OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

38804 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6806, kappa: 0.3623, kb_relative_information_score: 245.3436, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6824, predictive_accuracy: 0.6812, prior_entropy: 1, recall: 0.6812, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1279.8333, usercpu_time_millis: 157.729, usercpu_time_millis_testing: 6.753, usercpu_time_millis_training: 150.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.6142, kappa: 0.2285, kb_relative_information_score: 142.0485, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6142, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9647, scimark_benchmark: 1297.4342, usercpu_time_millis: 38.198, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 35.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.5961, kappa: 0.1923, kb_relative_information_score: 18.7385, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5962, predictive_accuracy: 0.5962, prior_entropy: 1, recall: 0.5962, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1263.4587, usercpu_time_millis: 23.289, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 21.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.6131, kappa: 0.2262, kb_relative_information_score: 77.6824, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6131, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 1277.4392, usercpu_time_millis: 97.461, usercpu_time_millis_testing: 5.757, usercpu_time_millis_training: 91.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6057, kappa: 0.2115, kb_relative_information_score: 104.5555, mean_absolute_error: 0.4851, 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: 0.9701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9745, scimark_benchmark: 1287.4118, usercpu_time_millis: 65.633, usercpu_time_millis_testing: 4.147, usercpu_time_millis_training: 61.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.6854, kappa: 0.3723, kb_relative_information_score: 264.6681, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.688, predictive_accuracy: 0.6862, prior_entropy: 1, recall: 0.6862, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9331, scimark_benchmark: 1297.2807, usercpu_time_millis: 61.917, usercpu_time_millis_testing: 2.965, usercpu_time_millis_training: 58.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6586, kappa: 0.3192, kb_relative_information_score: 223.7779, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6616, predictive_accuracy: 0.6596, prior_entropy: 1, recall: 0.6596, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9439, scimark_benchmark: 1277.4741, usercpu_time_millis: 117.206, usercpu_time_millis_testing: 4.156, usercpu_time_millis_training: 113.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7101, kappa: 0.4223, kb_relative_information_score: 318.7916, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7142, predictive_accuracy: 0.7112, prior_entropy: 1, recall: 0.7112, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9193, scimark_benchmark: 1294.8563, usercpu_time_millis: 245.882, usercpu_time_millis_testing: 7.221, usercpu_time_millis_training: 238.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1288.1245, usercpu_time_millis: 24.464, usercpu_time_millis_testing: 2.793, usercpu_time_millis_training: 21.671,
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: 0.6618, f_measure: 0.6192, kappa: 0.2385, kb_relative_information_score: 145.4451, mean_absolute_error: 0.4785, 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: 0.957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1291.851, usercpu_time_millis: 14.134, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 12.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 70.3659, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9852, scimark_benchmark: 1272.7092, usercpu_time_millis: 12.336, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 11.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.6258, kappa: 0.2523, kb_relative_information_score: 133.9466, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6266, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9664, scimark_benchmark: 1267.9273, usercpu_time_millis: 202.33, usercpu_time_millis_testing: 10.318, usercpu_time_millis_training: 192.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6436, kappa: 0.2877, kb_relative_information_score: 139.4894, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6443, predictive_accuracy: 0.6438, prior_entropy: 1, recall: 0.6438, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9647, scimark_benchmark: 1270.2597, usercpu_time_millis: 54.554, usercpu_time_millis_testing: 3.147, usercpu_time_millis_training: 51.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6691, kappa: 0.3392, kb_relative_information_score: 208.6304, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6706, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9465, scimark_benchmark: 1286.1981, usercpu_time_millis: 550.339, usercpu_time_millis_testing: 16.194, usercpu_time_millis_training: 534.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6615, kappa: 0.3238, kb_relative_information_score: 210.6985, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6628, predictive_accuracy: 0.6619, prior_entropy: 1, recall: 0.6619, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.947, scimark_benchmark: 1292.6457, usercpu_time_millis: 267.997, usercpu_time_millis_testing: 10.4, usercpu_time_millis_training: 257.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6313, kappa: 0.2631, kb_relative_information_score: 123.8649, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6319, predictive_accuracy: 0.6315, prior_entropy: 1, recall: 0.6315, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694, scimark_benchmark: 1298.5044, usercpu_time_millis: 13.344, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 12.197,
