OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.6069, kappa: 0.2138, kb_relative_information_score: 76.4336, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6069, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9807, scimark_benchmark: 1301.3823, usercpu_time_millis: 43.325, usercpu_time_millis_testing: 3.09, usercpu_time_millis_training: 40.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.6655, kappa: 0.3323, kb_relative_information_score: 206.9274, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6674, predictive_accuracy: 0.6662, prior_entropy: 1, recall: 0.6662, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9474, scimark_benchmark: 1300.4514, usercpu_time_millis: 495.489, usercpu_time_millis_testing: 16.626, usercpu_time_millis_training: 478.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.6192, kappa: 0.2385, kb_relative_information_score: 131.2196, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6193, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9676, scimark_benchmark: 1303.1799, usercpu_time_millis: 13.69, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 12.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.6457, kappa: 0.2923, kb_relative_information_score: 159.2531, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6469, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9597, scimark_benchmark: 1286.2495, usercpu_time_millis: 111.761, usercpu_time_millis_testing: 4.79, usercpu_time_millis_training: 106.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7123, kappa: 0.4262, kb_relative_information_score: 317.2325, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7154, predictive_accuracy: 0.7131, prior_entropy: 1, recall: 0.7131, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9186, scimark_benchmark: 1285.9897, usercpu_time_millis: 366.436, usercpu_time_millis_testing: 10.432, usercpu_time_millis_training: 356.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6336, kappa: 0.2677, kb_relative_information_score: 104.108, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6342, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9734, scimark_benchmark: 1295.7769, usercpu_time_millis: 352.666, usercpu_time_millis_testing: 17.171, usercpu_time_millis_training: 335.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6518, kappa: 0.3046, kb_relative_information_score: 209.1906, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6533, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9471, scimark_benchmark: 1304.4535, usercpu_time_millis: 263.121, usercpu_time_millis_testing: 10.7, usercpu_time_millis_training: 252.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6283, kappa: 0.2569, kb_relative_information_score: 125.9524, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6286, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9681, scimark_benchmark: 1298.0952, usercpu_time_millis: 40.662, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 38.337,
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: 0.6956, f_measure: 0.6342, kappa: 0.2692, kb_relative_information_score: 109.4887, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6353, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9724, scimark_benchmark: 1268.4369, usercpu_time_millis: 112.288, usercpu_time_millis_testing: 6.583, usercpu_time_millis_training: 105.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.642, kappa: 0.2846, kb_relative_information_score: 147.218, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6428, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9627, scimark_benchmark: 1290.3567, usercpu_time_millis: 334.803, usercpu_time_millis_testing: 15.667, usercpu_time_millis_training: 319.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.741, kappa: 0.4838, kb_relative_information_score: 425.3659, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7455, predictive_accuracy: 0.7419, prior_entropy: 1, recall: 0.7419, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8895, scimark_benchmark: 1274.8726, usercpu_time_millis: 334.224, usercpu_time_millis_testing: 7.22, usercpu_time_millis_training: 327.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.646, kappa: 0.2923, kb_relative_information_score: 139.411, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6464, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9649, scimark_benchmark: 1270.8596, usercpu_time_millis: 34.717, usercpu_time_millis_testing: 2.067, usercpu_time_millis_training: 32.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6031, kappa: 0.2069, kb_relative_information_score: 88.6766, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6038, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9782, scimark_benchmark: 1268.1923, usercpu_time_millis: 29.914, usercpu_time_millis_testing: 2.323, usercpu_time_millis_training: 27.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6484, kappa: 0.2977, kb_relative_information_score: 156.4812, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6496, predictive_accuracy: 0.6488, prior_entropy: 1, recall: 0.6488, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9606, scimark_benchmark: 1305.7103, usercpu_time_millis: 127.479, usercpu_time_millis_testing: 5.496, usercpu_time_millis_training: 121.