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: 0.9876, f_measure: 0.9443, kappa: 0.8623, kb_relative_information_score: 25534.1199, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.459, scimark_benchmark: 1277.8293, usercpu_time_millis: 147.348, usercpu_time_millis_testing: 7.101, usercpu_time_millis_training: 140.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9426, kappa: 0.8576, kb_relative_information_score: 23722.3248, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4919, scimark_benchmark: 1206.3964, usercpu_time_millis: 1601.41, usercpu_time_millis_testing: 83.907, usercpu_time_millis_training: 1517.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9587, kappa: 0.8981, kb_relative_information_score: 26806.4627, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4123, scimark_benchmark: 1272.782, usercpu_time_millis: 305.623, usercpu_time_millis_testing: 18.381, usercpu_time_millis_training: 287.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9243, kappa: 0.8106, kb_relative_information_score: 24493.2555, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9263, prior_entropy: 0.863, recall: 0.9263, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5054, scimark_benchmark: 1249.6902, usercpu_time_millis: 6116.782, usercpu_time_millis_testing: 70.139, usercpu_time_millis_training: 6046.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9047, kappa: 0.763, kb_relative_information_score: 16906.1733, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9052, predictive_accuracy: 0.9064, prior_entropy: 0.863, recall: 0.9064, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.6393, scimark_benchmark: 1254.0307, usercpu_time_millis: 325.092, usercpu_time_millis_testing: 22.538, usercpu_time_millis_training: 302.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 28686.414, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3675, scimark_benchmark: 1275.1332, usercpu_time_millis: 573.707, usercpu_time_millis_testing: 21.724, usercpu_time_millis_training: 551.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9583, kappa: 0.8972, kb_relative_information_score: 26997.1701, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4141, scimark_benchmark: 1273.9689, usercpu_time_millis: 83.796, usercpu_time_millis_testing: 6.203, usercpu_time_millis_training: 77.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9567, kappa: 0.893, kb_relative_information_score: 26319.1437, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251, scimark_benchmark: 1269.3995, usercpu_time_millis: 1831.283, usercpu_time_millis_testing: 107.525, usercpu_time_millis_training: 1723.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9414, kappa: 0.8547, kb_relative_information_score: 25111.4497, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4716, scimark_benchmark: 1271.8602, usercpu_time_millis: 1799.889, usercpu_time_millis_testing: 84.206, usercpu_time_millis_training: 1715.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9421, kappa: 0.8564, kb_relative_information_score: 23634.942, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.494, scimark_benchmark: 1271.9059, usercpu_time_millis: 661.825, usercpu_time_millis_testing: 32.989, usercpu_time_millis_training: 628.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29402.4673, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607, scimark_benchmark: 1252.7399, usercpu_time_millis: 316.905, usercpu_time_millis_testing: 6.193, usercpu_time_millis_training: 310.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9277, kappa: 0.8186, kb_relative_information_score: 19068.0966, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.584, scimark_benchmark: 1261.542, usercpu_time_millis: 1193.838, usercpu_time_millis_testing: 85.54, usercpu_time_millis_training: 1108.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 28457.6895, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3875, scimark_benchmark: 1269.1795, usercpu_time_millis: 82.14, usercpu_time_millis_testing: 5.588, usercpu_time_millis_training: 76.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9395, kappa: 0.8507, kb_relative_information_score: 25979.2123, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4686, scimark_benchmark: 1266.3698, usercpu_time_millis: 3862.42, usercpu_time_millis_testing: 40.181, usercpu_time_millis_training: 3822.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9259, kappa: 0.8138, kb_relative_information_score: 18814.4472, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5903, scimark_benchmark: 1254.7583, usercpu_time_millis: 865.741, usercpu_time_millis_testing: 69.138, usercpu_time_millis_training: 796.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9546, kappa: 0.8879, kb_relative_information_score: 26643.0868, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4252, scimark_benchmark: 1268.542, usercpu_time_millis: 329.642, usercpu_time_millis_testing: 16.827, usercpu_time_millis_training: 312.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9642, kappa: 0.912, kb_relative_information_score: 28674.1503, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1268.0124, usercpu_time_millis: 729.064, usercpu_time_millis_testing: 33.036, usercpu_time_millis_training: 696.