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: 0.6683, f_measure: 0.6184, kappa: 0.2369, kb_relative_information_score: 128.7723, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6185, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1293.369, usercpu_time_millis: 27.552, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 25.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6264, kappa: 0.2538, kb_relative_information_score: 163.5222, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6276, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9631, scimark_benchmark: 1276.0233, usercpu_time_millis: 19.862, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 18.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.5954, kappa: 0.1908, kb_relative_information_score: 95.1397, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5954, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9788, scimark_benchmark: 1300.1974, usercpu_time_millis: 18.44, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 16.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.6046, kappa: 0.2092, kb_relative_information_score: 40.8926, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6046, predictive_accuracy: 0.6046, prior_entropy: 1, recall: 0.6046, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1291.5501, usercpu_time_millis: 11.159, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 10.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.6336, kappa: 0.2677, kb_relative_information_score: 107.3264, mean_absolute_error: 0.4848, 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: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1282.6168, usercpu_time_millis: 203.214, usercpu_time_millis_testing: 11.259, usercpu_time_millis_training: 191.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6215, kappa: 0.2431, kb_relative_information_score: 86.3517, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6216, predictive_accuracy: 0.6215, prior_entropy: 1, recall: 0.6215, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9779, scimark_benchmark: 1277.2567, usercpu_time_millis: 105.076, usercpu_time_millis_testing: 6.046, usercpu_time_millis_training: 99.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6222, kappa: 0.2446, kb_relative_information_score: 74.1755, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6225, predictive_accuracy: 0.6223, prior_entropy: 1, recall: 0.6223, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.981, scimark_benchmark: 1261.6979, usercpu_time_millis: 100.064, usercpu_time_millis_testing: 6.314, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6366, kappa: 0.2746, kb_relative_information_score: 166.6049, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6383, predictive_accuracy: 0.6373, prior_entropy: 1, recall: 0.6373, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581, scimark_benchmark: 1284.7518, usercpu_time_millis: 87.882, usercpu_time_millis_testing: 4.185, usercpu_time_millis_training: 83.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6718, kappa: 0.3446, kb_relative_information_score: 195.8637, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6734, predictive_accuracy: 0.6723, prior_entropy: 1, recall: 0.6723, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9504, scimark_benchmark: 1299.9269, usercpu_time_millis: 179.113, usercpu_time_millis_testing: 6.367, usercpu_time_millis_training: 172.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6433, kappa: 0.2877, kb_relative_information_score: 163.4363, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6448, predictive_accuracy: 0.6438, prior_entropy: 1, recall: 0.6438, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9585, scimark_benchmark: 1274.0118, usercpu_time_millis: 426.044, usercpu_time_millis_testing: 16.354, usercpu_time_millis_training: 409.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 39.0715, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1297.2629, usercpu_time_millis: 55.529, usercpu_time_millis_testing: 4.943, usercpu_time_millis_training: 50.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6023, kappa: 0.2046, kb_relative_information_score: 31.8115, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6023, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1268.9938, usercpu_time_millis: 47.972, usercpu_time_millis_testing: 4.959, usercpu_time_millis_training: 43.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.6135, kappa: 0.2269, kb_relative_information_score: 27.633, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6135, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1300.8003, usercpu_time_millis: 48.4, usercpu_time_millis_testing: 4.573, usercpu_time_millis_training: 43.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6031, kappa: 0.2062, kb_relative_information_score: 47.5615, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6031, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9879, scimark_benchmark: 1263.2931, usercpu_time_millis: 29.411, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 26.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 83.5641, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6039, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1291.2709, usercpu_time_millis: 35.905, usercpu_time_millis_testing: 2.407, usercpu_time_millis_training: 33.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1299.0014, usercpu_time_millis: 13.996, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 12.147,
