Task
Supervised Classification on GCM

Supervised Classification on GCM

Task 3941 Supervised Classification GCM 78 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.5453, kappa: 0.5063, kb_relative_information_score: 106.5977, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5811, predictive_accuracy: 0.5474, prior_entropy: 3.7108, recall: 0.5474, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.5455, kappa: 0.4943, kb_relative_information_score: 94.3567, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5812, predictive_accuracy: 0.5368, prior_entropy: 3.7108, recall: 0.5368, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, kappa: 0.126, kb_relative_information_score: 25.419, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1309, number_of_instances: 190, predictive_accuracy: 0.2316, prior_entropy: 3.7108, recall: 0.2316, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.6972, kappa: 0.6654, kb_relative_information_score: 92.8986, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.735, predictive_accuracy: 0.6947, prior_entropy: 3.7108, recall: 0.6947, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.823, kappa: 0.8045, kb_relative_information_score: 151.0395, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.8415, predictive_accuracy: 0.8211, prior_entropy: 3.7108, recall: 0.8211, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7938, kappa: 0.7757, kb_relative_information_score: 132.372, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.8047, predictive_accuracy: 0.7947, prior_entropy: 3.7108, recall: 0.7947, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.4963, kappa: 0.4308, kb_relative_information_score: 119.072, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.633, predictive_accuracy: 0.4737, prior_entropy: 3.7108, recall: 0.4737, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.0431, kb_relative_information_score: 1.695, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.0249, predictive_accuracy: 0.1579, prior_entropy: 3.7108, recall: 0.1579, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2558, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5497, kappa: 0.5216, kb_relative_information_score: 90.9144, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5648, predictive_accuracy: 0.5632, prior_entropy: 3.7108, recall: 0.5632, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.5685, kappa: 0.5186, kb_relative_information_score: 97.8574, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5871, predictive_accuracy: 0.5579, prior_entropy: 3.7108, recall: 0.5579, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.5484, kappa: 0.5011, kb_relative_information_score: 93.3869, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5639, predictive_accuracy: 0.5421, prior_entropy: 3.7108, recall: 0.5421, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9765, scimark_benchmark: 1330.7934, usercpu_time_millis: 1860, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6604, kappa: 0.6254, kb_relative_information_score: 116.6966, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.6801, predictive_accuracy: 0.6579, prior_entropy: 3.7108, recall: 0.6579, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.8645, scimark_benchmark: 1326.014, usercpu_time_millis: 13070, usercpu_time_millis_testing: 12440, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.6731, kappa: 0.637, kb_relative_information_score: 119.1775, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.6959, predictive_accuracy: 0.6684, prior_entropy: 3.7108, recall: 0.6684, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8511, scimark_benchmark: 909.1698, usercpu_time_millis: 10210, usercpu_time_millis_testing: 9360, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.4991, kappa: 0.4699, kb_relative_information_score: 64.8996, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5816, predictive_accuracy: 0.5158, prior_entropy: 3.7108, recall: 0.5158, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.8735, scimark_benchmark: 1342.5243, usercpu_time_millis: 4990, usercpu_time_millis_testing: 3850, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.4011, kappa: 0.3732, kb_relative_information_score: 39.1666, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.4304, predictive_accuracy: 0.4316, prior_entropy: 3.7108, recall: 0.4316, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.9287, scimark_benchmark: 1264.6103, usercpu_time_millis: 88270, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 88200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6672, kappa: 0.6311, kb_relative_information_score: 118.0206, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.691, predictive_accuracy: 0.6632, prior_entropy: 3.7108, recall: 0.6632, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.8578, scimark_benchmark: 1307.7326, usercpu_time_millis: 43460, usercpu_time_millis_testing: 13220, usercpu_time_millis_training: 30240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.5598, kappa: 0.5224, kb_relative_information_score: 102.6702, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5625, predictive_accuracy: 0.5632, prior_entropy: 3.7108, recall: 0.5632, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8083, scimark_benchmark: 1333.1945, usercpu_time_millis: 