OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 257 Supervised Classification colic 351 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 71.1974, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7872, scimark_benchmark: 1315.933, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.833, kappa: 0.6626, kb_relative_information_score: 64.4679, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8388, predictive_accuracy: 0.8347, prior_entropy: 0.9509, recall: 0.8347, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7484, scimark_benchmark: 1312.0581, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1354.7191, usercpu_time_millis: 3440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7762, kappa: 0.5479, kb_relative_information_score: 64.9142, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7765, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8255, scimark_benchmark: 1151.6869, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7249, kappa: 0.4441, kb_relative_information_score: 55.5089, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7275, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0016, scimark_benchmark: 1318.6149, usercpu_time_millis: 620, usercpu_time_millis_testing: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 48.0922, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8352, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 63.8458, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8151, scimark_benchmark: 1340.1351, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.7212, kappa: 0.4389, kb_relative_information_score: 50.6725, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.733, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0048, scimark_benchmark: 1301.2156, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8155, kappa: 0.6277, kb_relative_information_score: 45.1242, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8246, predictive_accuracy: 0.8182, prior_entropy: 0.9509, recall: 0.8182, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7854, scimark_benchmark: 1347.5461, usercpu_time_millis: 540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 46.018, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7851, scimark_benchmark: 1342.1678, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 950.6776, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7658, kappa: 0.5352, kb_relative_information_score: 69.5718, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8094, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9354, scimark_benchmark: 1327.035, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7608, kappa: 0.5203, kb_relative_information_score: 47.2578, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7639, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.854, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7767, kappa: 0.5493, kb_relative_information_score: 45.7771, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8373, scimark_benchmark: 1368.9272, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 62.7772, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8081, scimark_benchmark: 885.0921, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 48.0922, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8352, scimark_benchmark: 1168.3268, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 64.7974, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8337, scimark_benchmark: 1322.4968, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 1354.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7277, kappa: 0.4525, kb_relative_information_score: 52.4202, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7291, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8695, scimark_benchmark: 1205.8291, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1316.5986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7265, kappa: 0.4475, kb_relative_information_score: 54.269, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7266, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0228, scimark_benchmark: 1322.4968, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 75.7594, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8784, scimark_benchmark: 1298.4923, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 76.199, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8819, scimark_benchmark: 898.1296, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.3812, kappa: -0.0165, kb_relative_information_score: -5.0366, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.2955, predictive_accuracy: 0.5372, prior_entropy: 0.9509, recall: 0.5372, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5001, root_relative_squared_error: 0.9903, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8067, kappa: 0.6102, kb_relative_information_score: 78.408, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8176, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8633, scimark_benchmark: 1249.4068, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.767, kappa: 0.5291, kb_relative_information_score: 53.7125, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7692, predictive_accuracy: 0.7686, prior_entropy: 0.9509, recall: 0.7686, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8634, scimark_benchmark: 1301.2156, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7265, kappa: 0.4475, kb_relative_information_score: 55.0044, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7266, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9184, scimark_benchmark: 1307.4861, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7344, kappa: 0.4634, kb_relative_information_score: 55.1993, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.735, predictive_accuracy: 0.7355, prior_entropy: 0.9509, recall: 0.7355, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8818, scimark_benchmark: 1372.2145, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.751, kappa: 0.497, kb_relative_information_score: 61.7371, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8219, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 57.8076, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8166, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8057, kappa: 0.609, kb_relative_information_score: 64.0608, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8216, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8317, scimark_benchmark: 916.6405, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.773, kappa: 0.5424, kb_relative_information_score: 64.9571, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7828, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8543, scimark_benchmark: 882.7843, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7337, kappa: 0.4618, kb_relative_information_score: 58.5265, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7355, predictive_accuracy: 0.7355, prior_entropy: 0.9509, recall: 0.7355, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0183, scimark_benchmark: 916.5955, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7541, kappa: 0.5157, kb_relative_information_score: 67.3628, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8131, predictive_accuracy: 0.7686, prior_entropy: 0.9509, recall: 0.7686, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9525, scimark_benchmark: 882.7843, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7525, kappa: 0.503, kb_relative_information_score: 62.9446, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7547, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.986, scimark_benchmark: 1287.514, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7767, kappa: 0.5493, kb_relative_information_score: 45.7771, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8373, scimark_benchmark: 944.0517, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7658, kappa: 0.5352, kb_relative_information_score: 69.5718, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8094, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9354, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1355.9413, usercpu_time_millis: 2620, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 1368.9272, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 71.1974, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7872, scimark_benchmark: 825.5282, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 1333.5799, usercpu_time_millis: 440, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7226, kappa: 0.4407, kb_relative_information_score: 51.5505, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7305, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8689, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 60.3458, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8136, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 60.3458, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8136, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 59.6445, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.7975, scimark_benchmark: 1073.494, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7719, kappa: 0.541, kb_relative_information_score: 69.5718, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7862, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9354, scimark_benchmark: 1442.7264, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.3945, kappa: -0.0587, kb_relative_information_score: -1.1179, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.4033, predictive_accuracy: 0.5124, prior_entropy: 0.9509, recall: 0.5124, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.3827, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8483, kappa: 0.6944, kb_relative_information_score: 68.4577, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8634, predictive_accuracy: 0.8512, prior_entropy: 0.9509, recall: 0.8512, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7203, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7608, kappa: 0.5203, kb_relative_information_score: 65.1537, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7639, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9694, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7525, kappa: 0.503, kb_relative_information_score: 62.9446, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7547, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.986, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.385, kb_relative_information_score: 1.0515, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.2975, predictive_accuracy: 0.5455, prior_entropy: 0.9509, recall: 0.5455, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0167, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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