OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.965, kappa: 0.8511, kb_relative_information_score: 2447.0739, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4974, scimark_benchmark: 1299.7339, usercpu_time_millis: 615.82, usercpu_time_millis_testing: 14.573, usercpu_time_millis_training: 601.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9603, kappa: 0.8305, kb_relative_information_score: 2320.7352, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9607, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5206, scimark_benchmark: 1311.7689, usercpu_time_millis: 537.509, usercpu_time_millis_testing: 12.518, usercpu_time_millis_training: 524.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9642, kappa: 0.8475, kb_relative_information_score: 2547.1872, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9645, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4689, scimark_benchmark: 1298.7181, usercpu_time_millis: 692.539, usercpu_time_millis_testing: 14.888, usercpu_time_millis_training: 677.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9419, kappa: 0.7438, kb_relative_information_score: 2025.9961, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9456, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6219, scimark_benchmark: 1274.2382, usercpu_time_millis: 1303.344, usercpu_time_millis_testing: 25.827, usercpu_time_millis_training: 1277.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9647, kappa: 0.8499, kb_relative_information_score: 2440.8771, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9648, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4987, scimark_benchmark: 1278.543, usercpu_time_millis: 652.348, usercpu_time_millis_testing: 14.947, usercpu_time_millis_training: 637.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9483, kappa: 0.7743, kb_relative_information_score: 2154.3668, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9504, predictive_accuracy: 0.9512, prior_entropy: 0.5848, recall: 0.9512, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.204, root_relative_squared_error: 0.5879, scimark_benchmark: 1283.9775, usercpu_time_millis: 1210.637, usercpu_time_millis_testing: 22.582, usercpu_time_millis_training: 1188.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 475.84, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8659, scimark_benchmark: 1305.0872, usercpu_time_millis: 3522.949, usercpu_time_millis_testing: 59.42, usercpu_time_millis_training: 3463.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 320.1132, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8664, scimark_benchmark: 1289.0984, usercpu_time_millis: 3495.837, usercpu_time_millis_testing: 62.477, usercpu_time_millis_training: 3433.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9544, kappa: 0.8029, kb_relative_information_score: 2253.9908, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9555, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5337, scimark_benchmark: 1290.5811, usercpu_time_millis: 905.904, usercpu_time_millis_testing: 12.897, usercpu_time_millis_training: 893.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.2717, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1307.2143, usercpu_time_millis: 644.433, usercpu_time_millis_testing: 12.994, usercpu_time_millis_training: 631.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9424, kappa: 0.7451, kb_relative_information_score: 1999.8723, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9468, predictive_accuracy: 0.9466, prior_entropy: 0.5848, recall: 0.9466, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.6277, scimark_benchmark: 1306.9008, usercpu_time_millis: 1489.053, usercpu_time_millis_testing: 29.008, usercpu_time_millis_training: 1460.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9558, kappa: 0.8091, kb_relative_information_score: 2262.3469, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9567, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.5319, scimark_benchmark: 1275.8656, usercpu_time_millis: 544.415, usercpu_time_millis_testing: 12.755, usercpu_time_millis_training: 531.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8634, kappa: 0.3516, kb_relative_information_score: 369.038, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8936, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.8562, scimark_benchmark: 1305.7566, usercpu_time_millis: 3469.512, usercpu_time_millis_testing: 57.845, usercpu_time_millis_training: 3411.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9519, kappa: 0.7891, kb_relative_information_score: 2244.156, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5631, scimark_benchmark: 1276.2347, usercpu_time_millis: 1369.411, usercpu_time_millis_testing: 25.908, usercpu_time_millis_training: 1343.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9496, kappa: 0.7799, kb_relative_information_score: 2185.286, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9518, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5823, scimark_benchmark: 1272.963, usercpu_time_millis: 1346.463, usercpu_time_millis_testing: 25.396, usercpu_time_millis_training: 1321.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9346, kappa: 0.7053, kb_relative_information_score: 1891.1357, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9441, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.6448, scimark_benchmark: 1283.9108, usercpu_time_millis: 1476.874, usercpu_time_millis_testing: 30.132, usercpu_time_millis_training: 1446.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9609, kappa: 0.8339, kb_relative_information_score: 2438.3538, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5089, scimark_benchmark: 1297.9369, usercpu_time_millis: 1009.523, usercpu_time_millis_testing: 18.528, usercpu_time_millis_training: 990.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2230.3622, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5355, scimark_benchmark: 1264.4432, usercpu_time_millis: 694.601, usercpu_time_millis_testing: 12.678, usercpu_time_millis_training: 681.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.981, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5349, scimark_benchmark: 1309.8318, usercpu_time_millis: 668.394, usercpu_time_millis_testing: 13.172, usercpu_time_millis_training: 655.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9481, kappa: 0.7729, kb_relative_information_score: 2181.3825, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9507, predictive_accuracy: 0.9512, prior_entropy: 0.5848, recall: 0.9512, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5815, scimark_benchmark: 1282.5161, usercpu_time_millis: 1287.363, usercpu_time_millis_testing: 24.721, usercpu_time_millis_training: 1262.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 298.754, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.86, scimark_benchmark: 1273.9044, usercpu_time_millis: 3519.781, usercpu_time_millis_testing: 59.582, usercpu_time_millis_training: 3460.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.959, kappa: 0.8236, kb_relative_information_score: 2298.2722, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.524, scimark_benchmark: 1269.5932, usercpu_time_millis: 529.851, usercpu_time_millis_testing: 13.4, usercpu_time_millis_training: 516.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 382.5096, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.8598, scimark_benchmark: 1276.0114, usercpu_time_millis: 3585.407, usercpu_time_millis_testing: 58.505, usercpu_time_millis_training: 3526.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.916, kappa: 0.6147, kb_relative_information_score: 1523.3337, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.932, predictive_accuracy: 0.9271, prior_entropy: 0.5848, recall: 0.9271, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7194, scimark_benchmark: 1296.3867, usercpu_time_millis: 1352.553, usercpu_time_millis_testing: 27.106, usercpu_time_millis_training: 1325.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8676, kappa: 0.3746, kb_relative_information_score: 658.0261, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8917, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.8544, scimark_benchmark: 1300.5721, usercpu_time_millis: 3376.196, usercpu_time_millis_testing: 53.485, usercpu_time_millis_training: 3322.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9557, kappa: 0.8073, kb_relative_information_score: 2266.6672, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9576, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.5587, scimark_benchmark: 1308.8156, usercpu_time_millis: 1237.322, usercpu_time_millis_testing: 24.391, usercpu_time_millis_training: 1212.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9623, kappa: 0.8372, kb_relative_information_score: 2383.2022, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5223, scimark_benchmark: 1300.6424, usercpu_time_millis: 1186.26, usercpu_time_millis_testing: 22.018, usercpu_time_millis_training: 1164.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9636, kappa: 0.8449, kb_relative_information_score: 2481.7362, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9639, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.4962, scimark_benchmark: 1269.1599, usercpu_time_millis: 1141.011, usercpu_time_millis_testing: 23.754, usercpu_time_millis_training: 1117.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9663, kappa: 0.8549, kb_relative_information_score: 2541.2828, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4784, scimark_benchmark: 1292.192, usercpu_time_millis: 1311.03, usercpu_time_millis_testing: 24.289, usercpu_time_millis_training: 1286.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9555, kappa: 0.8072, kb_relative_information_score: 2247.1539, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.957, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.5603, scimark_benchmark: 1280.9783, usercpu_time_millis: 1275.807, usercpu_time_millis_testing: 23.596, usercpu_time_millis_training: 1252.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9554, kappa: 0.8061, kb_relative_information_score: 2262.1771, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9572, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.5569, scimark_benchmark: 1265.5591, usercpu_time_millis: 1257.937, usercpu_time_millis_testing: 24.674, usercpu_time_millis_training: 1233.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9177, kappa: 0.6279, kb_relative_information_score: 1558.5737, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9258, predictive_accuracy: 0.9265, prior_entropy: 0.5848, recall: 0.9265, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.6809, scimark_benchmark: 1259.5633, usercpu_time_millis: 3175.602, usercpu_time_millis_testing: 47.098, usercpu_time_millis_training: 3128.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9665, kappa: 0.8576, kb_relative_information_score: 2560.0924, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.4677, scimark_benchmark: 1298.348, usercpu_time_millis: 682.918, usercpu_time_millis_testing: 13.977, usercpu_time_millis_training: 668.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9502, kappa: 0.7827, kb_relative_information_score: 2179.7871, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9525, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5822, scimark_benchmark: 1307.1207, usercpu_time_millis: 1273.638, usercpu_time_millis_testing: 26.965, usercpu_time_millis_training: 1246.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9587, kappa: 0.8207, kb_relative_information_score: 2380.8231, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5272, scimark_benchmark: 1298.8821, usercpu_time_millis: 1215.806, usercpu_time_millis_testing: 24.242, usercpu_time_millis_training: 1191.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.959, kappa: 0.8232, kb_relative_information_score: 2378.1164, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.5291, scimark_benchmark: 1293.884, usercpu_time_millis: 1163.722, usercpu_time_millis_testing: 23.718, usercpu_time_millis_training: 1140.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.877, kappa: 0.4225, kb_relative_information_score: 759.2443, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8983, predictive_accuracy: 0.8988, prior_entropy: 0.5848, recall: 0.8988, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.8136, scimark_benchmark: 1299.398, usercpu_time_millis: 3463.949, usercpu_time_millis_testing: 55.446, usercpu_time_millis_training: 3408.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2236.1762, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5351, scimark_benchmark: 1268.1758, usercpu_time_millis: 689.875, usercpu_time_millis_testing: 11.541, usercpu_time_millis_training: 678.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 420.5423, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8611, scimark_benchmark: 1270.5263, usercpu_time_millis: 3559.851, usercpu_time_millis_testing: 61.37, usercpu_time_millis_training: 3498.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9658, kappa: 0.8541, kb_relative_information_score: 2510.0105, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9662, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4794, scimark_benchmark: 1260.8481, usercpu_time_millis: 583.409, usercpu_time_millis_testing: 13.672, usercpu_time_millis_training: 569.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9577, kappa: 0.8158, kb_relative_information_score: 2350.3531, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.5197, scimark_benchmark: 1265.675, usercpu_time_millis: 1775.32, usercpu_time_millis_testing: 31.126, usercpu_time_millis_training: 1744.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9547, kappa: 0.8044, kb_relative_information_score: 2269.5524, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.5316, scimark_benchmark: 1305.8902, usercpu_time_millis: 527.488, usercpu_time_millis_testing: 12.179, usercpu_time_millis_training: 515.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9544, kappa: 0.8029, kb_relative_information_score: 2253.0701, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9555, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.5336, scimark_benchmark: 1285.9244, usercpu_time_millis: 834.594, usercpu_time_millis_testing: 11.495, usercpu_time_millis_training: 823.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 418.6786, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.8608, scimark_benchmark: 1277.1926, usercpu_time_millis: 3631.767, usercpu_time_millis_testing: 61.467, usercpu_time_millis_training: 3570.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 462.0468, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.8654, scimark_benchmark: 1293.5929, usercpu_time_millis: 3565.068, usercpu_time_millis_testing: 58.907, usercpu_time_millis_training: 3506.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9483, kappa: 0.7743, kb_relative_information_score: 2157.3332, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9504, predictive_accuracy: 0.9512, prior_entropy: 0.5848, recall: 0.9512, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.5874, scimark_benchmark: 1271.7094, usercpu_time_millis: 1264.331, usercpu_time_millis_testing: 25.837, usercpu_time_millis_training: 1238.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9656, kappa: 0.8535, kb_relative_information_score: 2553.6639, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9658, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4685, scimark_benchmark: 1301.7651, usercpu_time_millis: 636.366, usercpu_time_millis_testing: 13.828, usercpu_time_millis_training: 622.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.8623, kappa: 0.3439, kb_relative_information_score: 359.008, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8988, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8617, scimark_benchmark: 1293.1348, usercpu_time_millis: 3322.974, usercpu_time_millis_testing: 55.168, usercpu_time_millis_training: 3267.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9314, kappa: 0.6896, kb_relative_information_score: 1765.1739, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9422, predictive_accuracy: 0.9387, prior_entropy: 0.5848, recall: 0.9387, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6679, scimark_benchmark: 1273.5367, usercpu_time_millis: 1428.664, usercpu_time_millis_testing: 28.004, usercpu_time_millis_training: 1400.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.959, kappa: 0.8236, kb_relative_information_score: 2302.0011, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.5233, scimark_benchmark: 1296.9146, usercpu_time_millis: 500.785, usercpu_time_millis_testing: 11.25, usercpu_time_millis_training: 489.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9664, kappa: 0.8557, kb_relative_information_score: 2526.9319, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9675, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.48, scimark_benchmark: 1300.0844, usercpu_time_millis: 1176.922, usercpu_time_millis_testing: 23.09, usercpu_time_millis_training: 1153.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9317, kappa: 0.6979, kb_relative_information_score: 1922.5398, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9351, predictive_accuracy: 0.9369, prior_entropy: 0.5848, recall: 0.9369, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6295, scimark_benchmark: 1253.8709, usercpu_time_millis: 3197.485, usercpu_time_millis_testing: 44.28, usercpu_time_millis_training: 3153.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9624, kappa: 0.8395, kb_relative_information_score: 2371.3397, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5145, scimark_benchmark: 1301.1684, usercpu_time_millis: 574.809, usercpu_time_millis_testing: 13.637, usercpu_time_millis_training: 561.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8683, kappa: 0.3788, kb_relative_information_score: 692.9254, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8915, predictive_accuracy: 0.8933, prior_entropy: 0.5848, recall: 0.8933, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8456, scimark_benchmark: 1293.4489, usercpu_time_millis: 3444.751, usercpu_time_millis_testing: 51.477, usercpu_time_millis_training: 3393.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9532, kappa: 0.7952, kb_relative_information_score: 2256.9675, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5592, scimark_benchmark: 1268.4872, usercpu_time_millis: 1524.415, usercpu_time_millis_testing: 28.557, usercpu_time_millis_training: 1495.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9522, kappa: 0.7898, kb_relative_information_score: 2230.0501, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9565, predictive_accuracy: 0.9555, prior_entropy: 0.5848, recall: 0.9555, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5521, scimark_benchmark: 1266.1931, usercpu_time_millis: 1522.331, usercpu_time_millis_testing: 30.686, usercpu_time_millis_training: 1491.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8663, kappa: 0.3684, kb_relative_information_score: 672.6894, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.89, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8637, scimark_benchmark: 1275.3588, usercpu_time_millis: 3744.232, usercpu_time_millis_testing: 53.712, usercpu_time_millis_training: 3690.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.8623, kappa: 0.3447, kb_relative_information_score: 396.0528, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8967, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.861, scimark_benchmark: 1265.4466, usercpu_time_millis: 3674.638, usercpu_time_millis_testing: 58.632, usercpu_time_millis_training: 3616.006,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9582, kappa: 0.8204, kb_relative_information_score: 2370.1654, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9589, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.5317, scimark_benchmark: 1279.0256, usercpu_time_millis: 1306.038, usercpu_time_millis_testing: 25.643, usercpu_time_millis_training: 1280.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8634, kappa: 0.3508, kb_relative_information_score: 433.0888, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8954, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8591, scimark_benchmark: 1267.997, usercpu_time_millis: 3734.272, usercpu_time_millis_testing: 60.98, usercpu_time_millis_training: 3673.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9624, kappa: 0.8395, kb_relative_information_score: 2474.9605, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4981, scimark_benchmark: 1298.4487, usercpu_time_millis: 1173.98, usercpu_time_millis_testing: 22.726, usercpu_time_millis_training: 1151.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8721, kappa: 0.3981, kb_relative_information_score: 727.241, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8936, predictive_accuracy: 0.8954, prior_entropy: 0.5848, recall: 0.8954, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.835, scimark_benchmark: 1289.9994, usercpu_time_millis: 3371.545, usercpu_time_millis_testing: 52.784, usercpu_time_millis_training: 3318.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9623, kappa: 0.8389, kb_relative_information_score: 2336.6654, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.5194, scimark_benchmark: 1239.9045, usercpu_time_millis: 637.903, usercpu_time_millis_testing: 14.734, usercpu_time_millis_training: 623.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.5734, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1266.0062, usercpu_time_millis: 627.436, usercpu_time_millis_testing: 13.322, usercpu_time_millis_training: 614.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2253.8993, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5344, scimark_benchmark: 1297.9444, usercpu_time_millis: 845.64, usercpu_time_millis_testing: 11.905, usercpu_time_millis_training: 833.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9111, kappa: 0.5944, kb_relative_information_score: 1162.7256, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9221, predictive_accuracy: 0.9219, prior_entropy: 0.5848, recall: 0.9219, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.7095, scimark_benchmark: 1275.7276, usercpu_time_millis: 3329.919, usercpu_time_millis_testing: 53.199, usercpu_time_millis_training: 3276.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9666, kappa: 0.8571, kb_relative_information_score: 2501.4146, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9672, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.4892, scimark_benchmark: 1256.8618, usercpu_time_millis: 1222.109, usercpu_time_millis_testing: 24.851, usercpu_time_millis_training: 1197.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8673, kappa: 0.3724, kb_relative_information_score: 462.0636, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8937, predictive_accuracy: 0.8933, prior_entropy: 0.5848, recall: 0.8933, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.8467, scimark_benchmark: 1292.6422, usercpu_time_millis: 3113.157, usercpu_time_millis_testing: 50.668, usercpu_time_millis_training: 3062.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2232.8837, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5348, scimark_benchmark: 1294.902, usercpu_time_millis: 531.32, usercpu_time_millis_testing: 11.913, usercpu_time_millis_training: 519.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9579, kappa: 0.8162, kb_relative_information_score: 2331.2686, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.5265, scimark_benchmark: 1266.6285, usercpu_time_millis: 1887.478, usercpu_time_millis_testing: 32.45, usercpu_time_millis_training: 1855.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.0125, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5352, scimark_benchmark: 1289.2069, usercpu_time_millis: 645.977, usercpu_time_millis_testing: 11.909, usercpu_time_millis_training: 634.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 553.8042, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.869, scimark_benchmark: 1296.7269, usercpu_time_millis: 3023.494, usercpu_time_millis_testing: 49.316, usercpu_time_millis_training: 2974.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9419, kappa: 0.7433, kb_relative_information_score: 2020.8334, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.624, scimark_benchmark: 1271.2122, usercpu_time_millis: 1292.248, usercpu_time_millis_testing: 25.333, usercpu_time_millis_training: 1266.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 264.2806, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.864, scimark_benchmark: 1266.426, usercpu_time_millis: 3487.168, usercpu_time_millis_testing: 62.301, usercpu_time_millis_training: 3424.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9025, kappa: 0.5524, kb_relative_information_score: 1156.4256, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9151, predictive_accuracy: 0.9155, prior_entropy: 0.5848, recall: 0.9155, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7426, scimark_benchmark: 1270.2461, usercpu_time_millis: 3418.704, usercpu_time_millis_testing: 51.797, usercpu_time_millis_training: 3366.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8673, kappa: 0.3717, kb_relative_information_score: 430.7931, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8953, predictive_accuracy: 0.8936, prior_entropy: 0.5848, recall: 0.8936, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8497, scimark_benchmark: 1302.6109, usercpu_time_millis: 3322.077, usercpu_time_millis_testing: 55.728, usercpu_time_millis_training: 3266.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9444, kappa: 0.7544, kb_relative_information_score: 2020.2418, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 0.5848, recall: 0.9485, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.623, scimark_benchmark: 1293.3209, usercpu_time_millis: 1325.507, usercpu_time_millis_testing: 26.229, usercpu_time_millis_training: 1299.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9625, kappa: 0.8398, kb_relative_information_score: 2334.6953, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.963, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.5195, scimark_benchmark: 1288.1966, usercpu_time_millis: 525.47, usercpu_time_millis_testing: 12.072, usercpu_time_millis_training: 513.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2254.0627, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5344, scimark_benchmark: 1287.9987, usercpu_time_millis: 779.31, usercpu_time_millis_testing: 12.163, usercpu_time_millis_training: 767.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9433, kappa: 0.751, kb_relative_information_score: 2109.3388, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9461, predictive_accuracy: 0.9469, prior_entropy: 0.5848, recall: 0.9469, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.598, scimark_benchmark: 1270.5377, usercpu_time_millis: 1261.815, usercpu_time_millis_testing: 25.826, usercpu_time_millis_training: 1235.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9655, kappa: 0.8532, kb_relative_information_score: 2551.1127, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9658, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.4691, scimark_benchmark: 1267.7139, usercpu_time_millis: 671.742, usercpu_time_millis_testing: 13.434, usercpu_time_millis_training: 658.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9579, kappa: 0.8188, kb_relative_information_score: 2371.2491, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9586, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.5314, scimark_benchmark: 1262.6748, usercpu_time_millis: 1206.468, usercpu_time_millis_testing: 21.587, usercpu_time_millis_training: 1184.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9604, kappa: 0.8297, kb_relative_information_score: 2300.6739, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9612, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5229, scimark_benchmark: 1265.9378, usercpu_time_millis: 554.74, usercpu_time_millis_testing: 13.705, usercpu_time_millis_training: 541.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8671, kappa: 0.3714, kb_relative_information_score: 568.0606, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8928, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.852, scimark_benchmark: 1241.4262, usercpu_time_millis: 3551.643, usercpu_time_millis_testing: 57.032, usercpu_time_millis_training: 3494.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.8666, kappa: 0.3694, kb_relative_information_score: 539.994, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8909, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.8517, scimark_benchmark: 1266.6125, usercpu_time_millis: 3546.2, usercpu_time_millis_testing: 54.313, usercpu_time_millis_training: 3491.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9499, kappa: 0.7816, kb_relative_information_score: 2184.8417, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9521, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5806, scimark_benchmark: 1290.4012, usercpu_time_millis: 1161.38, usercpu_time_millis_testing: 23.056, usercpu_time_millis_training: 1138.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9306, kappa: 0.6859, kb_relative_information_score: 1743.2467, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9417, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.6717, scimark_benchmark: 1278.5364, usercpu_time_millis: 1342.286, usercpu_time_millis_testing: 25.545, usercpu_time_millis_training: 1316.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2232.8899, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5348, scimark_benchmark: 1270.3494, usercpu_time_millis: 584.727, usercpu_time_millis_testing: 13.084, usercpu_time_millis_training: 571.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9639, kappa: 0.8458, kb_relative_information_score: 2355.8713, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5167, scimark_benchmark: 1269.6283, usercpu_time_millis: 552.706, usercpu_time_millis_testing: 13.139, usercpu_time_millis_training: 539.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9636, kappa: 0.8446, kb_relative_information_score: 2360.9649, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9639, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.516, scimark_benchmark: 1287.4369, usercpu_time_millis: 546.962, usercpu_time_millis_testing: 12.934, usercpu_time_millis_training: 534.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9561, kappa: 0.8103, kb_relative_information_score: 2247.1491, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1294.6773, usercpu_time_millis: 764.822, usercpu_time_millis_testing: 12.279, usercpu_time_millis_training: 752.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.8625, kappa: 0.3441, kb_relative_information_score: 425.5664, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9022, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8622, scimark_benchmark: 1264.8748, usercpu_time_millis: 3529.202, usercpu_time_millis_testing: 59.834, usercpu_time_millis_training: 3469.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9041, kappa: 0.5599, kb_relative_information_score: 1193.5063, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9166, predictive_accuracy: 0.9167, prior_entropy: 0.5848, recall: 0.9167, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7342, scimark_benchmark: 1296.8305, usercpu_time_millis: 3271.775, usercpu_time_millis_testing: 46.092, usercpu_time_millis_training: 3225.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.8639, kappa: 0.3542, kb_relative_information_score: 357.0513, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8939, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8557, scimark_benchmark: 1263.7187, usercpu_time_millis: 3260.381, usercpu_time_millis_testing: 58.899, usercpu_time_millis_training: 3201.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8678, kappa: 0.3737, kb_relative_information_score: 398.4274, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8973, predictive_accuracy: 0.8942, prior_entropy: 0.5848, recall: 0.8942, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.8505, scimark_benchmark: 1297.3473, usercpu_time_millis: 3139.411, usercpu_time_millis_testing: 52.898, usercpu_time_millis_training: 3086.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2268.3717, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.5323, scimark_benchmark: 1254.0718, usercpu_time_millis: 542.457, usercpu_time_millis_testing: 12.914, usercpu_time_millis_training: 529.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9556, kappa: 0.8076, kb_relative_information_score: 2271.0589, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.957, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5295, scimark_benchmark: 1285.0869, usercpu_time_millis: 509.866, usercpu_time_millis_testing: 12.236, usercpu_time_millis_training: 497.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9501, kappa: 0.7798, kb_relative_information_score: 2158.5192, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9548, predictive_accuracy: 0.9536, prior_entropy: 0.5848, recall: 0.9536, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5794, scimark_benchmark: 1255.4988, usercpu_time_millis: 1642.018, usercpu_time_millis_testing: 30.549, usercpu_time_millis_training: 1611.469,

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