102980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 102970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.6272, kappa: 0.6018, kb_relative_information_score: 90.267, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.6372, predictive_accuracy: 0.6368, prior_entropy: 3.7108, recall: 0.6368, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.78, scimark_benchmark: 1276.5165, usercpu_time_millis: 33390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 33380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.5621, kappa: 0.5178, kb_relative_information_score: 93.7181, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.6255, predictive_accuracy: 0.5579, prior_entropy: 3.7108, recall: 0.5579, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9479, scimark_benchmark: 926.6704, usercpu_time_millis: 3590, usercpu_time_millis_testing: 3590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.4546, kappa: 0.4369, kb_relative_information_score: 13.0639, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5695, predictive_accuracy: 0.4895, prior_entropy: 3.7108, recall: 0.4895, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.9902, scimark_benchmark: 1321.6263, usercpu_time_millis: 550, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.3415, kappa: 0.2871, kb_relative_information_score: 53.4923, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.346, predictive_accuracy: 0.3474, prior_entropy: 3.7108, recall: 0.3474, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.3053, root_relative_squared_error: 1.194, scimark_benchmark: 912.7324, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.5702, kappa: 0.5497, kb_relative_information_score: 87.6206, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5889, predictive_accuracy: 0.5895, prior_entropy: 3.7108, recall: 0.5895, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.7829, scimark_benchmark: 938.9967, usercpu_time_millis: 24190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 24080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.5117, kappa: 0.4913, kb_relative_information_score: 84.4568, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5437, predictive_accuracy: 0.5368, prior_entropy: 3.7108, recall: 0.5368, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.7952, scimark_benchmark: 1299.5783, usercpu_time_millis: 10540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5317, kappa: 0.4779, kb_relative_information_score: 93.5649, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5591, predictive_accuracy: 0.5211, prior_entropy: 3.7108, recall: 0.5211, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.258, root_relative_squared_error: 1.009, scimark_benchmark: 1290.1085, usercpu_time_millis: 521460, usercpu_time_millis_training: 521460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.5402, kappa: 0.4887, kb_relative_information_score: 95.771, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5622, predictive_accuracy: 0.5316, prior_entropy: 3.7108, recall: 0.5316, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9466, scimark_benchmark: 1034.1273, usercpu_time_millis: 6011200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6011190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.5461, kappa: 0.5315, kb_relative_information_score: 90.8291, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5513, predictive_accuracy: 0.5737, prior_entropy: 3.7108, recall: 0.5737, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.7865, scimark_benchmark: 1315.395, usercpu_time_millis: 16730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 16720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.1242, kappa: 0.1216, kb_relative_information_score: 39.837, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.0887, predictive_accuracy: 0.2211, prior_entropy: 3.7108, recall: 0.2211, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9556, scimark_benchmark: 915.9693, usercpu_time_millis: 900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.1242, kappa: 0.1216, kb_relative_information_score: 39.837, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.0887, predictive_accuracy: 0.2211, prior_entropy: 3.7108, recall: 0.2211, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9556, scimark_benchmark: 939.5088, usercpu_time_millis: 1030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.1242, kappa: 0.1216, kb_relative_information_score: 39.837, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.0887, predictive_accuracy: 0.2211, prior_entropy: 3.7108, recall: 0.2211, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9556, scimark_benchmark: 1304.9611, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.1242, kappa: 0.1216, kb_relative_information_score: 39.837, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.0887, predictive_accuracy: 0.2211, prior_entropy: 3.7108, recall: 0.2211, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9556, scimark_benchmark: 1304.9611, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.1242, kappa: 0.1216, kb_relative_information_score: 39.837, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.0887, predictive_accuracy: 0.2211, prior_entropy: 3.7108, recall: 0.2211, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9556, scimark_benchmark: 