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Supervised Classification on fri_c2_100_10

Supervised Classification on fri_c2_100_10

Task 4333 Supervised Classification fri_c2_100_10 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.7136, kappa: 0.4233, kb_relative_information_score: 336.0484, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7152, predictive_accuracy: 0.713, prior_entropy: 0.9931, recall: 0.713, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9128, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7811, kappa: 0.5578, kb_relative_information_score: 440.3621, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7811, predictive_accuracy: 0.781, prior_entropy: 0.9931, recall: 0.781, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7966, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7373, kappa: 0.4701, kb_relative_information_score: 427.677, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7378, predictive_accuracy: 0.737, prior_entropy: 0.9931, recall: 0.737, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9296, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7611, kappa: 0.5163, kb_relative_information_score: 385.5584, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.762, prior_entropy: 0.9931, recall: 0.762, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.807, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7204, kappa: 0.4338, kb_relative_information_score: 316.7837, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7212, predictive_accuracy: 0.722, prior_entropy: 0.9931, recall: 0.722, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8768, scimark_benchmark: 926.576, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7227, kappa: 0.444, kb_relative_information_score: 370.4194, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.727, predictive_accuracy: 0.722, prior_entropy: 0.9931, recall: 0.722, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9102, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7681, kappa: 0.5319, kb_relative_information_score: 478.0056, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7683, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8383, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7849, kappa: 0.5652, kb_relative_information_score: 421.9976, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7848, predictive_accuracy: 0.785, prior_entropy: 0.9931, recall: 0.785, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7519, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.7136, kappa: 0.4233, kb_relative_information_score: 336.0484, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7152, predictive_accuracy: 0.713, prior_entropy: 0.9931, recall: 0.713, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9128, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7811, kappa: 0.5578, kb_relative_information_score: 440.3621, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7811, predictive_accuracy: 0.781, prior_entropy: 0.9931, recall: 0.781, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7966, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7373, kappa: 0.4701, kb_relative_information_score: 427.677, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7378, predictive_accuracy: 0.737, prior_entropy: 0.9931, recall: 0.737, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9296, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7611, kappa: 0.5163, kb_relative_information_score: 385.5584, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.762, prior_entropy: 0.9931, recall: 0.762, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.807, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7227, kappa: 0.444, kb_relative_information_score: 370.4194, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.727, predictive_accuracy: 0.722, prior_entropy: 0.9931, recall: 0.722, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9102, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7849, kappa: 0.5652, kb_relative_information_score: 421.9976, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7848, predictive_accuracy: 0.785, prior_entropy: 0.9931, recall: 0.785, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7519, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7559, kappa: 0.5058, kb_relative_information_score: 353.4053, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7565, predictive_accuracy: 0.757, prior_entropy: 0.9931, recall: 0.757, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7948, scimark_benchmark: 943.6618, usercpu_time_millis: 770, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7734, kappa: 0.5414, kb_relative_information_score: 355.3237, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7735, predictive_accuracy: 0.774, prior_entropy: 0.9931, recall: 0.774, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7954, scimark_benchmark: 933.3455, usercpu_time_millis: 250, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.773, kappa: 0.5403, kb_relative_information_score: 358.7309, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7737, predictive_accuracy: 0.774, prior_entropy: 0.9931, recall: 0.774, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7949, scimark_benchmark: 929.7512, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7733, kappa: 0.5412, kb_relative_information_score: 355.5005, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7735, predictive_accuracy: 0.774, prior_entropy: 0.9931, recall: 0.774, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8058, scimark_benchmark: 921.2615, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7679, kappa: 0.5307, kb_relative_information_score: 350.0101, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8197, scimark_benchmark: 939.7883, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7733, kappa: 0.5412, kb_relative_information_score: 508.9706, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7735, predictive_accuracy: 0.774, prior_entropy: 0.9931, recall: 0.774, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8445, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7733, kappa: 0.5412, kb_relative_information_score: 508.9706, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7735, predictive_accuracy: 0.774, prior_entropy: 0.9931, recall: 0.774, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8445, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7713, kappa: 0.5372, kb_relative_information_score: 506.7501, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7715, predictive_accuracy: 0.772, prior_entropy: 0.9931, recall: 0.772, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8451, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7701, kappa: 0.5346, kb_relative_information_score: 498.0595, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7706, predictive_accuracy: 0.771, prior_entropy: 0.9931, recall: 0.771, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8372, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7296, kappa: 0.4525, kb_relative_information_score: 411.2812, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7303, predictive_accuracy: 0.731, prior_entropy: 0.9931, recall: 0.731, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8916, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -1.7743, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.7938, kappa: 0.583, kb_relative_information_score: 575.3018, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7937, predictive_accuracy: 0.794, prior_entropy: 0.9931, recall: 0.794, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8722, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7805, kappa: 0.5559, kb_relative_information_score: 550.2747, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7806, predictive_accuracy: 0.781, prior_entropy: 0.9931, recall: 0.781, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8887, 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: 0.7875, f_measure: 0.7204, kappa: 0.4338, kb_relative_information_score: 316.7837, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7212, predictive_accuracy: 0.722, prior_entropy: 0.9931, recall: 0.722, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8768, scimark_benchmark: 1351.3088, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7611, kappa: 0.5163, kb_relative_information_score: 385.5584, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.762, prior_entropy: 0.9931, recall: 0.762, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.807, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7849, kappa: 0.5652, kb_relative_information_score: 421.9976, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7848, predictive_accuracy: 0.785, prior_entropy: 0.9931, recall: 0.785, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7519, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7681, kappa: 0.5319, kb_relative_information_score: 478.0056, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7683, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8383, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 1326.2019,

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