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OpenML
OpenML
Supervised Classification on fri_c4_1000_50

Supervised Classification on fri_c4_1000_50

Task 3662 Supervised Classification fri_c4_1000_50 408 runs submitted
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Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.5476, kappa: 0.0801, kb_relative_information_score: 66.5471, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5468, predictive_accuracy: 0.549, prior_entropy: 0.9896, recall: 0.549, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.1024, scimark_benchmark: 939.5088, usercpu_time_millis: 800, usercpu_time_millis_testing: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.363, kappa: 0.0686, kb_relative_information_score: -53.724, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7288, predictive_accuracy: 0.484, prior_entropy: 0.9896, recall: 0.484, relative_absolute_error: 1.047, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7183, root_relative_squared_error: 1.4471, scimark_benchmark: 1312.3073, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.4562, kappa: 0.0418, kb_relative_information_score: 128.0158, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5999, predictive_accuracy: 0.573, prior_entropy: 0.9896, recall: 0.573, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3164, scimark_benchmark: 887.6719, usercpu_time_millis: 1270, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6291, kappa: 0.2452, kb_relative_information_score: 246.4529, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6286, predictive_accuracy: 0.631, prior_entropy: 0.9896, recall: 0.631, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2238, scimark_benchmark: 1297.6599, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6294, kappa: 0.2452, kb_relative_information_score: 150.7077, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6296, predictive_accuracy: 0.633, prior_entropy: 0.9896, recall: 0.633, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9364, scimark_benchmark: 1386.5717, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.642, kappa: 0.2722, kb_relative_information_score: 270.9571, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6415, predictive_accuracy: 0.643, prior_entropy: 0.9896, recall: 0.643, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5975, root_relative_squared_error: 1.2037, scimark_benchmark: 1331.6907, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.6251, kappa: 0.2377, kb_relative_information_score: 195.7508, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6245, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9915, scimark_benchmark: 869.6028, usercpu_time_millis: 9630, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 9200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8444, kappa: 0.6835, kb_relative_information_score: 611.9665, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8449, predictive_accuracy: 0.845, prior_entropy: 0.9896, recall: 0.845, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6576, scimark_benchmark: 1304.9611, usercpu_time_millis: 770, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.837, kappa: 0.6693, kb_relative_information_score: 613.8489, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7214, scimark_benchmark: 1372.2145, usercpu_time_millis: 1130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188, scimark_benchmark: 1327.8711, usercpu_time_millis: 830, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7363, kappa: 0.4656, kb_relative_information_score: 460.8649, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7367, predictive_accuracy: 0.736, prior_entropy: 0.9896, recall: 0.736, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0351, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8434, kappa: 0.6833, kb_relative_information_score: 608.3558, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8448, predictive_accuracy: 0.843, prior_entropy: 0.9896, recall: 0.843, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7163, scimark_benchmark: 1306.6379, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.852, kappa: 0.6995, kb_relative_information_score: 606.2747, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9896, recall: 0.852, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7063, scimark_benchmark: 1327.6929, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5241, kappa: 0.081, kb_relative_information_score: 136.1838, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5683, predictive_accuracy: 0.577, prior_entropy: 0.9896, recall: 0.577, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.3102, scimark_benchmark: 1359.379, usercpu_time_millis: 1080, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2689, kb_relative_information_score: -143.5728, mean_absolute_error: 0.56, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.1936, predictive_accuracy: 0.44, prior_entropy: 0.9896, recall: 0.44, relative_absolute_error: 1.1363, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7483, root_relative_squared_error: 1.5076, scimark_benchmark: 1292.2426, usercpu_time_millis: 1280, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8362, kappa: 0.6683, kb_relative_information_score: 645.7079, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 0.9896, recall: 0.836, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7827, scimark_benchmark: 1358.4523, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7685, kappa: 0.5295, kb_relative_information_score: 528.2515, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7684, predictive_accuracy: 0.769, prior_entropy: 0.9896, recall: 0.769, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9682, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8385, kappa: 0.6741, kb_relative_information_score: 669.1509, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8412, predictive_accuracy: 0.838, prior_entropy: 0.9896, recall: 0.838, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8108, scimark_benchmark: 1353.5686, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8327, kappa: 0.6599, kb_relative_information_score: 649.2233, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8327, predictive_accuracy: 0.833, prior_entropy: 0.9896, recall: 0.833, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8023, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.678, kappa: 0.3442, kb_relative_information_score: 319.8812, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6789, predictive_accuracy: 0.681, prior_entropy: 0.9896, recall: 0.681, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.0742, scimark_benchmark: 931.2336, usercpu_time_millis: 640, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.6685, kappa: 0.3249, kb_relative_information_score: 229.8766, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6696, predictive_accuracy: 0.672, prior_entropy: 0.9896, recall: 0.672, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9736, scimark_benchmark: 945.6434, usercpu_time_millis: 1170, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6652, kappa: 0.3182, kb_relative_information_score: 216.2831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6665, predictive_accuracy: 0.669, prior_entropy: 0.9896, recall: 0.669, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9473, scimark_benchmark: 941.7954, usercpu_time_millis: 450, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6652, kappa: 0.3182, kb_relative_information_score: 216.2831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6665, predictive_accuracy: 0.669, prior_entropy: 0.9896, recall: 0.669, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9473, scimark_benchmark: 923.7642, usercpu_time_millis: 450, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6652, kappa: 0.3182, kb_relative_information_score: 216.2831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6665, predictive_accuracy: 0.669, prior_entropy: 0.9896, recall: 0.669, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9473, scimark_benchmark: 