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: 0.7421, f_measure: 0.6576, kappa: 0.3169, kb_relative_information_score: 227.0777, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6601, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9431, scimark_benchmark: 1280.7799, usercpu_time_millis: 224.352, usercpu_time_millis_testing: 6.928, usercpu_time_millis_training: 217.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7112, kappa: 0.4238, kb_relative_information_score: 304.4969, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7141, predictive_accuracy: 0.7119, prior_entropy: 1, recall: 0.7119, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.922, scimark_benchmark: 1304.3899, usercpu_time_millis: 327.979, usercpu_time_millis_testing: 10.175, usercpu_time_millis_training: 317.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.6405, kappa: 0.2823, kb_relative_information_score: 163.1757, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6422, predictive_accuracy: 0.6412, prior_entropy: 1, recall: 0.6412, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1273.1372, usercpu_time_millis: 68.848, usercpu_time_millis_testing: 3.745, usercpu_time_millis_training: 65.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.6037, kappa: 0.2077, kb_relative_information_score: 89.9941, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.604, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9779, scimark_benchmark: 1298.0818, usercpu_time_millis: 26.212, usercpu_time_millis_testing: 1.745, usercpu_time_millis_training: 24.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.6238, kappa: 0.2477, kb_relative_information_score: 160.1869, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.624, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9606, scimark_benchmark: 1277.1801, usercpu_time_millis: 58.197, usercpu_time_millis_testing: 2.913, usercpu_time_millis_training: 55.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6058, kappa: 0.2115, kb_relative_information_score: 41.1735, mean_absolute_error: 0.4943, 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: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1296.3223, usercpu_time_millis: 19.258, usercpu_time_millis_testing: 1.911, usercpu_time_millis_training: 17.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 79.471, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6074, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9803, scimark_benchmark: 1265.161, usercpu_time_millis: 32.958, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 29.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7125, kappa: 0.4277, kb_relative_information_score: 318.4754, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7178, predictive_accuracy: 0.7138, prior_entropy: 1, recall: 0.7138, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9187, scimark_benchmark: 1297.7683, usercpu_time_millis: 177.179, usercpu_time_millis_testing: 5.114, usercpu_time_millis_training: 172.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.632, kappa: 0.2646, kb_relative_information_score: 120.6558, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6328, predictive_accuracy: 0.6323, prior_entropy: 1, recall: 0.6323, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9695, scimark_benchmark: 1302.8955, usercpu_time_millis: 267.885, usercpu_time_millis_testing: 14.383, usercpu_time_millis_training: 253.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6337, kappa: 0.2677, kb_relative_information_score: 139.8062, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6341, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9645, scimark_benchmark: 1294.3132, usercpu_time_millis: 98.376, usercpu_time_millis_testing: 5.329, usercpu_time_millis_training: 93.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.6237, kappa: 0.2477, kb_relative_information_score: 86.7302, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.624, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784, scimark_benchmark: 1278.0078, usercpu_time_millis: 134.513, usercpu_time_millis_testing: 8.18, usercpu_time_millis_training: 126.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.6363, kappa: 0.2738, kb_relative_information_score: 153.978, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6378, predictive_accuracy: 0.6369, prior_entropy: 1, recall: 0.6369, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9612, scimark_benchmark: 1282.4831, usercpu_time_millis: 131.563, usercpu_time_millis_testing: 6.411, usercpu_time_millis_training: 125.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 107.7037, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6165, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9732, scimark_benchmark: 1299.9819, usercpu_time_millis: 72.536, usercpu_time_millis_testing: 4.847, usercpu_time_millis_training: 67.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.6271, kappa: 0.2546, kb_relative_information_score: 106.1337, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6276, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9731, scimark_benchmark: 1279.8374, usercpu_time_millis: 110.136, usercpu_time_millis_testing: 6.743, usercpu_time_millis_training: 103.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.6285, kappa: 0.2577, kb_relative_information_score: 121.3287, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6293, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9693, scimark_benchmark: 1299.6404, usercpu_time_millis: 105, usercpu_time_millis_testing: 6.117, usercpu_time_millis_training: 98.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.6623, kappa: 0.3262, kb_relative_information_score: 198.1259, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6645, predictive_accuracy: 0.6631, prior_entropy: 1, recall: 0.6631, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9494, scimark_benchmark: 1293.5729, usercpu_time_millis: 297.306, usercpu_time_millis_testing: 9.248, usercpu_time_millis_training: 288.