Task
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4001 Supervised Classification pc1_req 494 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, build_cpu_time: 0.3313, build_memory: 288003626.4, f_measure: 0.6317, kappa: 0.1528, kb_relative_information_score: 68.558, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6478, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.1517, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, build_cpu_time: 0.1473, build_memory: 34980707.2, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: 61.9671, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.1368, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, build_cpu_time: 0.0104, build_memory: 1286239549.6, f_measure: 0.6364, kappa: 0.1647, kb_relative_information_score: 14.0269, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.658, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9856, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, build_cpu_time: 0.021, build_memory: 454253273.6, f_measure: 0.6388, kappa: 0.1707, kb_relative_information_score: 16.7887, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6633, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9816, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, build_cpu_time: 12.5816, build_memory: 1182047792, f_measure: 0.6474, kappa: 0.1854, kb_relative_information_score: 31.6786, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6546, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0909, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, build_cpu_time: 0.0124, build_memory: 210993931.2, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, build_cpu_time: 0.0105, build_memory: 534597560.8, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, build_cpu_time: 0.0145, build_memory: 1436964508, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, build_cpu_time: 0.011, build_memory: 1869101728, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, build_cpu_time: 0.0106, build_memory: 1292419627.2, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, build_cpu_time: 0.0117, build_memory: 1187379521.6, f_measure: 0.6388, kappa: 0.1707, kb_relative_information_score: 16.3708, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6633, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9828, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, build_cpu_time: 0.0236, build_memory: 858659396.8, f_measure: 0.6388, kappa: 0.1707, kb_relative_information_score: 16.7887, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6633, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9816, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, build_cpu_time: 0.0041, build_memory: 427099768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 17.2734, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9809, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.6176, kappa: 0.1179, kb_relative_information_score: 15.7959, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6215, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.043, scimark_benchmark: 915.2795, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.5532, kappa: 0.0242, kb_relative_information_score: 2.9038, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6131, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9939, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.6483, kappa: 0.1901, kb_relative_information_score: 8.1374, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6675, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9786, scimark_benchmark: 938.2848, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, build_cpu_time: 0.1136, build_memory: 394846661.6, f_measure: 0.6554, kappa: 0.2065, kb_relative_information_score: 23.8378, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6772, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9765, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, scimark_benchmark: 943.2817, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.6312, kappa: 0.1478, kb_relative_information_score: 20.0627, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6336, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0547, scimark_benchmark: 947.0793, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6251, kappa: 0.1473, kb_relative_information_score: 20.9072, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6679, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9655, scimark_benchmark: 943.6956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.6332, kappa: 0.1529, kb_relative_information_score: 22.2812, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6293, predictive_accuracy: 0.6563, prior_entropy: 0.9204, recall: 0.6563, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0715, scimark_benchmark: 943.2745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.6113, kappa: 0.1203, kb_relative_information_score: 79.6533, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.657, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5646, root_relative_squared_error: 1.1967, scimark_benchmark: 939.7623, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.9565, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0138, scimark_benchmark: 915.2795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.6222, kappa: 0.1305, kb_relative_information_score: 21.127, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6332, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.0343, scimark_benchmark: 935.9387, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.6176, kappa: 0.1179, kb_relative_information_score: 15.7959, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6215, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.043, scimark_benchmark: 947.0793, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, build_cpu_time: 0.7197, build_memory: 344031769.6, f_measure: 0.6123, kappa: 0.1192, kb_relative_information_score: 12.0424, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6485, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9918, scimark_benchmark: 833.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, build_cpu_time: 0.0804, build_memory: 146207589.6, f_measure: 0.6313, kappa: 0.1554, kb_relative_information_score: 69.8755, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6586, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5435, root_relative_squared_error: 1.1521, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, build_cpu_time: 0.5667, build_memory: 645079362.4, f_measure: 0.6339, kappa: 0.1548, kb_relative_information_score: 64.7697, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6405, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.1418, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, build_cpu_time: 1.2597, build_memory: 387216927.2, f_measure: 0.6433, kappa: 0.1767, kb_relative_information_score: 71.0177, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6537, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1571, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, build_cpu_time: 11.2838, build_memory: 575980552, f_measure: 0.6411, kappa: 0.1723, kb_relative_information_score: 20.0181, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6534, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9932, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, build_cpu_time: 5.1352, build_memory: 1067919228.8, f_measure: 0.6341, kappa: 0.1561, kb_relative_information_score: 17.5903, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6441, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9986, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, build_cpu_time: 0.1331, build_memory: 1048566049.6, f_measure: 0.6629, kappa: 0.2266, kb_relative_information_score: 24.396, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7012, predictive_accuracy: 0.7094, prior_entropy: 0.9204, recall: 0.7094, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.98, scimark_benchmark: 944.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, build_cpu_time: 0.0579, build_memory: 1349178735.2, f_measure: 0.6629, kappa: 0.2266, kb_relative_information_score: 25.5895, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7012, predictive_accuracy: 0.7094, prior_entropy: 0.9204, recall: 0.7094, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9774, scimark_benchmark: 896.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, build_cpu_time: 0.1393, build_memory: 2579402924.8, f_measure: 0.6414, kappa: 0.171, kb_relative_information_score: 20.9839, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6412, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.1072, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, build_cpu_time: 0.1006, build_memory: 307084386.4, f_measure: 0.5533, kappa: 0.037, kb_relative_information_score: 71.2734, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7816, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1785, scimark_benchmark: 941.9153,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, build_cpu_time: 0.062, build_memory: 1017714747.2, f_measure: 0.6405, kappa: 0.1695, kb_relative_information_score: 19.3298, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.646, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0368, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, build_cpu_time: 0.0163, build_memory: 436458368.8, f_measure: 0.6352, kappa: 0.1567, kb_relative_information_score: 19.4177, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6357, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0469, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, build_cpu_time: 0.0164, build_memory: 828101628.8, f_measure: 0.6352, kappa: 0.1567, kb_relative_information_score: 19.4177, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6357, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0469, scimark_benchmark: 919.2952,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, build_cpu_time: 0.512, build_memory: 838506944.8, f_measure: 0.5533, kappa: 0.037, kb_relative_information_score: 69.6183, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7816, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1559, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, build_cpu_time: 0.1976, build_memory: 729499861.6, f_measure: 0.6406, kappa: 0.1798, kb_relative_information_score: 19.363, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6842, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9778, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, build_cpu_time: 0.331, build_memory: 394262900, f_measure: 0.5447, kappa: 0.0185, kb_relative_information_score: 67.8557, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6681, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.158, scimark_benchmark: 929.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, build_cpu_time: 0.3495, build_memory: 173921452.8, f_measure: 0.5447, kappa: 0.0185, kb_relative_information_score: 67.8557, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6681, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.158, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5706, kappa: 0.0221, kb_relative_information_score: 47.0516, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5715, predictive_accuracy: 0.6406, prior_entropy: 0.9204, recall: 0.6406, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2474, scimark_benchmark: 937.6212, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5463, kappa: 0.0247, kb_relative_information_score: 19.9177, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7802, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.012, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 909.1698, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1278.6629, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1281.7531, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1322.7257, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1307.3269, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 24.1362, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.0377, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6026, kappa: 0.0961, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6286, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6233, kappa: 0.1499, kb_relative_information_score: 18.4005, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6899, predictive_accuracy: 0.6938, prior_entropy: 0.9204, recall: 0.6938, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9759, scimark_benchmark: 876.0664, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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