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.8348, usercpu_time_millis: 25.819, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 22.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6065, kappa: 0.2131, kb_relative_information_score: 127.0833, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6066, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9734, scimark_benchmark: 1292.2191, usercpu_time_millis: 14.813, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 13.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6279, kappa: 0.2562, kb_relative_information_score: 152.4745, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6283, predictive_accuracy: 0.6281, prior_entropy: 1, recall: 0.6281, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9617, scimark_benchmark: 1305.6031, usercpu_time_millis: 56.417, usercpu_time_millis_testing: 3.073, usercpu_time_millis_training: 53.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.626, kappa: 0.2523, kb_relative_information_score: 112.5915, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6263, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1283.0501, usercpu_time_millis: 55.119, usercpu_time_millis_testing: 3.124, usercpu_time_millis_training: 51.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6323, kappa: 0.2654, kb_relative_information_score: 177.0878, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6333, predictive_accuracy: 0.6327, prior_entropy: 1, recall: 0.6327, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9559, scimark_benchmark: 1260.7265, usercpu_time_millis: 139.378, usercpu_time_millis_testing: 6.406, usercpu_time_millis_training: 132.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.689, kappa: 0.3792, kb_relative_information_score: 258.5178, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6912, predictive_accuracy: 0.6896, prior_entropy: 1, recall: 0.6896, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9345, scimark_benchmark: 1304.8008, usercpu_time_millis: 36.792, usercpu_time_millis_testing: 1.911, usercpu_time_millis_training: 34.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6111, kappa: 0.2223, kb_relative_information_score: 67.229, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1306.5391, usercpu_time_millis: 28.563, usercpu_time_millis_testing: 2.512, usercpu_time_millis_training: 26.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.6123, kappa: 0.2246, kb_relative_information_score: 33.3962, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6123, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1283.6912, usercpu_time_millis: 114.284, usercpu_time_millis_testing: 9.566, usercpu_time_millis_training: 104.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6256, kappa: 0.2515, kb_relative_information_score: 105.9269, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.626, predictive_accuracy: 0.6258, prior_entropy: 1, recall: 0.6258, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9735, scimark_benchmark: 1299.5458, usercpu_time_millis: 103.601, usercpu_time_millis_testing: 6.346, usercpu_time_millis_training: 97.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.6684, kappa: 0.3377, kb_relative_information_score: 202.6419, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6697, predictive_accuracy: 0.6688, prior_entropy: 1, recall: 0.6688, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483, scimark_benchmark: 1298.5197, usercpu_time_millis: 544.134, usercpu_time_millis_testing: 21.043, usercpu_time_millis_training: 523.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6476, kappa: 0.2954, kb_relative_information_score: 174.0292, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6479, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9578, scimark_benchmark: 1278.0795, usercpu_time_millis: 40.486, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 38.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6955, kappa: 0.3931, kb_relative_information_score: 259.6941, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6994, predictive_accuracy: 0.6965, prior_entropy: 1, recall: 0.6965, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9335, scimark_benchmark: 1293.8017, usercpu_time_millis: 491.902, usercpu_time_millis_testing: 12.803, usercpu_time_millis_training: 479.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1293.9235, usercpu_time_millis: 19.122, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 16.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6556, kappa: 0.3123, kb_relative_information_score: 190.0407, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6572, predictive_accuracy: 0.6562, prior_entropy: 1, recall: 0.6562, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9519, scimark_benchmark: 1278.1791, usercpu_time_millis: 89.947, usercpu_time_millis_testing: 3.251, usercpu_time_millis_training: 86.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.6711, kappa: 0.3438, kb_relative_information_score: 209.2274, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6737, predictive_accuracy: 0.6719, prior_entropy: 1, recall: 0.6719, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9465, scimark_benchmark: 1299.5987, usercpu_time_millis: 348.948, usercpu_time_millis_testing: 10.374, usercpu_time_millis_training: 338.