OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8594, kappa: 0.7175, kb_relative_information_score: 149.1767, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8652, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7347, scimark_benchmark: 765.566, usercpu_time_millis: 5200, usercpu_time_millis_testing: 5200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 147.6006, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7613, scimark_benchmark: 1346.3935, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.5565, kappa: 0.1228, kb_relative_information_score: 17.2576, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.5657, predictive_accuracy: 0.5577, prior_entropy: 0.9968, recall: 0.5577, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.057, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.5282, kappa: 0.1085, kb_relative_information_score: -0.5243, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.568, predictive_accuracy: 0.5433, prior_entropy: 0.9968, recall: 0.5433, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9995, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7639, kappa: 0.5252, kb_relative_information_score: 109.3558, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7643, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9729, scimark_benchmark: 939.5205, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 130.881, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7542, scimark_benchmark: 1332.576, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 102.7145, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8066, scimark_benchmark: 1311.1837, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7923, kappa: 0.5822, kb_relative_information_score: 78.0349, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7943, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7711, scimark_benchmark: 1182.3687, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 994.8259, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7443, kappa: 0.4857, kb_relative_information_score: 101.0323, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7451, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9899, scimark_benchmark: 1342.7245, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.6752, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.0757, scimark_benchmark: 1343.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7645, kappa: 0.527, kb_relative_information_score: 75.9177, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7646, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7913, scimark_benchmark: 1413.089, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8408, kappa: 0.6798, kb_relative_information_score: 138.8369, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8422, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7343, scimark_benchmark: 1345.7589, usercpu_time_millis: 3670, usercpu_time_millis_training: 3670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.9713, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0971, scimark_benchmark: 1348.8402, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.6575, kappa: 0.3111, kb_relative_information_score: 43.8502, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6578, predictive_accuracy: 0.6587, prior_entropy: 0.9968, recall: 0.6587, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9726, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.715, kappa: 0.4268, kb_relative_information_score: 65.5521, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7163, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8693, scimark_benchmark: 1264.6103, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 93.2193, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7769, scimark_benchmark: 1326.6647, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 76.3358, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.058, scimark_benchmark: 1356.2994, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 918.6005, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7832, kappa: 0.5639, kb_relative_information_score: 111.6066, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7836, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8348, scimark_benchmark: 1323.237, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7629, kappa: 0.5233, kb_relative_information_score: 72.991, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7657, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7913, scimark_benchmark: 1349.7981, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8016, kappa: 0.6011, kb_relative_information_score: 116.5327, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8049, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7785, scimark_benchmark: 906.4475, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7259, kappa: 0.4491, kb_relative_information_score: 82.9745, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7258, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8654, scimark_benchmark: 906.4475, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.7856, kappa: 0.57, kb_relative_information_score: 79.3761, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.795, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7601, scimark_benchmark: 1372.5518, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 1349.1773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 918.6005, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7449, kappa: 0.4871, kb_relative_information_score: 89.5347, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7449, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9098, scimark_benchmark: 876.0664, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7501, kappa: 0.4984, kb_relative_information_score: 101.139, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9666, scimark_benchmark: 939.9176, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8121, kappa: 0.6221, kb_relative_information_score: 131.942, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8126, predictive_accuracy: 0.8125, prior_entropy: 0.9968, recall: 0.8125, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7718, scimark_benchmark: 915.6729, usercpu_time_millis: 760, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 127.7947, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7829, scimark_benchmark: 1280.6952, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 125.2477, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7627, scimark_benchmark: 1304.9611, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 106.522, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.817, scimark_benchmark: 939.5088, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7776, kappa: 0.5528, kb_relative_information_score: 96.2464, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.78, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8256, scimark_benchmark: 915.9324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8306, kappa: 0.6595, kb_relative_information_score: 117.7252, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8343, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7086, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.6627, kappa: 0.3672, kb_relative_information_score: 81.1754, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.784, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1032, scimark_benchmark: 938.343, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.6781, kappa: 0.3574, kb_relative_information_score: 78.2148, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6822, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.1009, scimark_benchmark: 910.8389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 97.2554, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8474, scimark_benchmark: 934.5243, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8223, kappa: 0.6433, kb_relative_information_score: 96.9473, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8227, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7223, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7256, kappa: 0.4484, kb_relative_information_score: 82.862, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7256, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8545, scimark_benchmark: 929.0255, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 918.4924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8206, kappa: 0.6396, kb_relative_information_score: 92.5496, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8258, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7082, scimark_benchmark: 929.566, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8506, kappa: 0.6996, kb_relative_information_score: 145.443, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8513, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7582, scimark_benchmark: 940.2751, usercpu_time_millis: 870, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 136.5494, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8059, scimark_benchmark: 876.8277, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 141.5919, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8455, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7959, scimark_benchmark: 889.3853, usercpu_time_millis: 3770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.7926, kappa: 0.5828, kb_relative_information_score: 128.3763, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7937, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8214, scimark_benchmark: 918.4924, usercpu_time_millis: 1100, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.7776, kappa: 0.5528, kb_relative_information_score: 115.6493, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.78, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8858, scimark_benchmark: 948.1045, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7021, kappa: 0.4058, kb_relative_information_score: 71.9729, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7069, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9426, scimark_benchmark: 939.1281, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.825, kappa: 0.6486, kb_relative_information_score: 135.0764, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8332, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.778, scimark_benchmark: 917.7039, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7288, kappa: 0.4548, kb_relative_information_score: 102.2741, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8622, scimark_benchmark: 915.2795, usercpu_time_millis: 520, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.6627, kappa: 0.3672, kb_relative_information_score: 81.1754, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.784, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1032, scimark_benchmark: 799.2185, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 947.6789, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, build_cpu_time: 0.7359, build_memory: 896567651.1538, f_measure: 0.7641, kappa: 0.5258, kb_relative_information_score: 109.016, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7642, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9149, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, build_cpu_time: 0.6064, build_memory: 1134028358.1154, f_measure: 0.7688, kappa: 0.5352, kb_relative_information_score: 112.4649, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.769, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8928, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, build_cpu_time: 0.4872, build_memory: 737071598.7692, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 114.353, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.869, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.2338, build_memory: 710676723.5769, f_measure: 0.7776, kappa: 0.5528, kb_relative_information_score: 113.5771, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.78, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8683, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, build_cpu_time: 0.1542, build_memory: 868448213.2692, f_measure: 0.7686, kappa: 0.5345, kb_relative_information_score: 110.5156, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8652, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, build_cpu_time: 0.0792, build_memory: 850194657.1538, f_measure: 0.7885, kappa: 0.575, kb_relative_information_score: 119.3129, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7885, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8239, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, build_cpu_time: 0.1645, build_memory: 313985254.7692, f_measure: 0.7686, kappa: 0.5345, kb_relative_information_score: 116.944, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8752, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, build_cpu_time: 0.3091, build_memory: 710136521.4615, f_measure: 0.8168, kappa: 0.6315, kb_relative_information_score: 131.3223, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8177, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8189, scimark_benchmark: 940.5101,

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