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9385, kappa: 0.8479, kb_relative_information_score: 25944.3205, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4712, scimark_benchmark: 1268.6619, usercpu_time_millis: 3303.857, usercpu_time_millis_testing: 43.864, usercpu_time_millis_training: 3259.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9432, kappa: 0.8594, kb_relative_information_score: 25278.7431, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4649, scimark_benchmark: 1243.9683, usercpu_time_millis: 706.653, usercpu_time_millis_testing: 25.823, usercpu_time_millis_training: 680.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9316, kappa: 0.8299, kb_relative_information_score: 21743.8632, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5358, scimark_benchmark: 1237.9276, usercpu_time_millis: 592.892, usercpu_time_millis_testing: 41.918, usercpu_time_millis_training: 550.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9521, kappa: 0.8814, kb_relative_information_score: 24655.2248, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4591, scimark_benchmark: 1246.8578, usercpu_time_millis: 1870.802, usercpu_time_millis_testing: 121.377, usercpu_time_millis_training: 1749.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9501, kappa: 0.8767, kb_relative_information_score: 26186.668, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4417, scimark_benchmark: 1264.0741, usercpu_time_millis: 1937.384, usercpu_time_millis_testing: 60.05, usercpu_time_millis_training: 1877.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9217, kappa: 0.8029, kb_relative_information_score: 18401.6696, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6003, scimark_benchmark: 1266.6444, usercpu_time_millis: 1233.519, usercpu_time_millis_testing: 93.398, usercpu_time_millis_training: 1140.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9303, kappa: 0.825, kb_relative_information_score: 19244.623, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5794, scimark_benchmark: 1267.8948, usercpu_time_millis: 259.838, usercpu_time_millis_testing: 19.93, usercpu_time_millis_training: 239.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28367.8092, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3948, scimark_benchmark: 1254.7964, usercpu_time_millis: 3012.762, usercpu_time_millis_testing: 63.765, usercpu_time_millis_training: 2948.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9325, kappa: 0.8323, kb_relative_information_score: 25015.1439, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.494, scimark_benchmark: 1248.2674, usercpu_time_millis: 1866.436, usercpu_time_millis_testing: 58.399, usercpu_time_millis_training: 1808.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9323, kappa: 0.8313, kb_relative_information_score: 19511.75, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5786, scimark_benchmark: 1269.7664, usercpu_time_millis: 930.688, usercpu_time_millis_testing: 57.075, usercpu_time_millis_training: 873.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9478, kappa: 0.8707, kb_relative_information_score: 24480.7361, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4709, scimark_benchmark: 1263.4106, usercpu_time_millis: 851.993, usercpu_time_millis_testing: 48.601, usercpu_time_millis_training: 803.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9702, kappa: 0.927, kb_relative_information_score: 29878.4492, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3373, scimark_benchmark: 1271.7679, usercpu_time_millis: 1566.659, usercpu_time_millis_testing: 43.373, usercpu_time_millis_training: 1523.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9581, kappa: 0.8965, kb_relative_information_score: 25888.7337, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4258, scimark_benchmark: 1259.9669, usercpu_time_millis: 162.336, usercpu_time_millis_testing: 9.951, usercpu_time_millis_training: 152.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9516, kappa: 0.8801, kb_relative_information_score: 24517.1961, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4631, scimark_benchmark: 1261.4651, usercpu_time_millis: 895.701, usercpu_time_millis_testing: 47.871, usercpu_time_millis_training: 847.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9539, kappa: 0.8863, kb_relative_information_score: 26496.5201, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1269.1886, usercpu_time_millis: 2323.99, usercpu_time_millis_testing: 104.034, usercpu_time_millis_training: 2219.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.957, kappa: 0.894, kb_relative_information_score: 27310.6579, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4121, scimark_benchmark: 1266.8135, usercpu_time_millis: 1267.069, usercpu_time_millis_testing: 52.75, usercpu_time_millis_training: 1214.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9285, kappa: 0.8204, kb_relative_information_score: 18973.2465, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5857, scimark_benchmark: 1265.2413, usercpu_time_millis: 837.486, usercpu_time_millis_testing: 62.582, usercpu_time_millis_training: 774.