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6045, kappa: 0.2092, kb_relative_information_score: 34.7551, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6047, predictive_accuracy: 0.6046, prior_entropy: 1, recall: 0.6046, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1299.5495, usercpu_time_millis: 23.624, usercpu_time_millis_testing: 2.379, usercpu_time_millis_training: 21.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6134, kappa: 0.2269, kb_relative_information_score: 73.3592, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6135, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9813, scimark_benchmark: 1281.9323, usercpu_time_millis: 82.137, usercpu_time_millis_testing: 5.605, usercpu_time_millis_training: 76.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 48.3248, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 1283.5966, usercpu_time_millis: 11.402, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 10.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6331, kappa: 0.2669, kb_relative_information_score: 151.5243, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.634, predictive_accuracy: 0.6335, prior_entropy: 1, recall: 0.6335, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9621, scimark_benchmark: 1301.3786, usercpu_time_millis: 165.154, usercpu_time_millis_testing: 8.237, usercpu_time_millis_training: 156.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.6322, kappa: 0.2646, kb_relative_information_score: 101.159, mean_absolute_error: 0.4856, 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: 0.9713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9745, scimark_benchmark: 1280.1215, usercpu_time_millis: 139.516, usercpu_time_millis_testing: 9.192, usercpu_time_millis_training: 130.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5315, kappa: 0.0631, kb_relative_information_score: 54.2324, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5315, predictive_accuracy: 0.5315, prior_entropy: 1, recall: 0.5315, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0025, scimark_benchmark: 1298.4807, usercpu_time_millis: 9.67, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 8.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.6241, kappa: 0.2485, kb_relative_information_score: 134.0261, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6245, predictive_accuracy: 0.6242, prior_entropy: 1, recall: 0.6242, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9662, scimark_benchmark: 1299.1397, usercpu_time_millis: 107.512, usercpu_time_millis_testing: 6.048, usercpu_time_millis_training: 101.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.628, kappa: 0.2562, kb_relative_information_score: 109.8161, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6282, predictive_accuracy: 0.6281, prior_entropy: 1, recall: 0.6281, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9724, scimark_benchmark: 1288.5358, usercpu_time_millis: 82.115, usercpu_time_millis_testing: 4.7, usercpu_time_millis_training: 77.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.708, kappa: 0.4185, kb_relative_information_score: 285.6509, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.713, predictive_accuracy: 0.7092, prior_entropy: 1, recall: 0.7092, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.927, scimark_benchmark: 1279.065, usercpu_time_millis: 348.927, usercpu_time_millis_testing: 9.078, usercpu_time_millis_training: 339.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6922, kappa: 0.3862, kb_relative_information_score: 258.9409, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6953, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9336, scimark_benchmark: 1298.5729, usercpu_time_millis: 487.944, usercpu_time_millis_testing: 13.089, usercpu_time_millis_training: 474.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6372, kappa: 0.2754, kb_relative_information_score: 160.2492, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6384, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9595, scimark_benchmark: 1272.1762, usercpu_time_millis: 149.089, usercpu_time_millis_testing: 7.271, usercpu_time_millis_training: 141.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.6925, kappa: 0.3869, kb_relative_information_score: 285.1097, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.696, predictive_accuracy: 0.6935, prior_entropy: 1, recall: 0.6935, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9279, scimark_benchmark: 1264.6432, usercpu_time_millis: 383.754, usercpu_time_millis_testing: 10.556, usercpu_time_millis_training: 373.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6049, kappa: 0.21, kb_relative_information_score: 43.037, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6051, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1301.4108, usercpu_time_millis: 34.78, usercpu_time_millis_testing: 3.785, usercpu_time_millis_training: 30.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6057, kappa: 0.2115, kb_relative_information_score: 78.8291, mean_absolute_error: 0.4889, 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: 0.9778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 1300.0467, usercpu_time_millis: 33.184, usercpu_time_millis_testing: 2.712, usercpu_time_millis_training: 30.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.662, kappa: 0.3254, kb_relative_information_score: 209.9371, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.664, predictive_accuracy: 0.6627, prior_entropy: 1, recall: 0.6627, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9468, scimark_benchmark: 1271.5143, usercpu_time_millis: 255.858, usercpu_time_millis_testing: 8.345, usercpu_time_millis_training: 247.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1273.5189, usercpu_time_millis: 24.854, usercpu_time_millis_testing: 2.353, usercpu_time_millis_training: 22.501,
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: 1280.5378, usercpu_time_millis: 17.923, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 16.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6191, kappa: 0.2385, kb_relative_information_score: 99.4976, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6195, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9751, scimark_benchmark: 1279.7801, usercpu_time_millis: 93.868, usercpu_time_millis_testing: 6.94, usercpu_time_millis_training: 86.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6203, kappa: 0.2408, kb_relative_information_score: 98.1634, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6205, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.976, scimark_benchmark: 1282.1693, usercpu_time_millis: 42.722, usercpu_time_millis_testing: 2.697, usercpu_time_millis_training: 40.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6108, kappa: 0.2215, kb_relative_information_score: 107.6741, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9732, scimark_benchmark: 1272.6922, usercpu_time_millis: 45.036, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 42.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6504, kappa: 0.3015, kb_relative_information_score: 149.6166, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6515, predictive_accuracy: 0.6508, prior_entropy: 1, recall: 0.6508, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9621, scimark_benchmark: 1280.32, usercpu_time_millis: 428.183, usercpu_time_millis_testing: 17.547, usercpu_time_millis_training: 410.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6685, kappa: 0.3385, kb_relative_information_score: 222.4591, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6707, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9438, scimark_benchmark: 1278.0894, usercpu_time_millis: 167.585, usercpu_time_millis_testing: 6.419, usercpu_time_millis_training: 161.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7207, kappa: 0.4431, kb_relative_information_score: 347.2883, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7244, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9113, scimark_benchmark: 1265.4413, usercpu_time_millis: 202.391, usercpu_time_millis_testing: 6.155, usercpu_time_millis_training: 196.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6061, kappa: 0.2123, kb_relative_information_score: 48.2203, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6063, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9877, scimark_benchmark: 1289.0339, usercpu_time_millis: 20.053, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 18.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7129, kappa: 0.4285, kb_relative_information_score: 305.8794, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7183, predictive_accuracy: 0.7142, prior_entropy: 1, recall: 0.7142, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9218, scimark_benchmark: 1269.8584, usercpu_time_millis: 201.071, usercpu_time_millis_testing: 4.638, usercpu_time_millis_training: 196.433,
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: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1280.0504, usercpu_time_millis: 8.949, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 7.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.6103, kappa: 0.2208, kb_relative_information_score: 42.757, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6104, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1297.9247, usercpu_time_millis: 190.283, usercpu_time_millis_testing: 16.295, usercpu_time_millis_training: 173.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6133, kappa: 0.2269, kb_relative_information_score: 61.3596, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6136, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9843, scimark_benchmark: 1291.6825, usercpu_time_millis: 129.936, usercpu_time_millis_testing: 9.536, usercpu_time_millis_training: 120.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.6662, kappa: 0.3338, kb_relative_information_score: 224.2885, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6683, predictive_accuracy: 0.6669, prior_entropy: 1, recall: 0.6669, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9434, scimark_benchmark: 1286.8177, usercpu_time_millis: 315.37, usercpu_time_millis_testing: 11.047, usercpu_time_millis_training: 304.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.6474, kappa: 0.2954, kb_relative_information_score: 174.7064, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6482, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9557, scimark_benchmark: 1266.1714, usercpu_time_millis: 132.944, usercpu_time_millis_testing: 6.408, usercpu_time_millis_training: 126.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6315, kappa: 0.2631, kb_relative_information_score: 113.9701, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6316, predictive_accuracy: 0.6315, prior_entropy: 1, recall: 0.6315, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1289.9043, usercpu_time_millis: 77.444, usercpu_time_millis_testing: 4.348, usercpu_time_millis_training: 73.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.6248, kappa: 0.25, kb_relative_information_score: 127.9835, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6252, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1286.5796, usercpu_time_millis: 78.505, usercpu_time_millis_testing: 4.4, usercpu_time_millis_training: 74.