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7454, kappa: 0.4931, kb_relative_information_score: 436.7946, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7509, predictive_accuracy: 0.7465, prior_entropy: 1, recall: 0.7465, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8863, scimark_benchmark: 1290.9422, usercpu_time_millis: 690.338, usercpu_time_millis_testing: 14.772, usercpu_time_millis_training: 675.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.66, kappa: 0.3208, kb_relative_information_score: 209.1041, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6612, predictive_accuracy: 0.6604, prior_entropy: 1, recall: 0.6604, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9471, scimark_benchmark: 1304.136, usercpu_time_millis: 162.835, usercpu_time_millis_testing: 6.222, usercpu_time_millis_training: 156.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.611, kappa: 0.2223, kb_relative_information_score: 41.063, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6113, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1299.9657, usercpu_time_millis: 47.011, usercpu_time_millis_testing: 3.754, usercpu_time_millis_training: 43.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.6065, kappa: 0.2131, kb_relative_information_score: 58.0472, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6065, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9853, scimark_benchmark: 1287.6039, usercpu_time_millis: 33.928, usercpu_time_millis_testing: 2.853, usercpu_time_millis_training: 31.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6153, kappa: 0.2308, kb_relative_information_score: 72.7458, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6155, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9815, scimark_benchmark: 1302.1792, usercpu_time_millis: 29.938, usercpu_time_millis_testing: 2.339, usercpu_time_millis_training: 27.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.6057, kappa: 0.2115, kb_relative_information_score: 50.5923, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6058, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9871, scimark_benchmark: 1282.2628, usercpu_time_millis: 26.988, usercpu_time_millis_testing: 2.291, usercpu_time_millis_training: 24.697,
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: 0.6692, f_measure: 0.6176, kappa: 0.2354, kb_relative_information_score: 75.4727, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6178, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9811, scimark_benchmark: 1277.29, usercpu_time_millis: 14.507, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 13.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6356, kappa: 0.2723, kb_relative_information_score: 184.4359, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.637, predictive_accuracy: 0.6362, prior_entropy: 1, recall: 0.6362, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9541, scimark_benchmark: 1283.2446, usercpu_time_millis: 109.991, usercpu_time_millis_testing: 5.138, usercpu_time_millis_training: 104.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.6776, kappa: 0.3569, kb_relative_information_score: 239.6952, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6805, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9395, scimark_benchmark: 1279.1804, usercpu_time_millis: 89.288, usercpu_time_millis_testing: 3.89, usercpu_time_millis_training: 85.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.6337, kappa: 0.2685, kb_relative_information_score: 159.4637, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6351, predictive_accuracy: 0.6342, prior_entropy: 1, recall: 0.6342, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9611, scimark_benchmark: 1277.0256, usercpu_time_millis: 67.579, usercpu_time_millis_testing: 3.079, usercpu_time_millis_training: 64.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6459, kappa: 0.2923, kb_relative_information_score: 127.3386, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6467, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9679, scimark_benchmark: 1307.3741, usercpu_time_millis: 164.159, usercpu_time_millis_testing: 8.827, usercpu_time_millis_training: 155.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.6597, kappa: 0.3208, kb_relative_information_score: 209.4486, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6617, predictive_accuracy: 0.6604, prior_entropy: 1, recall: 0.6604, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9476, scimark_benchmark: 1301.5436, usercpu_time_millis: 195.163, usercpu_time_millis_testing: 6.712, usercpu_time_millis_training: 188.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.6379, kappa: 0.2762, kb_relative_information_score: 102.4237, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6383, predictive_accuracy: 0.6381, prior_entropy: 1, recall: 0.6381, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9741, scimark_benchmark: 1277.4498, usercpu_time_millis: 159.095, usercpu_time_millis_testing: 10.036, usercpu_time_millis_training: 149.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.6219, kappa: 0.2438, kb_relative_information_score: 80.3676, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.622, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1276.4342, usercpu_time_millis: 40.811, usercpu_time_millis_testing: 3.052, usercpu_time_millis_training: 37.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6022, kappa: 0.2046, kb_relative_information_score: 76.8267, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6025, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.981, scimark_benchmark: 1302.731, usercpu_time_millis: 42.555, usercpu_time_millis_testing: 3.854, usercpu_time_millis_training: 38.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7191, kappa: 0.4408, kb_relative_information_score: 332.4647, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7245, predictive_accuracy: 0.7204, prior_entropy: 1, recall: 0.7204, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9149, scimark_benchmark: 1290.5356, usercpu_time_millis: 434.908, usercpu_time_millis_testing: 11.112, usercpu_time_millis_training: 423.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6169, kappa: 0.2338, kb_relative_information_score: 124.6922, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.617, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9688, scimark_benchmark: 1295.83, usercpu_time_millis: 32.709, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 30.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7076, kappa: 0.4177, kb_relative_information_score: 300.4885, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7124, predictive_accuracy: 0.7088, prior_entropy: 1, recall: 0.7088, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9235, scimark_benchmark: 1284.2017, usercpu_time_millis: 168.992, usercpu_time_millis_testing: 5.184, usercpu_time_millis_training: 163.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.6061, kappa: 0.2123, kb_relative_information_score: 80.4479, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6062, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9797, scimark_benchmark: 1284.5128, usercpu_time_millis: 53.63, usercpu_time_millis_testing: 3.556, usercpu_time_millis_training: 50.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.6279, kappa: 0.2562, kb_relative_information_score: 124.5131, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6283, predictive_accuracy: 0.6281, prior_entropy: 1, recall: 0.6281, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 1296.2981, usercpu_time_millis: 46.025, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 43.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.6651, kappa: 0.3308, kb_relative_information_score: 188.2572, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.666, predictive_accuracy: 0.6654, prior_entropy: 1, recall: 0.6654, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9521, scimark_benchmark: 1277.9505, usercpu_time_millis: 420.931, usercpu_time_millis_testing: 18.433, usercpu_time_millis_training: 402.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6303, kappa: 0.2608, kb_relative_information_score: 114.2285, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6306, predictive_accuracy: 0.6304, prior_entropy: 1, recall: 0.6304, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9709, scimark_benchmark: 1296.0602, usercpu_time_millis: 64.55, usercpu_time_millis_testing: 4.514, usercpu_time_millis_training: 60.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7253, kappa: 0.4523, kb_relative_information_score: 355.0761, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7291, predictive_accuracy: 0.7262, prior_entropy: 1, recall: 0.7262, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9083, scimark_benchmark: 1301.5828, usercpu_time_millis: 526.275, usercpu_time_millis_testing: 14.237, usercpu_time_millis_training: 512.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6584, kappa: 0.3177, kb_relative_information_score: 182.1118, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6596, predictive_accuracy: 0.6588, prior_entropy: 1, recall: 0.6588, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9539, scimark_benchmark: 1279.9527, usercpu_time_millis: 285.999, usercpu_time_millis_testing: 10.327, usercpu_time_millis_training: 275.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6057, kappa: 0.2115, kb_relative_information_score: 74.7419, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6059, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9815, scimark_benchmark: 1289.1367, usercpu_time_millis: 20.008, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 18.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7034, kappa: 0.4092, kb_relative_information_score: 292.7917, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.708, predictive_accuracy: 0.7046, prior_entropy: 1, recall: 0.7046, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9254, scimark_benchmark: 1285.0829, usercpu_time_millis: 672.406, usercpu_time_millis_testing: 15.887, usercpu_time_millis_training: 656.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.6925, kappa: 0.3862, kb_relative_information_score: 286.3542, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6945, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9271, scimark_benchmark: 1299.5697, usercpu_time_millis: 89.295, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 86.