OpenML
Supervised Classification on audiology

Supervised Classification on audiology

Task 1887 Supervised Classification audiology 182 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1343.2125, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1343.4596, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.6949, kappa: 0.6879, kb_relative_information_score: 1148.0469, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6968, predictive_accuracy: 0.7381, prior_entropy: 3.6349, recall: 0.7381, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.7348, scimark_benchmark: 1347.5461, usercpu_time_millis: 560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7261, kappa: 0.6976, kb_relative_information_score: 1415.9402, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7174, predictive_accuracy: 0.7412, prior_entropy: 3.6349, recall: 0.7412, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.6648, scimark_benchmark: 1331.2332, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.1604, kappa: 0.049, kb_relative_information_score: 97.0604, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.5176, predictive_accuracy: 0.2805, prior_entropy: 3.6349, recall: 0.2805, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.9844, scimark_benchmark: 1314.9535, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.6937, kappa: 0.6867, kb_relative_information_score: 1148.7262, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6943, predictive_accuracy: 0.7372, prior_entropy: 3.6349, recall: 0.7372, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.7354, scimark_benchmark: 1337.5749, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.7521, kappa: 0.7376, kb_relative_information_score: 1555.3651, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7392, predictive_accuracy: 0.7752, prior_entropy: 3.6349, recall: 0.7752, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.123, root_relative_squared_error: 0.6499, scimark_benchmark: 1302.224, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.7215, kappa: 0.7125, kb_relative_information_score: 1492.6626, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6958, predictive_accuracy: 0.7584, prior_entropy: 3.6349, recall: 0.7584, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.6581, scimark_benchmark: 912.7324, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7427, kappa: 0.7378, kb_relative_information_score: 1467.0026, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7357, predictive_accuracy: 0.7774, prior_entropy: 3.6349, recall: 0.7774, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.6413, scimark_benchmark: 896.937, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1360.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8052, kappa: 0.7953, kb_relative_information_score: 1618.518, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7889, predictive_accuracy: 0.8252, prior_entropy: 3.6349, recall: 0.8252, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.6375, scimark_benchmark: 934.4732, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.6671, kappa: 0.6687, kb_relative_information_score: 1304.9461, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6394, predictive_accuracy: 0.7239, prior_entropy: 3.6349, recall: 0.7239, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7125, scimark_benchmark: 898.1296, usercpu_time_millis: 78740, usercpu_time_millis_testing: 78730, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.7895, kappa: 0.769, kb_relative_information_score: 1575.2243, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7874, predictive_accuracy: 0.8022, prior_entropy: 3.6349, recall: 0.8022, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.6246, scimark_benchmark: 1328.8457, usercpu_time_millis: 690, usercpu_time_millis_testing: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.7555, kappa: 0.7432, kb_relative_information_score: 1459.399, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7469, predictive_accuracy: 0.7823, prior_entropy: 3.6349, recall: 0.7823, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.6556, scimark_benchmark: 1305.7231, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7221, kappa: 0.7004, kb_relative_information_score: 1437.1964, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7197, predictive_accuracy: 0.746, prior_entropy: 3.6349, recall: 0.746, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.7685, scimark_benchmark: 996.6105, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.5252, kappa: 0.4676, kb_relative_information_score: 349.9669, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6543, predictive_accuracy: 0.5155, prior_entropy: 3.6349, recall: 0.5155, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1926, root_relative_squared_error: 1.0175, scimark_benchmark: 1316.8289, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4111, f_measure: 0.1016, kb_relative_information_score: -0.9309, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1895, root_relative_squared_error: 1.001, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.5942, kappa: 0.5911, kb_relative_information_score: 55.6991, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.637, predictive_accuracy: 0.665, prior_entropy: 3.6349, recall: 0.665, relative_absolute_error: 1.0988, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1991, root_relative_squared_error: 1.052, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 556.318, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9109, scimark_benchmark: 1339.