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Function: require_once

OpenML
Task
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4001 Supervised Classification pc1_req 494 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_107 study_15 study_20 study_7 under100k under1m
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494 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.6532, kappa: 0.1991, kb_relative_information_score: 20.8755, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6518, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0405, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.5057, kappa: 0.1539, kb_relative_information_score: -45.0494, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6796, predictive_accuracy: 0.5156, prior_entropy: 0.9204, recall: 0.5156, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.696, root_relative_squared_error: 1.4752, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, scimark_benchmark: 885.0921, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5447, kappa: 0.0185, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6681, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.6206, kappa: 0.1351, kb_relative_information_score: 19.9504, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6541, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9679, scimark_benchmark: 940.0008, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.6336, kappa: 0.1615, kb_relative_information_score: 84.359, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6645, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1849, scimark_benchmark: 1337.7959, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 923.988, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1307.3269, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.6299, kappa: 0.1462, kb_relative_information_score: 16.3464, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6246, predictive_accuracy: 0.65, prior_entropy: 0.9204, recall: 0.65, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.1282, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.559, kappa: 0.0236, kb_relative_information_score: 2.5993, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5892, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0115, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, f_measure: 0.6015, kappa: 0.097, kb_relative_information_score: 14.2283, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.635, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0092, scimark_benchmark: 1066.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5766, kappa: 0.1591, kb_relative_information_score: -7.4033, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6406, predictive_accuracy: 0.5656, prior_entropy: 0.9204, recall: 0.5656, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.6591, root_relative_squared_error: 1.397, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1676, kb_relative_information_score: -181.5165, mean_absolute_error: 0.6656, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.1118, predictive_accuracy: 0.3344, prior_entropy: 0.9204, recall: 0.3344, relative_absolute_error: 1.4942, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.8159, root_relative_squared_error: 1.7293, scimark_benchmark: 1354.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 24.1362, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.0377, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5361, kappa: -0.0001, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5545, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6026, kappa: 0.0961, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6286, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.6206, kappa: 0.1351, kb_relative_information_score: 30.6442, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6541, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.024, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 940.2922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.6157, kappa: 0.1326, kb_relative_information_score: 71.1311, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6743, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0778, scimark_benchmark: 943.2817, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.6024, kappa: 0.104, kb_relative_information_score: 69.3561, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6515, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.0826, scimark_benchmark: 941.7954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.5752, kappa: 0.0595, kb_relative_information_score: 65.1047, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6413, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.52, root_relative_squared_error: 1.1023, scimark_benchmark: 938.4278, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5695, kappa: 0.0411, kb_relative_information_score: 55.9661, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6055, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0946, scimark_benchmark: 876.8277, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5545, kappa: 0.0178, kb_relative_information_score: 48.8079, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5845, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.1386, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6454, kappa: 0.1811, kb_relative_information_score: 23.5716, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6541, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0152, scimark_benchmark: 943.2817, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.6363, kappa: 0.1606, kb_relative_information_score: 22.7477, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6447, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6243, kappa: 0.1375, kb_relative_information_score: 20.917, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6423, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0011, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.6217, kappa: 0.1327, kb_relative_information_score: 20.9998, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.642, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9864, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 16.248, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9841, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.365, kappa: 0.0614, kb_relative_information_score: -61.4902, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6462, predictive_accuracy: 0.4219, prior_entropy: 0.9204, recall: 0.4219, relative_absolute_error: 1.1126, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.1056, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, build_cpu_time: 0.0106, build_memory: 1292419627.2, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 5.2721, build_memory: 94136903.2, f_measure: 0.6332, kappa: 0.1522, kb_relative_information_score: 15.8874, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6346, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0655, scimark_benchmark: 940.5537,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 5.2806, build_memory: 981362228, f_measure: 0.6332, kappa: 0.1522, kb_relative_information_score: 15.8874, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6346, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0655, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, build_cpu_time: 3.9722, build_memory: 92224830.4, f_measure: 0.6381, kappa: 0.1637, kb_relative_information_score: 17.8198, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6421, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0609, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, build_cpu_time: 1.3214, build_memory: 664939676, f_measure: 0.6215, kappa: 0.1251, kb_relative_information_score: 15.1784, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6194, predictive_accuracy: 0.6531, prior_entropy: 0.9204, recall: 0.6531, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0677, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, build_cpu_time: 0.2072, build_memory: 90119564, f_measure: 0.6264, kappa: 0.1364, kb_relative_information_score: 16.0943, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6263, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0408, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, build_cpu_time: 0.4311, build_memory: 112502400, f_measure: 0.6405, kappa: 0.1695, kb_relative_information_score: 21.0497, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.646, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0375, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, build_cpu_time: 0.7225, build_memory: 269004748, f_measure: 0.6357, kappa: 0.1579, kb_relative_information_score: 17.8933, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6383, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.059, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, build_cpu_time: 0.8918, build_memory: 320261129.6, f_measure: 0.6381, kappa: 0.1637, kb_relative_information_score: 16.1884, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6421, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0662, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, build_cpu_time: 0.999, build_memory: 452246597.6, f_measure: 0.6381, kappa: 0.1637, kb_relative_information_score: 16.3461, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6421, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0668, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, build_cpu_time: 0.0602, build_memory: 289884388.8, f_measure: 0.5926, kappa: 0.066, kb_relative_information_score: 4.9954, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5982, predictive_accuracy: 0.65, prior_entropy: 0.9204, recall: 0.65, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0288, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, build_cpu_time: 0.0508, build_memory: 471999112, f_measure: 0.5926, kappa: 0.066, kb_relative_information_score: 4.9954, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5982, predictive_accuracy: 0.65, prior_entropy: 0.9204, recall: 0.65, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0288, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, build_cpu_time: 0.0623, build_memory: 968024459.2, f_measure: 0.5926, kappa: 0.066, kb_relative_information_score: 4.9954, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5982, predictive_accuracy: 0.65, prior_entropy: 0.9204, recall: 0.65, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0288, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, build_cpu_time: 0.0518, build_memory: 748945514.4, f_measure: 0.5926, kappa: 0.066, kb_relative_information_score: 4.9954, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5982, predictive_accuracy: 0.65, prior_entropy: 0.9204, recall: 0.65, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0288, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, build_cpu_time: 0.0361, build_memory: 1054031678.4, f_measure: 0.5961, kappa: 0.0783, kb_relative_information_score: 5.768, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6112, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0265, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, build_cpu_time: 0.0359, build_memory: 290992112, f_measure: 0.6317, kappa: 0.1502, kb_relative_information_score: 14.8604, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6398, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0423, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, build_cpu_time: 0.0374, build_memory: 437577752, f_measure: 0.6176, kappa: 0.1179, kb_relative_information_score: 15.7959, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6215, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.043, scimark_benchmark: 943.7751,

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