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6881, kappa: 0.3777, kb_relative_information_score: 243.1392, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6906, predictive_accuracy: 0.6888, prior_entropy: 1, recall: 0.6888, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9377, scimark_benchmark: 1283.4888, usercpu_time_millis: 435.221, usercpu_time_millis_testing: 15.035, usercpu_time_millis_training: 420.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6798, kappa: 0.3615, kb_relative_information_score: 242.3025, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6831, predictive_accuracy: 0.6808, prior_entropy: 1, recall: 0.6808, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9385, scimark_benchmark: 1295.9198, usercpu_time_millis: 316.841, usercpu_time_millis_testing: 10.094, usercpu_time_millis_training: 306.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6748, kappa: 0.3515, kb_relative_information_score: 241.0942, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6779, predictive_accuracy: 0.6758, prior_entropy: 1, recall: 0.6758, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9389, scimark_benchmark: 1273.4005, usercpu_time_millis: 192.686, usercpu_time_millis_testing: 6.525, usercpu_time_millis_training: 186.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6061, kappa: 0.2123, kb_relative_information_score: 66.2879, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6062, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9831, scimark_benchmark: 1274.0782, usercpu_time_millis: 46.198, usercpu_time_millis_testing: 3.152, usercpu_time_millis_training: 43.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.6756, kappa: 0.3523, kb_relative_information_score: 257.5326, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6775, predictive_accuracy: 0.6762, prior_entropy: 1, recall: 0.6762, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9367, scimark_benchmark: 1271.1743, usercpu_time_millis: 43.687, usercpu_time_millis_testing: 2.348, usercpu_time_millis_training: 41.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1298.8253, usercpu_time_millis: 23.812, usercpu_time_millis_testing: 2.673, usercpu_time_millis_training: 21.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6442, kappa: 0.2885, kb_relative_information_score: 171.7081, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6443, predictive_accuracy: 0.6442, prior_entropy: 1, recall: 0.6442, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9601, scimark_benchmark: 1266.6127, usercpu_time_millis: 21.417, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 19.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.5717, kappa: 0.1446, kb_relative_information_score: 65.2249, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5727, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9887, scimark_benchmark: 1296.0066, usercpu_time_millis: 20.117, usercpu_time_millis_testing: 1.998, usercpu_time_millis_training: 18.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6111, kappa: 0.2223, kb_relative_information_score: 68.266, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9828, scimark_benchmark: 1295.6115, usercpu_time_millis: 104.829, usercpu_time_millis_testing: 7.307, usercpu_time_millis_training: 97.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.6418, kappa: 0.2846, kb_relative_information_score: 154.8577, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6431, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9617, scimark_benchmark: 1292.7497, usercpu_time_millis: 76.556, usercpu_time_millis_testing: 3.244, usercpu_time_millis_training: 73.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7049, kappa: 0.4115, kb_relative_information_score: 303.6994, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7084, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9228, scimark_benchmark: 1275.7097, usercpu_time_millis: 295.247, usercpu_time_millis_testing: 8.78, usercpu_time_millis_training: 286.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.726, kappa: 0.4546, kb_relative_information_score: 356.6328, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7316, predictive_accuracy: 0.7273, prior_entropy: 1, recall: 0.7273, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9085, scimark_benchmark: 1291.749, usercpu_time_millis: 601.945, usercpu_time_millis_testing: 13.668, usercpu_time_millis_training: 588.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.646, kappa: 0.2931, kb_relative_information_score: 159.3559, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6475, predictive_accuracy: 0.6465, prior_entropy: 1, recall: 0.6465, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9594, scimark_benchmark: 1305.9948, usercpu_time_millis: 475.672, usercpu_time_millis_testing: 18.964, usercpu_time_millis_training: 456.