OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9242, kappa: 0.8094, kb_relative_information_score: 18626.9297, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.9268, prior_entropy: 0.863, recall: 0.9268, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5945, scimark_benchmark: 1237.6566, usercpu_time_millis: 1096.547, usercpu_time_millis_testing: 83.744, usercpu_time_millis_training: 1012.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28762.0939, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3795, scimark_benchmark: 1319.5201, usercpu_time_millis: 3344.946, usercpu_time_millis_testing: 59.837, usercpu_time_millis_training: 3285.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 28329.5852, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3871, scimark_benchmark: 1239.377, usercpu_time_millis: 559.125, usercpu_time_millis_testing: 28.904, usercpu_time_millis_training: 530.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1739.9957, usercpu_time_millis: 263.857, usercpu_time_millis_testing: 263.328, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103, scimark_benchmark: 1740.9178, usercpu_time_millis: 269.995, usercpu_time_millis_testing: 269.486, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9536, kappa: 0.8856, kb_relative_information_score: 26842.0161, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, scimark_benchmark: 1257.9207, usercpu_time_millis: 1155.791, usercpu_time_millis_testing: 33.807, usercpu_time_millis_training: 1121.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9286, kappa: 0.8222, kb_relative_information_score: 21973.1102, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9299, prior_entropy: 0.863, recall: 0.9299, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.534, scimark_benchmark: 1233.1084, usercpu_time_millis: 552.607, usercpu_time_millis_testing: 30.939, usercpu_time_millis_training: 521.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9391, kappa: 0.8493, kb_relative_information_score: 25643.3685, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4738, scimark_benchmark: 1249.0162, usercpu_time_millis: 151.831, usercpu_time_millis_testing: 7.411, usercpu_time_millis_training: 144.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1747.2702, usercpu_time_millis: 179.636, usercpu_time_millis_testing: 179.263, usercpu_time_millis_training: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1834.3694, usercpu_time_millis: 244.628, usercpu_time_millis_testing: 244.084, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1842.8383, usercpu_time_millis: 255.385, usercpu_time_millis_testing: 254.852, usercpu_time_millis_training: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8536, kappa: 0.635, kb_relative_information_score: 14605.8133, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8531, predictive_accuracy: 0.8566, prior_entropy: 0.863, recall: 0.8566, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7211, scimark_benchmark: 1262.0619, usercpu_time_millis: 29.871, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 27.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.963, kappa: 0.9089, kb_relative_information_score: 27625.9633, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3892, scimark_benchmark: 1263.7987, usercpu_time_millis: 934.369, usercpu_time_millis_testing: 42.046, usercpu_time_millis_training: 892.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1740.5136, usercpu_time_millis: 291.958, usercpu_time_millis_testing: 291.429, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1743.5839, usercpu_time_millis: 215.992, usercpu_time_millis_testing: 215.623, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1827.7063, usercpu_time_millis: 219.184, usercpu_time_millis_testing: 218.776, usercpu_time_millis_training: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9372, kappa: 0.8436, kb_relative_information_score: 20712.5084, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5531, scimark_benchmark: 1275.8971, usercpu_time_millis: 1186.644, usercpu_time_millis_testing: 69.386, usercpu_time_millis_training: 1117.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9627, kappa: 0.9083, kb_relative_information_score: 28866.8823, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3767, scimark_benchmark: 1291.8746, usercpu_time_millis: 3502.272, usercpu_time_millis_testing: 40.834, usercpu_time_millis_training: 3461.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9428, kappa: 0.8581, kb_relative_information_score: 23110.1532, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.503, scimark_benchmark: 1267.2557, usercpu_time_millis: 886.362, usercpu_time_millis_testing: 56.186, usercpu_time_millis_training: 830.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9571, kappa: 0.8948, kb_relative_information_score: 27890.7836, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4068, scimark_benchmark: 1307.7853, usercpu_time_millis: 528.083, usercpu_time_millis_testing: 12.898, usercpu_time_millis_training: 515.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9399, kappa: 0.8507, kb_relative_information_score: 22207.079, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5225, scimark_benchmark: 1265.6317, usercpu_time_millis: 257.103, usercpu_time_millis_testing: 17.369, usercpu_time_millis_training: 239.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9584, kappa: 0.8972, kb_relative_information_score: 25976.1976, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4231, scimark_benchmark: 1304.2012, usercpu_time_millis: 1102.184, usercpu_time_millis_testing: 53.969, usercpu_time_millis_training: 1048.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.937, kappa: 0.844, kb_relative_information_score: 25272.2861, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9373, predictive_accuracy: 0.9378, prior_entropy: 0.863, recall: 0.9378, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4817, scimark_benchmark: 1255.5628, usercpu_time_millis: 1316.989, usercpu_time_millis_testing: 27.876, usercpu_time_millis_training: 1289.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9554, kappa: 0.8902, kb_relative_information_score: 26883.9255, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.421, scimark_benchmark: 1249.7917, usercpu_time_millis: 439.618, usercpu_time_millis_testing: 15.653, usercpu_time_millis_training: 423.