 0.4819, kb_relative_information_score: 1061.4995, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7751, predictive_accuracy: 0.7776, prior_entropy: 0.9397, recall: 0.7776, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9855, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7675, kappa: 0.4819, kb_relative_information_score: 1061.4995, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7751, predictive_accuracy: 0.7776, prior_entropy: 0.9397, recall: 0.7776, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9855, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7367, kappa: 0.4151, kb_relative_information_score: 565.9411, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7375, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9367, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7738, kappa: 0.4976, kb_relative_information_score: 747.1281, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7762, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8164, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7819, kappa: 0.5215, kb_relative_information_score: 900.3519, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7812, predictive_accuracy: 0.7832, prior_entropy: 0.9397, recall: 0.7832, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8726, scimark_benchmark: 942.2392, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8396, kappa: 0.6452, kb_relative_information_score: 992.2776, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.8411, predictive_accuracy: 0.8425, prior_entropy: 0.9397, recall: 0.8425, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.728, scimark_benchmark: 938.988, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7997, kappa: 0.5539, kb_relative_information_score: 826.472, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.8086, predictive_accuracy: 0.8079, prior_entropy: 0.9397, recall: 0.8079, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7602, scimark_benchmark: 917.5013, usercpu_time_millis: 950, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8006, kappa: 0.556, kb_relative_information_score: 828.8422, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.8086, predictive_accuracy: 0.8084, prior_entropy: 0.9397, recall: 0.8084, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7608, scimark_benchmark: 936.3373, usercpu_time_millis: 400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7966, kappa: 0.5474, kb_relative_information_score: 820.7935, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.8025, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7659, scimark_benchmark: 931.9419, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7847, kappa: 0.5218, kb_relative_information_score: 805.8259, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7879, predictive_accuracy: 0.7911, prior_entropy: 0.9397, recall: 0.7911, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7771, scimark_benchmark: 941.589, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7834, kappa: 0.5187, kb_relative_information_score: 806.5728, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.787, predictive_accuracy: 0.7902, prior_entropy: 0.9397, recall: 0.7902, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7864, scimark_benchmark: 928.821, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7499, kappa: 0.4478, kb_relative_information_score: 709.1362, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7489, predictive_accuracy: 0.7537, prior_entropy: 0.9397, recall: 0.7537, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8983, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7499, kappa: 0.4478, kb_relative_information_score: 709.1362, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7489, predictive_accuracy: 0.7537, prior_entropy: 0.9397, recall: 0.7537, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8983, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7499, kappa: 0.4478, kb_relative_information_score: 709.1362, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7489, predictive_accuracy: 0.7537, prior_entropy: 0.9397, recall: 0.7537, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8983, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7499, kappa: 0.4478, kb_relative_information_score: 708.5832, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7489, predictive_accuracy: 0.7537, prior_entropy: 0.9397, recall: 0.7537, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8984, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -1.9034, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7404, kappa: 0.4221, kb_relative_information_score: 586.0064, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7442, predictive_accuracy: 0.7505, prior_entropy: 0.9397, recall: 0.7505, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9137, scimark_benchmark: 1313.8988,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7404, kappa: 0.4221, kb_relative_information_score: 586.0064, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7442, predictive_accuracy: 0.7505, prior_entropy: 0.9397, recall: 0.7505, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9137, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7367, kappa: 0.4151, kb_relative_information_score: 565.9411, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7375, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9367, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7378, kappa: 0.4159, kb_relative_information_score: 490.8482, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7423, predictive_accuracy: 0.7486, prior_entropy: 0.9397, recall: 0.7486, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8791, scimark_benchmark: 1313.9976, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 1333.0982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7738, kappa: 0.4976, kb_relative_information_score: 747.1281, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7762, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8164, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7372, kappa: 0.4166, kb_relative_information_score: 602.7478, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7376, predictive_accuracy: 0.7444, prior_entropy: 0.9397, recall: 0.7444, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9191, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7819, kappa: 0.5215, kb_relative_information_score: 900.3519, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.7812, predictive_accuracy: 0.7832, prior_entropy: 0.9397, recall: 0.7832, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8726, scimark_benchmark: 1322.1893, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8396, kappa: 0.6452, kb_relative_information_score: 992.2776, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.8411, predictive_accuracy: 0.8425, prior_entropy: 0.9397, recall: 0.8425, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.728, scimark_benchmark: 1350.8432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6467, kappa: 0.2119, kb_relative_information_score: 264.7974, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4584, number_of_instances: 2140, precision: 0.6514, predictive_accuracy: 0.671, prior_entropy: 0.9397, recall: 0.671, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9549, scimark_benchmark: 1324.5762, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

OpenML bootcamp

From your own software

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

OpenML APIs