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.666, kappa: 0.3331, kb_relative_information_score: 242.2444, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6676, predictive_accuracy: 0.6665, prior_entropy: 1, recall: 0.6665, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9401, scimark_benchmark: 1301.3525, usercpu_time_millis: 31.787, usercpu_time_millis_testing: 1.76, usercpu_time_millis_training: 30.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6061, kappa: 0.2123, kb_relative_information_score: 19.9485, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6062, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1284.2436, usercpu_time_millis: 26.62, usercpu_time_millis_testing: 2.999, usercpu_time_millis_training: 23.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6288, kappa: 0.2585, kb_relative_information_score: 131.9407, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6298, predictive_accuracy: 0.6292, prior_entropy: 1, recall: 0.6292, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9669, scimark_benchmark: 1297.8049, usercpu_time_millis: 221.168, usercpu_time_millis_testing: 11.306, usercpu_time_millis_training: 209.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6919, kappa: 0.3862, kb_relative_information_score: 280.4583, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.696, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9293, scimark_benchmark: 1295.3551, usercpu_time_millis: 321.174, usercpu_time_millis_testing: 7.092, usercpu_time_millis_training: 314.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.6088, kappa: 0.2177, kb_relative_information_score: 99.2405, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6089, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9755, scimark_benchmark: 1295.9829, usercpu_time_millis: 55.193, usercpu_time_millis_testing: 3.744, usercpu_time_millis_training: 51.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.6294, kappa: 0.2592, kb_relative_information_score: 149.2055, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6299, predictive_accuracy: 0.6296, prior_entropy: 1, recall: 0.6296, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9642, scimark_benchmark: 1288.4527, usercpu_time_millis: 36.176, usercpu_time_millis_testing: 2.168, usercpu_time_millis_training: 34.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.5935, kappa: 0.1869, kb_relative_information_score: 51.074, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5935, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9875, scimark_benchmark: 1296.4531, usercpu_time_millis: 148.335, usercpu_time_millis_testing: 11.845, usercpu_time_millis_training: 136.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.626, kappa: 0.2523, kb_relative_information_score: 168.2493, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6264, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9584, scimark_benchmark: 1297.7503, usercpu_time_millis: 29.334, usercpu_time_millis_testing: 1.475, usercpu_time_millis_training: 27.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1291.3183, usercpu_time_millis: 19.141, usercpu_time_millis_testing: 2.647, usercpu_time_millis_training: 16.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.6776, kappa: 0.3569, kb_relative_information_score: 258.5884, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6804, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.935, scimark_benchmark: 1288.6288, usercpu_time_millis: 347.92, usercpu_time_millis_testing: 10.934, usercpu_time_millis_training: 336.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6234, kappa: 0.2469, kb_relative_information_score: 63.6779, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6235, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9838, scimark_benchmark: 1303.0242, usercpu_time_millis: 306.941, usercpu_time_millis_testing: 19.939, usercpu_time_millis_training: 287.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 71.8923, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9816, scimark_benchmark: 1291.1577, usercpu_time_millis: 73.134, usercpu_time_millis_testing: 4.845, usercpu_time_millis_training: 68.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7185, kappa: 0.4392, kb_relative_information_score: 351.2908, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7232, predictive_accuracy: 0.7196, prior_entropy: 1, recall: 0.7196, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9101, scimark_benchmark: 1302.2829, usercpu_time_millis: 332.296, usercpu_time_millis_testing: 9.107, usercpu_time_millis_training: 323.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6321, kappa: 0.2646, kb_relative_information_score: 120.9018, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6325, predictive_accuracy: 0.6323, prior_entropy: 1, recall: 0.6323, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9693, scimark_benchmark: 1280.0169, usercpu_time_millis: 159.888, usercpu_time_millis_testing: 8.942, usercpu_time_millis_training: 150.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.5834, kappa: 0.1669, kb_relative_information_score: 65.6736, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5835, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.985, scimark_benchmark: 1295.8253, usercpu_time_millis: 43.638, usercpu_time_millis_testing: 3.683, usercpu_time_millis_training: 39.