Task
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4001 Supervised Classification pc1_req 494 runs submitted
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  • mythbusting_1 study_107 study_15 study_20 study_7 under100k under1m
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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: 0.6009, 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: 0.5857, build_cpu_time: 0.2111, build_memory: 832343305.6, f_measure: 0.6532, kappa: 0.2039, kb_relative_information_score: 24.1806, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6844, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9826, scimark_benchmark: 900.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, build_cpu_time: 0.3204, build_memory: 110655523.2, f_measure: 0.6556, kappa: 0.2082, kb_relative_information_score: 24.9345, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6833, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9825, scimark_benchmark: 901.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, build_cpu_time: 0.7984, build_memory: 457746981.6, f_measure: 0.6176, kappa: 0.1302, kb_relative_information_score: 13.4369, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6548, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9907, scimark_benchmark: 939.8124,
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: 0.5476, 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: 0.572, 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: 0.575, 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: 0.5895, build_cpu_time: 20.4695, build_memory: 145313361.6, f_measure: 0.6506, kappa: 0.1945, kb_relative_information_score: 20.6697, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6674, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9929, scimark_benchmark: 944.5683,
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: 0.5998, build_cpu_time: 2.4748, build_memory: 1052896406.4, f_measure: 0.6364, kappa: 0.1619, kb_relative_information_score: 19.5333, mean_absolute_error: 0.4147, 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: 0.9308, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9974, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, build_cpu_time: 1.1744, build_memory: 1821586624, f_measure: 0.6246, kappa: 0.1363, kb_relative_information_score: 21.8265, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6378, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0007, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, build_cpu_time: 0.0039, build_memory: 357005053.6, f_measure: 0.5392, kappa: 0.0124, kb_relative_information_score: 15.29, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7788, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9816, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, build_cpu_time: 0.0029, build_memory: 698243308.8, f_measure: 0.5392, kappa: 0.0124, kb_relative_information_score: 11.2821, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7788, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9837, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, build_cpu_time: 0.3931, build_memory: 55769020, f_measure: 0.6503, kappa: 0.1929, kb_relative_information_score: 49.6096, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6628, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.06, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, build_cpu_time: 0.0078, build_memory: 419287865.6, f_measure: 0.5376, kappa: 0.0062, kb_relative_information_score: 10.7222, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6109, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9826, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, build_cpu_time: 0.2547, build_memory: 881233984, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 25.9847, mean_absolute_error: 0.4045, 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: 0.908, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9794, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, build_cpu_time: 0.0132, build_memory: 1332993659.2, f_measure: 0.5634, kappa: 0.0487, kb_relative_information_score: 11.1292, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6876, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9813, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, build_cpu_time: 0.0248, build_memory: 1456787576.8, f_measure: 0.5651, kappa: 0.0549, kb_relative_information_score: 11.2564, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.728, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9824, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, build_cpu_time: 81.9737, build_memory: 375365813.6, f_measure: 0.6483, kappa: 0.1901, kb_relative_information_score: 30.129, mean_absolute_error: 0.4002, 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: 0.8983, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9833, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, build_cpu_time: 42.7927, build_memory: 215389468.8, f_measure: 0.6527, kappa: 0.1988, kb_relative_information_score: 28.7179, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6673, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9823, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, build_cpu_time: 0.0082, build_memory: 191173488, f_measure: 0.5511, kappa: -0.0372, kb_relative_information_score: 7.8844, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5365, predictive_accuracy: 0.5813, prior_entropy: 0.9204, recall: 0.5813, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.578, root_relative_squared_error: 1.2252, scimark_benchmark: 929.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, build_cpu_time: 0.0174, build_memory: 1252950689.6, f_measure: 0.6494, kappa: 0.1897, kb_relative_information_score: 27.8206, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6551, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.1062, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, build_cpu_time: 0.0181, build_memory: 601236514.4, f_measure: 0.6494, kappa: 0.1897, kb_relative_information_score: 27.8206, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6551, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.1062, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, build_cpu_time: 0.0713, build_memory: 798866734.4, f_measure: 0.5999, kappa: 0.1089, kb_relative_information_score: -13.2323, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6034, predictive_accuracy: 0.5969, prior_entropy: 0.9204, recall: 0.5969, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0236, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, build_cpu_time: 0.1278, build_memory: 1290134681.6, f_measure: 0.6532, kappa: 0.2056, kb_relative_information_score: 23.8794, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6921, predictive_accuracy: 0.7031, prior_entropy: 0.9204, recall: 0.7031, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9705, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, build_cpu_time: 0.016, build_memory: 207120304, f_measure: 0.5361, kappa: -0.0001, kb_relative_information_score: 61.2376, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5545, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1812, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, build_cpu_time: 0.0154, build_memory: 724798888.8, f_measure: 0.5361, kappa: -0.0001, kb_relative_information_score: 61.2376, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5545, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1812, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, build_cpu_time: 0.0076, build_memory: 390256380, f_measure: 0.5345, kappa: -0.0062, kb_relative_information_score: 61.5054, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5259, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1843, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, build_cpu_time: 0.0055, build_memory: 222990259.2, f_measure: 0.5345, kappa: -0.0062, kb_relative_information_score: 61.5054, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5259, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1843, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, build_cpu_time: 0.6831, build_memory: 1146653649.6, f_measure: 0.6484, kappa: 0.1933, kb_relative_information_score: 23.6183, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6797, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9744, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, build_cpu_time: 0.0037, build_memory: 257148028.8, f_measure: 0.5398, kappa: -0.0001, kb_relative_information_score: 64.0346, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5545, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5679, root_relative_squared_error: 1.2037, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, build_cpu_time: 0.7774, build_memory: 1310796086.4, f_measure: 0.6269, kappa: 0.1387, kb_relative_information_score: 18.5931, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6316, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.0274, scimark_benchmark: 940.6012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, build_cpu_time: 0.999, build_memory: 452246597.6, f_measure: 0.6381, kappa: 0.1637, kb_relative_information_score: 16.3461, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6421, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0668, scimark_benchmark: 930.5854,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, build_cpu_time: 1.3214, build_memory: 664939676, f_measure: 0.6215, kappa: 0.1251, kb_relative_information_score: 15.1784, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6194, predictive_accuracy: 0.6531, prior_entropy: 0.9204, recall: 0.6531, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0677, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, build_cpu_time: 3.9722, build_memory: 92224830.4, f_measure: 0.6381, kappa: 0.1637, kb_relative_information_score: 17.8198, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6421, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0609, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 5.2806, build_memory: 981362228, f_measure: 0.6332, kappa: 0.1522, kb_relative_information_score: 15.8874, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6346, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0655, scimark_benchmark: 906.6607,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, build_cpu_time: 31.8503, build_memory: 750680539.2, f_measure: 0.6363, kappa: 0.1606, kb_relative_information_score: 24.1009, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6447, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0744, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, build_cpu_time: 16.7832, build_memory: 735038001.6, f_measure: 0.6317, kappa: 0.1528, kb_relative_information_score: 25.4843, mean_absolute_error: 0.4019, 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: 0.9022, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0491, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, build_cpu_time: 8.4892, build_memory: 836492856, f_measure: 0.6483, kappa: 0.1901, kb_relative_information_score: 24.9212, mean_absolute_error: 0.4025, 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: 0.9035, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0258, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, build_cpu_time: 4.0681, build_memory: 1242213680, f_measure: 0.6243, kappa: 0.1375, kb_relative_information_score: 21.5399, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6423, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0212, scimark_benchmark: 892.8005,

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