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29218.8636, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1281.4607, usercpu_time_millis: 1473.677, usercpu_time_millis_testing: 49.076, usercpu_time_millis_training: 1424.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9438, kappa: 0.8607, kb_relative_information_score: 24079.0144, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4842, scimark_benchmark: 1256.4997, usercpu_time_millis: 400.946, usercpu_time_millis_testing: 23.235, usercpu_time_millis_training: 377.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9409, kappa: 0.854, kb_relative_information_score: 25882.0791, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4648, scimark_benchmark: 1246.7483, usercpu_time_millis: 1325.49, usercpu_time_millis_testing: 23.088, usercpu_time_millis_training: 1302.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 28997.8931, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3641, scimark_benchmark: 1278.2935, usercpu_time_millis: 2470.847, usercpu_time_millis_testing: 76.147, usercpu_time_millis_training: 2394.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9594, kappa: 0.9, kb_relative_information_score: 27884.2825, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3987, scimark_benchmark: 1283.0516, usercpu_time_millis: 507.429, usercpu_time_millis_testing: 27.807, usercpu_time_millis_training: 479.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.947, kappa: 0.8686, kb_relative_information_score: 23417.2467, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4906, scimark_benchmark: 1301.002, usercpu_time_millis: 1001.959, usercpu_time_millis_testing: 53.151, usercpu_time_millis_training: 948.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9599, kappa: 0.9013, kb_relative_information_score: 28032.0155, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3935, scimark_benchmark: 1282.3012, usercpu_time_millis: 1214.468, usercpu_time_millis_testing: 58.854, usercpu_time_millis_training: 1155.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 28997.5888, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 1302.3486, usercpu_time_millis: 475.58, usercpu_time_millis_testing: 19.95, usercpu_time_millis_training: 455.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8918, kappa: 0.7253, kb_relative_information_score: 15525.0185, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9035, predictive_accuracy: 0.8977, prior_entropy: 0.863, recall: 0.8977, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6656, scimark_benchmark: 1299.1663, usercpu_time_millis: 797.845, usercpu_time_millis_testing: 57.693, usercpu_time_millis_training: 740.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29381.3855, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 1303.0997, usercpu_time_millis: 2023.832, usercpu_time_millis_testing: 35.051, usercpu_time_millis_training: 1988.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9463, kappa: 0.8677, kb_relative_information_score: 26570.4652, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4473, scimark_benchmark: 1252.8238, usercpu_time_millis: 2769.912, usercpu_time_millis_testing: 62.03, usercpu_time_millis_training: 2707.882,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9483, kappa: 0.8723, kb_relative_information_score: 25934.7386, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4484, scimark_benchmark: 1274.0856, usercpu_time_millis: 3327.588, usercpu_time_millis_testing: 90.495, usercpu_time_millis_training: 3237.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9553, kappa: 0.8898, kb_relative_information_score: 27038.8471, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248, scimark_benchmark: 1248.5955, usercpu_time_millis: 44.321, usercpu_time_millis_testing: 3.939, usercpu_time_millis_training: 40.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9434, kappa: 0.8604, kb_relative_information_score: 26149.6654, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4579, scimark_benchmark: 1256.9871, usercpu_time_millis: 524.365, usercpu_time_millis_testing: 14.669, usercpu_time_millis_training: 509.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28565.8048, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, scimark_benchmark: 1257.7335, usercpu_time_millis: 390.97, usercpu_time_millis_testing: 14.892, usercpu_time_millis_training: 376.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9409, kappa: 0.8532, kb_relative_information_score: 21738.5936, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5306, scimark_benchmark: 1257.3261, usercpu_time_millis: 146.263, usercpu_time_millis_testing: 9.485, usercpu_time_millis_training: 136.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.945, kappa: 0.8634, kb_relative_information_score: 23005.2435, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5, scimark_benchmark: 1301.8769, usercpu_time_millis: 1175.44, usercpu_time_millis_testing: 84.509, usercpu_time_millis_training: 1090.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28741.6802, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1276.201, usercpu_time_millis: 1802.015, usercpu_time_millis_testing: 24.321, usercpu_time_millis_training: 1777.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 28559.6869, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3833, scimark_benchmark: 1270.8465, usercpu_time_millis: 5117.428, usercpu_time_millis_testing: 112.621, usercpu_time_millis_training: 5004.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9435, kappa: 0.86, kb_relative_information_score: 24647.1462, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4739, scimark_benchmark: 1248.9304, usercpu_time_millis: 1772.175, usercpu_time_millis_testing: 62.353, usercpu_time_millis_training: 1709.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9203, kappa: 0.7993, kb_relative_information_score: 18343.0827, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6017, scimark_benchmark: 1260.0401, usercpu_time_millis: 358.368, usercpu_time_millis_testing: 31.544, usercpu_time_millis_training: 326.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9504, kappa: 0.878, kb_relative_information_score: 26841.4954, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381, scimark_benchmark: 1264.3185, usercpu_time_millis: 5648.94, usercpu_time_millis_testing: 79.729, usercpu_time_millis_training: 5569.