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9588, kappa: 0.8983, kb_relative_information_score: 26821.6681, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4115, scimark_benchmark: 1266.5745, usercpu_time_millis: 557.376, usercpu_time_millis_testing: 28.2, usercpu_time_millis_training: 529.176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.929, kappa: 0.8231, kb_relative_information_score: 23259.1622, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9303, predictive_accuracy: 0.9304, prior_entropy: 0.863, recall: 0.9304, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5138, scimark_benchmark: 1269.9985, usercpu_time_millis: 1224.747, usercpu_time_millis_testing: 50.779, usercpu_time_millis_training: 1173.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9482, kappa: 0.8718, kb_relative_information_score: 25723.6776, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.451, scimark_benchmark: 1260.7745, usercpu_time_millis: 1206.305, usercpu_time_millis_testing: 40.348, usercpu_time_millis_training: 1165.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9511, kappa: 0.8796, kb_relative_information_score: 26910.4519, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4373, scimark_benchmark: 1266.9584, usercpu_time_millis: 38.77, usercpu_time_millis_testing: 3.336, usercpu_time_millis_training: 35.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9397, kappa: 0.8509, kb_relative_information_score: 26006.5419, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9402, prior_entropy: 0.863, recall: 0.9402, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4689, scimark_benchmark: 1272.7031, usercpu_time_millis: 4812.142, usercpu_time_millis_testing: 46.945, usercpu_time_millis_training: 4765.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9287, kappa: 0.8221, kb_relative_information_score: 24068.013, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9301, prior_entropy: 0.863, recall: 0.9301, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5044, scimark_benchmark: 1249.1131, usercpu_time_millis: 1058.143, usercpu_time_millis_testing: 20.127, usercpu_time_millis_training: 1038.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9365, kappa: 0.8423, kb_relative_information_score: 23832.3048, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9373, predictive_accuracy: 0.9375, prior_entropy: 0.863, recall: 0.9375, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1267.4526, usercpu_time_millis: 618.85, usercpu_time_millis_testing: 35.337, usercpu_time_millis_training: 583.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 29043.5068, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3712, scimark_benchmark: 1258.1468, usercpu_time_millis: 1479.186, usercpu_time_millis_testing: 25.707, usercpu_time_millis_training: 1453.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9244, kappa: 0.8116, kb_relative_information_score: 19671.3472, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9256, predictive_accuracy: 0.9259, prior_entropy: 0.863, recall: 0.9259, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5805, scimark_benchmark: 1245.6985, usercpu_time_millis: 994.611, usercpu_time_millis_testing: 50.759, usercpu_time_millis_training: 943.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9599, kappa: 0.9011, kb_relative_information_score: 27096.2718, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4039, scimark_benchmark: 1266.6282, usercpu_time_millis: 1165.442, usercpu_time_millis_testing: 60.275, usercpu_time_millis_training: 1105.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9607, kappa: 0.9033, kb_relative_information_score: 27678.8238, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3932, scimark_benchmark: 1267.7791, usercpu_time_millis: 1689.42, usercpu_time_millis_testing: 98.202, usercpu_time_millis_training: 1591.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9385, kappa: 0.8474, kb_relative_information_score: 23876.8845, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.494, scimark_benchmark: 1269.2572, usercpu_time_millis: 521.75, usercpu_time_millis_testing: 25.605, usercpu_time_millis_training: 496.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9555, kappa: 0.8902, kb_relative_information_score: 26555.8196, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4229, scimark_benchmark: 1268.1277, usercpu_time_millis: 2662.058, usercpu_time_millis_testing: 108.447, usercpu_time_millis_training: 2553.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29211.2246, mean_absolute_error: 0.0678, 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: 0.166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536, scimark_benchmark: 1264.8001, usercpu_time_millis: 873.466, usercpu_time_millis_testing: 32.2, usercpu_time_millis_training: 841.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9423, kappa: 0.8571, kb_relative_information_score: 24337.2554, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4811, scimark_benchmark: 1266.7197, usercpu_time_millis: 946.082, usercpu_time_millis_testing: 47.536, usercpu_time_millis_training: 898.