894.7455, usercpu_time_millis: 450, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8716, kappa: 0.7389, kb_relative_information_score: 734.4997, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9896, recall: 0.872, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6418, scimark_benchmark: 936.6206, usercpu_time_millis: 3210, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8647, kappa: 0.7251, kb_relative_information_score: 703.1602, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8648, predictive_accuracy: 0.865, prior_entropy: 0.9896, recall: 0.865, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6701, scimark_benchmark: 943.2817, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8244, kappa: 0.6429, kb_relative_information_score: 626.9712, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8247, predictive_accuracy: 0.825, prior_entropy: 0.9896, recall: 0.825, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7397, scimark_benchmark: 938.2848, usercpu_time_millis: 870, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7696, kappa: 0.5317, kb_relative_information_score: 497.3656, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7694, predictive_accuracy: 0.77, prior_entropy: 0.9896, recall: 0.77, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8373, scimark_benchmark: 933.8635, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7196, kappa: 0.433, kb_relative_information_score: 428.3149, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.721, predictive_accuracy: 0.719, prior_entropy: 0.9896, recall: 0.719, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9724, scimark_benchmark: 938.9865, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8849, kappa: 0.7664, kb_relative_information_score: 722.7412, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8849, predictive_accuracy: 0.885, prior_entropy: 0.9896, recall: 0.885, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5833, scimark_benchmark: 936.6206, usercpu_time_millis: 1580, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8678, kappa: 0.7315, kb_relative_information_score: 602.5553, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9896, recall: 0.868, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6164, scimark_benchmark: 947.9494, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8572, kappa: 0.7094, kb_relative_information_score: 511.3136, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 0.9896, recall: 0.858, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6759, scimark_benchmark: 929.566, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.5977, kappa: 0.2502, kb_relative_information_score: 148.5106, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6633, predictive_accuracy: 0.609, prior_entropy: 0.9896, recall: 0.609, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9684, scimark_benchmark: 929.566, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8577, kappa: 0.7107, kb_relative_information_score: 548.8485, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9896, recall: 0.858, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6623, scimark_benchmark: 943.6956, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8173, kappa: 0.6302, kb_relative_information_score: 447.4649, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8181, predictive_accuracy: 0.817, prior_entropy: 0.9896, recall: 0.817, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7342, scimark_benchmark: 902.4773, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8572, kappa: 0.7094, kb_relative_information_score: 511.3136, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 0.9896, recall: 0.858, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6759, scimark_benchmark: 911.0478, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 101.4695, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8327, kappa: 0.6599, kb_relative_information_score: 649.2233, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8327, predictive_accuracy: 0.833, prior_entropy: 0.9896, recall: 0.833, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8023, scimark_benchmark: 904.3001, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8698, kappa: 0.7354, kb_relative_information_score: 433.3901, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9896, recall: 0.87, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7024, scimark_benchmark: 947.9494, usercpu_time_millis: 3580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7293, kappa: 0.4516, kb_relative_information_score: 218.7788, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7298, predictive_accuracy: 0.729, prior_entropy: 0.9896, recall: 0.729, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.882, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 101.4695, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 941.7954, usercpu_time_millis: 1320, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.4562, kappa: 0.0418, kb_relative_information_score: 128.0158, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5999, predictive_accuracy: 0.573, prior_entropy: 0.9896, recall: 0.573, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3164, scimark_benchmark: 941.8057, usercpu_time_millis: 1260, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8634, kappa: 0.7239, kb_relative_information_score: 671.6156, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8652, predictive_accuracy: 0.863, prior_entropy: 0.9896, recall: 0.863, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6928, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9079, kappa: 0.813, kb_relative_information_score: 812.0007, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9896, recall: 0.908, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6063, scimark_benchmark: 945.3151, usercpu_time_millis: 16160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 16100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9028, kappa: 0.8025, kb_relative_information_score: 802.0902, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.903, predictive_accuracy: 0.903, prior_entropy: 0.9896, recall: 0.903, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6248, scimark_benchmark: 929.566, usercpu_time_millis: 31800, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 31630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8709, kappa: 0.7378, kb_relative_information_score: 724.941, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9896, recall: 0.871, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6756, scimark_benchmark: 943.2817, usercpu_time_millis: 3490, usercpu_time_millis_training: 3490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6273, kappa: 0.2513, kb_relative_information_score: 156.924, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6326, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9766, scimark_benchmark: 917.1386, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8899, kappa: 0.7764, kb_relative_information_score: 743.1607, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 0.9896, recall: 0.89, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6274, scimark_benchmark: 935.8986, usercpu_time_millis: 3230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.4562, kappa: 0.0418, kb_relative_information_score: 128.0158, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5999, predictive_accuracy: 0.573, prior_entropy: 0.9896, recall: 0.573, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3164, scimark_benchmark: 934.6252, usercpu_time_millis: 1660, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6361, kappa: 0.2659, kb_relative_information_score: 254.621, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.639, predictive_accuracy: 0.635, prior_entropy: 0.9896, recall: 0.635, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2171, scimark_benchmark: 934.5243, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,

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