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.953, kappa: 0.884, kb_relative_information_score: 26545.8798, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4302, scimark_benchmark: 1236.0623, usercpu_time_millis: 240.312, usercpu_time_millis_testing: 9.417, usercpu_time_millis_training: 230.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9473, kappa: 0.87, kb_relative_information_score: 26357.6374, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4469, scimark_benchmark: 1263.6753, usercpu_time_millis: 3039.117, usercpu_time_millis_testing: 72.579, usercpu_time_millis_training: 2966.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.924, kb_relative_information_score: 29913.7312, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.342, scimark_benchmark: 1252.8755, usercpu_time_millis: 3054.182, usercpu_time_millis_testing: 43.318, usercpu_time_millis_training: 3010.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9512, kappa: 0.8801, kb_relative_information_score: 26953.8097, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4345, scimark_benchmark: 1243.6864, usercpu_time_millis: 1345.082, usercpu_time_millis_testing: 26.604, usercpu_time_millis_training: 1318.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9594, kappa: 0.9002, kb_relative_information_score: 27866.1341, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3981, scimark_benchmark: 1238.3546, usercpu_time_millis: 1566.942, usercpu_time_millis_testing: 88.708, usercpu_time_millis_training: 1478.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9615, kappa: 0.9053, kb_relative_information_score: 28171.2153, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3874, scimark_benchmark: 1252.7988, usercpu_time_millis: 1617.415, usercpu_time_millis_testing: 49.588, usercpu_time_millis_training: 1567.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9485, kappa: 0.8728, kb_relative_information_score: 26045.2172, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4482, scimark_benchmark: 1257.7682, usercpu_time_millis: 439.164, usercpu_time_millis_testing: 20.305, usercpu_time_millis_training: 418.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9437, kappa: 0.86, kb_relative_information_score: 22518.9871, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121, scimark_benchmark: 1239.9767, usercpu_time_millis: 1671.577, usercpu_time_millis_testing: 90.035, usercpu_time_millis_training: 1581.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29062.7225, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3581, scimark_benchmark: 1257.8221, usercpu_time_millis: 1506.602, usercpu_time_millis_testing: 49.987, usercpu_time_millis_training: 1456.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9632, kappa: 0.9093, kb_relative_information_score: 27687.25, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3871, scimark_benchmark: 1279.4643, usercpu_time_millis: 1562.108, usercpu_time_millis_testing: 67.147, usercpu_time_millis_training: 1494.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9447, kappa: 0.8633, kb_relative_information_score: 25992.1487, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4556, scimark_benchmark: 1269.9969, usercpu_time_millis: 1561.449, usercpu_time_millis_testing: 55.481, usercpu_time_millis_training: 1505.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9469, kappa: 0.8682, kb_relative_information_score: 23465.8333, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4893, scimark_benchmark: 1274.7419, usercpu_time_millis: 197.713, usercpu_time_millis_testing: 11.091, usercpu_time_millis_training: 186.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9506, kappa: 0.8779, kb_relative_information_score: 25842.9581, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4451, scimark_benchmark: 1274.5566, usercpu_time_millis: 1435.399, usercpu_time_millis_testing: 80.634, usercpu_time_millis_training: 1354.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9401, kappa: 0.8517, kb_relative_information_score: 25276.0492, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4718, scimark_benchmark: 1261.9939, usercpu_time_millis: 953.613, usercpu_time_millis_testing: 51.092, usercpu_time_millis_training: 902.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9512, kappa: 0.88, kb_relative_information_score: 27013.4116, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4335, scimark_benchmark: 1267.0194, usercpu_time_millis: 1458.85, usercpu_time_millis_testing: 34.426, usercpu_time_millis_training: 1424.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9408, kappa: 0.8528, kb_relative_information_score: 21605.8987, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5328, scimark_benchmark: 1241.3096, usercpu_time_millis: 942.861, usercpu_time_millis_testing: 59.645, usercpu_time_millis_training: 883.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 27996.5001, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3962, scimark_benchmark: 1241.8459, usercpu_time_millis: 833.247, usercpu_time_millis_testing: 36.879, usercpu_time_millis_training: 796.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29005.2788, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3682, scimark_benchmark: 1267.5344, usercpu_time_millis: 1690.418, usercpu_time_millis_testing: 51.753, usercpu_time_millis_training: 1638.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9564, kappa: 0.893, kb_relative_information_score: 27744.6865, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4115, scimark_benchmark: 1324.1574, usercpu_time_millis: 7343.999, usercpu_time_millis_testing: 90.74, usercpu_time_millis_training: 7253.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9257, kappa: 0.8143, kb_relative_information_score: 18400.178, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.6031, scimark_benchmark: 1256.2068, usercpu_time_millis: 531.595, usercpu_time_millis_testing: 44.894, usercpu_time_millis_training: 486.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9613, kappa: 0.9048, kb_relative_information_score: 28126.2815, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1279.8832, usercpu_time_millis: 3825.039, usercpu_time_millis_testing: 95.013, usercpu_time_millis_training: 3730.026,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs