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Supervised Classification on jEdit_4.2_4.3

Supervised Classification on jEdit_4.2_4.3

Task 4606 Supervised Classification jEdit_4.2_4.3 179 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6083, kappa: 0.2099, kb_relative_information_score: 356.1723, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6095, predictive_accuracy: 0.6076, prior_entropy: 0.992, recall: 0.6076, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9875, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6355, kappa: 0.266, kb_relative_information_score: 521.1856, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6376, predictive_accuracy: 0.6347, prior_entropy: 0.992, recall: 0.6347, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9436, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6493, kappa: 0.291, kb_relative_information_score: 690.7123, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6495, predictive_accuracy: 0.6491, prior_entropy: 0.992, recall: 0.6491, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9762, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5471, kappa: 0.181, kb_relative_information_score: 885.1574, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.7372, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.23, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.5959, kappa: 0.2025, kb_relative_information_score: 468.7403, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6109, predictive_accuracy: 0.5962, prior_entropy: 0.992, recall: 0.5962, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.055, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6638, kappa: 0.3204, kb_relative_information_score: 751.1456, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.664, predictive_accuracy: 0.6637, prior_entropy: 0.992, recall: 0.6637, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6196, kappa: 0.2291, kb_relative_information_score: 445.1269, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6191, predictive_accuracy: 0.6209, prior_entropy: 0.992, recall: 0.6209, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.956, scimark_benchmark: 908.6124, usercpu_time_millis: 2460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6584, kappa: 0.3113, kb_relative_information_score: 673.4857, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6598, predictive_accuracy: 0.6577, prior_entropy: 0.992, recall: 0.6577, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9832, scimark_benchmark: 944.1067, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6768, kappa: 0.3453, kb_relative_information_score: 868.532, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6765, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5471, kappa: 0.181, kb_relative_information_score: 885.1574, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.7372, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.23, 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: 0.5836, f_measure: 0.5471, kappa: 0.181, kb_relative_information_score: 885.1574, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.7372, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.23, scimark_benchmark: 974.2014, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6768, kappa: 0.3453, kb_relative_information_score: 868.532, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6765, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 974.2014, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6083, kappa: 0.2099, kb_relative_information_score: 356.1723, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6095, predictive_accuracy: 0.6076, prior_entropy: 0.992, recall: 0.6076, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9875, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6355, kappa: 0.266, kb_relative_information_score: 521.1856, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6376, predictive_accuracy: 0.6347, prior_entropy: 0.992, recall: 0.6347, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9436, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6493, kappa: 0.291, kb_relative_information_score: 690.7123, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6495, predictive_accuracy: 0.6491, prior_entropy: 0.992, recall: 0.6491, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9762, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5471, kappa: 0.181, kb_relative_information_score: 885.1574, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.7372, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.23, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.5959, kappa: 0.2025, kb_relative_information_score: 468.7403, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6109, predictive_accuracy: 0.5962, prior_entropy: 0.992, recall: 0.5962, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.055, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6638, kappa: 0.3204, kb_relative_information_score: 751.1456, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.664, predictive_accuracy: 0.6637, prior_entropy: 0.992, recall: 0.6637, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6196, kappa: 0.2291, kb_relative_information_score: 445.1269, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6191, predictive_accuracy: 0.6209, prior_entropy: 0.992, recall: 0.6209, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.956, scimark_benchmark: 933.3455, usercpu_time_millis: 1680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6768, kappa: 0.3453, kb_relative_information_score: 868.532, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6765, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 938.988, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6625, kappa: 0.3195, kb_relative_information_score: 527.7482, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6639, predictive_accuracy: 0.6618, prior_entropy: 0.992, recall: 0.6618, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9298, scimark_benchmark: 938.4601, usercpu_time_millis: 1310, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6561, kappa: 0.3059, kb_relative_information_score: 530.4799, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.657, predictive_accuracy: 0.6556, prior_entropy: 0.992, recall: 0.6556, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9294, scimark_benchmark: 972.587, usercpu_time_millis: 800, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.664, kappa: 0.3222, kb_relative_information_score: 526.4134, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6652, predictive_accuracy: 0.6634, prior_entropy: 0.992, recall: 0.6634, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9315, scimark_benchmark: 939.8002, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.6562, kappa: 0.3057, kb_relative_information_score: 521.8409, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6568, predictive_accuracy: 0.6558, prior_entropy: 0.992, recall: 0.6558, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9343, scimark_benchmark: 917.2109, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.662, kappa: 0.317, kb_relative_information_score: 537.9718, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6623, predictive_accuracy: 0.6618, prior_entropy: 0.992, recall: 0.6618, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9349, scimark_benchmark: 920.5394, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6414, kappa: 0.2804, kb_relative_information_score: 486.1543, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6457, predictive_accuracy: 0.6404, prior_entropy: 0.992, recall: 0.6404, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9699, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6414, kappa: 0.2804, kb_relative_information_score: 486.1543, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6457, predictive_accuracy: 0.6404, prior_entropy: 0.992, recall: 0.6404, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9699, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6414, kappa: 0.2804, kb_relative_information_score: 486.1543, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6457, predictive_accuracy: 0.6404, prior_entropy: 0.992, recall: 0.6404, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9699, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6414, kappa: 0.2804, kb_relative_information_score: 486.1543, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6457, predictive_accuracy: 0.6404, prior_entropy: 0.992, recall: 