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29478.9257, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3556, scimark_benchmark: 1253.1316, usercpu_time_millis: 2799.367, usercpu_time_millis_testing: 40.734, usercpu_time_millis_training: 2758.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9575, kappa: 0.8949, kb_relative_information_score: 25697.4242, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4299, scimark_benchmark: 1261.9935, usercpu_time_millis: 688.448, usercpu_time_millis_testing: 45.226, usercpu_time_millis_training: 643.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9437, kappa: 0.8605, kb_relative_information_score: 25003.9656, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4693, scimark_benchmark: 1269.9048, usercpu_time_millis: 280.665, usercpu_time_millis_testing: 11.256, usercpu_time_millis_training: 269.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9519, kappa: 0.8814, kb_relative_information_score: 26553.3751, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4325, scimark_benchmark: 1262.7846, usercpu_time_millis: 1635.522, usercpu_time_millis_testing: 80.754, usercpu_time_millis_training: 1554.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9544, kappa: 0.8873, kb_relative_information_score: 25825.0299, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1264.3409, usercpu_time_millis: 592.748, usercpu_time_millis_testing: 28.729, usercpu_time_millis_training: 564.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.956, kappa: 0.8913, kb_relative_information_score: 26119.9076, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.43, scimark_benchmark: 1264.824, usercpu_time_millis: 2104.303, usercpu_time_millis_testing: 108.426, usercpu_time_millis_training: 1995.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8746, kappa: 0.6937, kb_relative_information_score: 17818.8507, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8751, predictive_accuracy: 0.8742, prior_entropy: 0.863, recall: 0.8742, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6465, scimark_benchmark: 1269.0203, usercpu_time_millis: 362.725, usercpu_time_millis_testing: 15.87, usercpu_time_millis_training: 346.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9567, kappa: 0.8936, kb_relative_information_score: 27834.2312, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1262.5387, usercpu_time_millis: 3552.073, usercpu_time_millis_testing: 50.315, usercpu_time_millis_training: 3501.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 28864.9869, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1256.1891, usercpu_time_millis: 1136.566, usercpu_time_millis_testing: 33.961, usercpu_time_millis_training: 1102.605,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 28389.975, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1261.1752, usercpu_time_millis: 792.024, usercpu_time_millis_testing: 29.679, usercpu_time_millis_training: 762.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9169, kappa: 0.7912, kb_relative_information_score: 22378.4876, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.539, scimark_benchmark: 1255.5689, usercpu_time_millis: 85.923, usercpu_time_millis_testing: 4.313, usercpu_time_millis_training: 81.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9379, kappa: 0.8459, kb_relative_information_score: 23730.5475, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4975, scimark_benchmark: 1252.1996, usercpu_time_millis: 893.56, usercpu_time_millis_testing: 44.327, usercpu_time_millis_training: 849.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9502, kappa: 0.8778, kb_relative_information_score: 27129.5257, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4374, scimark_benchmark: 1237.7884, usercpu_time_millis: 1382.167, usercpu_time_millis_testing: 11.344, usercpu_time_millis_training: 1370.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9545, kappa: 0.888, kb_relative_information_score: 27003.7642, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224, scimark_benchmark: 1261.4721, usercpu_time_millis: 1375.076, usercpu_time_millis_testing: 54.602, usercpu_time_millis_training: 1320.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9678, kappa: 0.9208, kb_relative_information_score: 29317.1875, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524, scimark_benchmark: 1264.2334, usercpu_time_millis: 542.092, usercpu_time_millis_testing: 19.984, usercpu_time_millis_training: 522.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9636, kappa: 0.9103, kb_relative_information_score: 27760.8835, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1265.3968, usercpu_time_millis: 1056.135, usercpu_time_millis_testing: 61.971, usercpu_time_millis_training: 994.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9311, kappa: 0.8272, kb_relative_information_score: 19386.2484, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5762, scimark_benchmark: 1244.5586, usercpu_time_millis: 895.823, usercpu_time_millis_testing: 54.796, usercpu_time_millis_training: 841.027,

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)

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