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.6861, kappa: 0.6771, kb_relative_information_score: 1144.4332, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6841, predictive_accuracy: 0.7292, prior_entropy: 3.6349, recall: 0.7292, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.7373, scimark_benchmark: 1275.9462, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8181, kappa: 0.8019, kb_relative_information_score: 1649.2846, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.821, predictive_accuracy: 0.8305, prior_entropy: 3.6349, recall: 0.8305, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.615, scimark_benchmark: 898.1296, usercpu_time_millis: 1100, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8303, kappa: 0.8103, kb_relative_information_score: 1681.7, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.8284, predictive_accuracy: 0.8372, prior_entropy: 3.6349, recall: 0.8372, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.5962, scimark_benchmark: 1354.686, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.7394, kappa: 0.7337, kb_relative_information_score: 1464.534, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7319, predictive_accuracy: 0.7739, prior_entropy: 3.6349, recall: 0.7739, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.6428, scimark_benchmark: 1351.6526, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7304, kappa: 0.7213, kb_relative_information_score: 1458.9933, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7335, predictive_accuracy: 0.7637, prior_entropy: 3.6349, recall: 0.7637, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.6464, scimark_benchmark: 1318.8785, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7229, kappa: 0.7092, kb_relative_information_score: 1443.9562, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7212, predictive_accuracy: 0.7535, prior_entropy: 3.6349, recall: 0.7535, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.6576, scimark_benchmark: 1343.4596, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.308, kappa: 0.2847, kb_relative_information_score: 596.8376, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2885, predictive_accuracy: 0.4469, prior_entropy: 3.6349, recall: 0.4469, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2147, root_relative_squared_error: 1.1341, scimark_benchmark: 1338.6405, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1176.0388, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.5547, kappa: 0.4901, kb_relative_information_score: 1085.5998, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.5472, predictive_accuracy: 0.5664, prior_entropy: 3.6349, recall: 0.5664, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.9467, scimark_benchmark: 1353.3179, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.5547, kappa: 0.4901, kb_relative_information_score: 1085.5998, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.5472, predictive_accuracy: 0.5664, prior_entropy: 3.6349, recall: 0.5664, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.9467, scimark_benchmark: 1360.2771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6716, kappa: 0.674, kb_relative_information_score: 1295.2813, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6424, predictive_accuracy: 0.7279, prior_entropy: 3.6349, recall: 0.7279, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.7195, scimark_benchmark: 1350.9691, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.416, kappa: 0.3952, kb_relative_information_score: 409.6067, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.3695, predictive_accuracy: 0.5168, prior_entropy: 3.6349, recall: 0.5168, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.8922, scimark_benchmark: 1413.089, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.7904, kappa: 0.7666, kb_relative_information_score: 1595.8301, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.8009, predictive_accuracy: 0.7991, prior_entropy: 3.6349, recall: 0.7991, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.6546, scimark_benchmark: 1358.4523, usercpu_time_millis: 9850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.6351, kappa: 0.6012, kb_relative_information_score: 617.4839, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6275, predictive_accuracy: 0.6637, prior_entropy: 3.6349, recall: 0.6637, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.8704, scimark_benchmark: 1329.0992, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 1307.7326,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 2.7754, build_memory: 327793286.7929, f_measure: 0.761, kappa: 0.7519, kb_relative_information_score: 1533.7937, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7409, predictive_accuracy: 0.7885, prior_entropy: 3.6349, recall: 0.7885, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.5936, scimark_benchmark: 760.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, build_cpu_time: 5.2655, build_memory: 1574229299.8407, f_measure: 0.7579, kappa: 0.748, kb_relative_information_score: 1534.266, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7384, predictive_accuracy: 0.785, prior_entropy: 3.6349, recall: 0.785, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.5926, scimark_benchmark: 785.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.524, build_memory: 627868724.5381, f_measure: 0.7972, kappa: 0.7923, kb_relative_information_score: 1647.9004, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7805, predictive_accuracy: 0.8221, prior_entropy: 3.6349, recall: 0.8221, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.5656, scimark_benchmark: 945.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, build_cpu_time: 0.2628, build_memory: 1033594560.3504, f_measure: 0.7918, kappa: 0.7861, kb_relative_information_score: 1646.8279, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7752, predictive_accuracy: 0.8168, prior_entropy: 3.6349, recall: 0.8168, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.5663, scimark_benchmark: 912.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, build_cpu_time: 0.1381, build_memory: 4494195345.4301, f_measure: 0.7957, kappa: 0.7902, kb_relative_information_score: 1643.7082, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7787, predictive_accuracy: 0.8204, prior_entropy: 3.6349, recall: 0.8204, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.5689, scimark_benchmark: 937.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 0.0676, build_memory: 760716902.6584, f_measure: 0.7931, kappa: 0.7876, kb_relative_information_score: 1638.7299, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7768, predictive_accuracy: 0.8181, prior_entropy: 3.6349, recall: 0.8181, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.5741, scimark_benchmark: 946.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.3668, kappa: 0.275, kb_relative_information_score: 80.195, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.5344, predictive_accuracy: 0.4283, prior_entropy: 3.6349, recall: 0.4283, relative_absolute_error: 1.0688, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1951, root_relative_squared_error: 1.0307, scimark_benchmark: 908.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1114.0824,

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