1318.1432, usercpu_time_millis: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.5397, kappa: 0.4897, kb_relative_information_score: 102.6045, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5987, predictive_accuracy: 0.5316, prior_entropy: 3.7108, recall: 0.5316, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8051, scimark_benchmark: 1321.9426, usercpu_time_millis: 6690, usercpu_time_millis_testing: 6690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.5432, kappa: 0.4785, kb_relative_information_score: 103.1049, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.6182, predictive_accuracy: 0.5211, prior_entropy: 3.7108, recall: 0.5211, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8293, scimark_benchmark: 1313.9994, usercpu_time_millis: 6280, usercpu_time_millis_testing: 6270, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.3404, kappa: 0.3136, kb_relative_information_score: 27.6895, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5262, predictive_accuracy: 0.3947, prior_entropy: 3.7108, recall: 0.3947, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9763, scimark_benchmark: 942.9708, usercpu_time_millis: 49400, usercpu_time_millis_testing: 46820, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7057, kappa: 0.6723, kb_relative_information_score: 38.9751, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.7471, predictive_accuracy: 0.7, prior_entropy: 3.7108, recall: 0.7, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9553, scimark_benchmark: 1310.3951, usercpu_time_millis: 4960, usercpu_time_millis_testing: 3040, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.7146, kappa: 0.684, kb_relative_information_score: 130.3011, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.7383, predictive_accuracy: 0.7105, prior_entropy: 3.7108, recall: 0.7105, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.7423, scimark_benchmark: 1294.7826, usercpu_time_millis: 142410, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 141800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.785, kappa: 0.7643, kb_relative_information_score: 143.1321, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.7989, predictive_accuracy: 0.7842, prior_entropy: 3.7108, recall: 0.7842, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.6866, scimark_benchmark: 916.5955, usercpu_time_millis: 13580, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 13440,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.6271, kappa: 0.6072, kb_relative_information_score: 81.9324, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.6545, predictive_accuracy: 0.6421, prior_entropy: 3.7108, recall: 0.6421, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.804, scimark_benchmark: 1316.0472, usercpu_time_millis: 2830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2820,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7057, kappa: 0.6723, kb_relative_information_score: 38.9751, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.7471, predictive_accuracy: 0.7, prior_entropy: 3.7108, recall: 0.7, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9553, scimark_benchmark: 934.5243, usercpu_time_millis: 13910, usercpu_time_millis_testing: 4880, usercpu_time_millis_training: 9030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.7638, kappa: 0.7356, kb_relative_information_score: 139.0153, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.7847, predictive_accuracy: 0.7579, prior_entropy: 3.7108, recall: 0.7579, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.183, root_relative_squared_error: 0.7157, scimark_benchmark: 930.32, usercpu_time_millis: 1983800, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1983740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.3404, kappa: 0.3136, kb_relative_information_score: 27.6895, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.5262, predictive_accuracy: 0.3947, prior_entropy: 3.7108, recall: 0.3947, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9763, scimark_benchmark: 904.3001, usercpu_time_millis: 64230, usercpu_time_millis_testing: 60890, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 162.8016, build_memory: 1651859811.2, f_measure: 0.717, kappa: 0.6894, kb_relative_information_score: 114.4033, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.7365, predictive_accuracy: 0.7158, prior_entropy: 3.7108, recall: 0.7158, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.6986, scimark_benchmark: 947.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 136.6716, build_memory: 143431304.8, f_measure: 0.717, kappa: 0.6894, kb_relative_information_score: 114.4033, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.7365, predictive_accuracy: 0.7158, prior_entropy: 3.7108, recall: 0.7158, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.6986, scimark_benchmark: 890.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, build_cpu_time: 68.2458, build_memory: 485325552, f_measure: 0.6584, kappa: 0.632, kb_relative_information_score: 111.9965, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1309, number_of_instances: 190, precision: 0.6654, predictive_accuracy: 0.6632, prior_entropy: 3.7108, recall: 0.6632, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.715, scimark_benchmark: 926.0221,

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