0.6404, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9699, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6414, kappa: 0.2804, kb_relative_information_score: 486.1543, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6457, predictive_accuracy: 0.6404, prior_entropy: 0.992, recall: 0.6404, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9699, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3936, kb_relative_information_score: -0.5956, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6578, kappa: 0.3095, kb_relative_information_score: 902.737, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6588, predictive_accuracy: 0.6572, prior_entropy: 0.992, recall: 0.6572, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0327, scimark_benchmark: 929.0296, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.653, kappa: 0.3004, kb_relative_information_score: 845.6491, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6545, predictive_accuracy: 0.6523, prior_entropy: 0.992, recall: 0.6523, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.036, scimark_benchmark: 929.0296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.6283, kappa: 0.2517, kb_relative_information_score: 705.4672, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6306, predictive_accuracy: 0.6274, prior_entropy: 0.992, recall: 0.6274, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.044, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.6172, kappa: 0.2292, kb_relative_information_score: 627.3889, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6194, predictive_accuracy: 0.6163, prior_entropy: 0.992, recall: 0.6163, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0472, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.5807, kappa: 0.1652, kb_relative_information_score: 472.8584, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.5895, predictive_accuracy: 0.5799, prior_entropy: 0.992, recall: 0.5799, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0552, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6493, kappa: 0.291, kb_relative_information_score: 690.7123, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6495, predictive_accuracy: 0.6491, prior_entropy: 0.992, recall: 0.6491, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9762, scimark_benchmark: 1253.0071, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6252, kappa: 0.241, kb_relative_information_score: 557.3712, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6248, predictive_accuracy: 0.6257, prior_entropy: 0.992, recall: 0.6257, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9773, scimark_benchmark: 1336.0954, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6638, kappa: 0.3204, kb_relative_information_score: 751.1456, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.664, predictive_accuracy: 0.6637, prior_entropy: 0.992, recall: 0.6637, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6768, kappa: 0.3453, kb_relative_information_score: 868.532, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6765, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 1350.1007, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6083, kappa: 0.2099, kb_relative_information_score: 356.1723, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6095, predictive_accuracy: 0.6076, prior_entropy: 0.992, recall: 0.6076, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9875, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6355, kappa: 0.266, kb_relative_information_score: 521.1856, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6376, predictive_accuracy: 0.6347, prior_entropy: 0.992, recall: 0.6347, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9436, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5471, kappa: 0.181, kb_relative_information_score: 885.1574, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.7372, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.23, scimark_benchmark: 1350.4825, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5471, kappa: 0.181, kb_relative_information_score: 885.1574, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.7372, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.23, scimark_benchmark: 1326.7747, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5471, kappa: 0.181, kb_relative_information_score: 885.1574, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.7372, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.23, scimark_benchmark: 1321.8132, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6584, kappa: 0.3113, kb_relative_information_score: 673.4857, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6598, predictive_accuracy: 0.6577, prior_entropy: 0.992, recall: 0.6577, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9832, scimark_benchmark: 942.9708, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6768, kappa: 0.3453, kb_relative_information_score: 868.532, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6765, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9296, scimark_benchmark: 1322.7257, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.5959, kappa: 0.2025, kb_relative_information_score: 468.7403, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6109, predictive_accuracy: 0.5962, prior_entropy: 0.992, recall: 0.5962, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.055, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6759, kappa: 0.3437, kb_relative_information_score: 537.0476, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6756, predictive_accuracy: 0.6764, prior_entropy: 0.992, recall: 0.6764, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.926, scimark_benchmark: 1329.4762, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6355, kappa: 0.266, kb_relative_information_score: 521.1856, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6376, predictive_accuracy: 0.6347, prior_entropy: 0.992, recall: 0.6347, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9436, scimark_benchmark: 1327.2926, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.5959, kappa: 0.2025, kb_relative_information_score: 468.7403, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6109, predictive_accuracy: 0.5962, prior_entropy: 0.992, recall: 0.5962, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.055, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.601, kappa: 0.2055, kb_relative_information_score: 413.4384, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.61, predictive_accuracy: 0.6003, prior_entropy: 0.992, recall: 0.6003, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0026, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6083, kappa: 0.2099, kb_relative_information_score: 356.1723, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6095, predictive_accuracy: 0.6076, prior_entropy: 0.992, recall: 0.6076, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9875, scimark_benchmark: 1006.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5127, kappa: 0.0422, kb_relative_information_score: 43.8015, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.5278, predictive_accuracy: 0.5138, prior_entropy: 0.992, recall: 0.5138, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6973, root_relative_squared_error: 1.4024, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.6308, kappa: 0.2556, kb_relative_information_score: 823.8925, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6323, predictive_accuracy: 0.6301, prior_entropy: 0.992, recall: 0.6301, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0631, scimark_benchmark: 1337.3264, usercpu_time_millis: 620, usercpu_time_millis_testing: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6355, kappa: 0.266, kb_relative_information_score: 521.1856, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6376, predictive_accuracy: 0.6347, prior_entropy: 0.992, recall: 0.6347, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9436, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.6288, kappa: 0.2527, kb_relative_information_score: 659.1472, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4944, number_of_instances: 3690, precision: 0.6311, predictive_accuracy: 0.6279, prior_entropy: 0.992, recall: 0.6279, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5394, root_relative_squared_error: 1.0849, scimark_benchmark: 1350.073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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