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 103.42, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6166, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9739, scimark_benchmark: 1290.1028, usercpu_time_millis: 60.321, usercpu_time_millis_testing: 4.033, usercpu_time_millis_training: 56.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5535, kappa: 0.1069, kb_relative_information_score: 38.7242, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5535, predictive_accuracy: 0.5535, prior_entropy: 1, recall: 0.5535, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1295.0423, usercpu_time_millis: 27.64, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 25.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6552, kappa: 0.3115, kb_relative_information_score: 177.1638, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6569, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9551, scimark_benchmark: 1282.7636, usercpu_time_millis: 222.78, usercpu_time_millis_testing: 9.438, usercpu_time_millis_training: 213.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.6685, kappa: 0.3385, kb_relative_information_score: 218.6475, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6708, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9449, scimark_benchmark: 1294.7655, usercpu_time_millis: 249.404, usercpu_time_millis_testing: 9.081, usercpu_time_millis_training: 240.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7102, kappa: 0.4231, kb_relative_information_score: 304.235, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7156, predictive_accuracy: 0.7115, prior_entropy: 1, recall: 0.7115, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9221, scimark_benchmark: 1283.8098, usercpu_time_millis: 345.728, usercpu_time_millis_testing: 9.327, usercpu_time_millis_training: 336.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6879, kappa: 0.3785, kb_relative_information_score: 250.6474, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6924, predictive_accuracy: 0.6892, prior_entropy: 1, recall: 0.6892, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9363, scimark_benchmark: 1301.3099, usercpu_time_millis: 324.984, usercpu_time_millis_testing: 8.669, usercpu_time_millis_training: 316.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6149, kappa: 0.23, kb_relative_information_score: 80.7296, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6151, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1268.679, usercpu_time_millis: 67.265, usercpu_time_millis_testing: 4.928, usercpu_time_millis_training: 62.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 82.3443, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6173, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1290.4161, usercpu_time_millis: 64.622, usercpu_time_millis_testing: 4.721, usercpu_time_millis_training: 59.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6034, kappa: 0.2069, kb_relative_information_score: 17.4629, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6035, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1289.8508, usercpu_time_millis: 61.713, usercpu_time_millis_testing: 6.54, usercpu_time_millis_training: 55.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.6513, kappa: 0.3031, kb_relative_information_score: 182.84, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.652, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9545, scimark_benchmark: 1268.2159, usercpu_time_millis: 62.386, usercpu_time_millis_testing: 3.316, usercpu_time_millis_training: 59.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6422, kappa: 0.2854, kb_relative_information_score: 179.0575, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6435, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 1284.7399, usercpu_time_millis: 111.15, usercpu_time_millis_testing: 5.014, usercpu_time_millis_training: 106.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6415, kappa: 0.2838, kb_relative_information_score: 147.0346, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6425, predictive_accuracy: 0.6419, prior_entropy: 1, recall: 0.6419, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9629, scimark_benchmark: 1286.5926, usercpu_time_millis: 147.861, usercpu_time_millis_testing: 7.581, usercpu_time_millis_training: 140.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.55, kappa: 0.1, kb_relative_information_score: 17.4673, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.55, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1279.0629, usercpu_time_millis: 12.023, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 10.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6778, kappa: 0.3569, kb_relative_information_score: 244.7775, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6798, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9377, scimark_benchmark: 1283.807, usercpu_time_millis: 118.939, usercpu_time_millis_testing: 3.977, usercpu_time_millis_training: 114.962,
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: 0.6849, f_measure: 0.6268, kappa: 0.2538, kb_relative_information_score: 82.4031, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.627, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9791, scimark_benchmark: 1297.0298, usercpu_time_millis: 217.436, usercpu_time_millis_testing: 13.466, usercpu_time_millis_training: 203.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.6187, kappa: 0.2377, kb_relative_information_score: 122.5294, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.619, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9696, scimark_benchmark: 1299.6401, usercpu_time_millis: 18.174, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 16.87,

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