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6019, kappa: 0.2038, kb_relative_information_score: 32.5274, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1267.9492, usercpu_time_millis: 23.901, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 21.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6169, kappa: 0.2338, kb_relative_information_score: 110.5625, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.617, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1275.8386, usercpu_time_millis: 20.691, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 19.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.6184, kappa: 0.2369, kb_relative_information_score: 114.7388, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6186, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9714, scimark_benchmark: 1281.7452, usercpu_time_millis: 89.743, usercpu_time_millis_testing: 5.339, usercpu_time_millis_training: 84.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.6821, kappa: 0.3662, kb_relative_information_score: 258.3385, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6853, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9346, scimark_benchmark: 1270.3245, usercpu_time_millis: 227.033, usercpu_time_millis_testing: 7.716, usercpu_time_millis_training: 219.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6227, kappa: 0.2454, kb_relative_information_score: 133.0888, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6227, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9666, scimark_benchmark: 1284.5985, usercpu_time_millis: 56.131, usercpu_time_millis_testing: 2.984, usercpu_time_millis_training: 53.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5785, kappa: 0.1569, kb_relative_information_score: 38.4496, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5785, predictive_accuracy: 0.5785, prior_entropy: 1, recall: 0.5785, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1275.8407, usercpu_time_millis: 55.431, usercpu_time_millis_testing: 4.871, usercpu_time_millis_training: 50.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6591, kappa: 0.32, kb_relative_information_score: 210.7463, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6617, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9473, scimark_benchmark: 1280.1991, usercpu_time_millis: 154.832, usercpu_time_millis_testing: 5.275, usercpu_time_millis_training: 149.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.681, kappa: 0.3631, kb_relative_information_score: 226.9801, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6828, predictive_accuracy: 0.6815, prior_entropy: 1, recall: 0.6815, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.471, root_relative_squared_error: 0.942, scimark_benchmark: 1298.3331, usercpu_time_millis: 337.96, usercpu_time_millis_testing: 13.155, usercpu_time_millis_training: 324.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6451, kappa: 0.2915, kb_relative_information_score: 186.5579, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.647, predictive_accuracy: 0.6458, prior_entropy: 1, recall: 0.6458, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9531, scimark_benchmark: 1280.638, usercpu_time_millis: 139.192, usercpu_time_millis_testing: 5.711, usercpu_time_millis_training: 133.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.6276, kappa: 0.2554, kb_relative_information_score: 100.1088, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6279, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9749, scimark_benchmark: 1299.3268, usercpu_time_millis: 26.181, usercpu_time_millis_testing: 2.556, usercpu_time_millis_training: 23.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.5892, kappa: 0.1785, kb_relative_information_score: 89.7905, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5892, predictive_accuracy: 0.5892, prior_entropy: 1, recall: 0.5892, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9797, scimark_benchmark: 1297.8978, usercpu_time_millis: 25.161, usercpu_time_millis_testing: 1.998, usercpu_time_millis_training: 23.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6774, kappa: 0.3562, kb_relative_information_score: 236.3677, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6796, predictive_accuracy: 0.6781, prior_entropy: 1, recall: 0.6781, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.47, root_relative_squared_error: 0.94, scimark_benchmark: 1305.1418, usercpu_time_millis: 230.457, usercpu_time_millis_testing: 6.723, usercpu_time_millis_training: 223.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6442, kappa: 0.29, kb_relative_information_score: 156.2762, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6464, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1305.037, usercpu_time_millis: 91.469, usercpu_time_millis_testing: 4.538, usercpu_time_millis_training: 86.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.6287, kappa: 0.2577, kb_relative_information_score: 98.8547, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6291, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9753, scimark_benchmark: 1286.874, usercpu_time_millis: 83.762, usercpu_time_millis_testing: 5.301, usercpu_time_millis_training: 78.461,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs