Task
Supervised Classification on anthracyclineTaxaneChemotherapy

Supervised Classification on anthracyclineTaxaneChemotherapy

Task 3932 Supervised Classification anthracyclineTaxaneChemotherapy 47 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

47 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.5403, kappa: 0.043, kb_relative_information_score: 0.9836, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5397, predictive_accuracy: 0.5409, prior_entropy: 0.9731, recall: 0.5409, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.4994, kappa: -0.0463, kb_relative_information_score: -12.6499, mean_absolute_error: 0.5129, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4966, predictive_accuracy: 0.5031, prior_entropy: 0.9731, recall: 0.5031, relative_absolute_error: 1.0659, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6971, root_relative_squared_error: 1.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5297, kappa: 0.0133, kb_relative_information_score: -0.3781, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5258, predictive_accuracy: 0.5472, prior_entropy: 0.9731, recall: 0.5472, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, kb_relative_information_score: 0.4949, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.4812, number_of_instances: 159, predictive_accuracy: 0.5975, prior_entropy: 0.9731, recall: 0.5975, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4581, kappa: -0.025, kb_relative_information_score: 17.4301, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4688, predictive_accuracy: 0.5786, prior_entropy: 0.9731, recall: 0.5786, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6491, root_relative_squared_error: 1.3237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.5066, kappa: 0.0042, kb_relative_information_score: 6.2563, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5223, predictive_accuracy: 0.5723, prior_entropy: 0.9731, recall: 0.5723, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.5761, kappa: 0.154, kb_relative_information_score: 15.7882, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.598, predictive_accuracy: 0.5723, prior_entropy: 0.9731, recall: 0.5723, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6514, root_relative_squared_error: 1.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.4469, kb_relative_information_score: 0.1673, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.357, predictive_accuracy: 0.5975, prior_entropy: 0.9731, recall: 0.5975, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.5104, kappa: -0.0251, kb_relative_information_score: 1.1712, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5057, predictive_accuracy: 0.5346, prior_entropy: 0.9731, recall: 0.5346, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5211, kappa: -0.0037, kb_relative_information_score: 0.5396, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5172, predictive_accuracy: 0.5283, prior_entropy: 0.9731, recall: 0.5283, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6868, root_relative_squared_error: 1.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4734, f_measure: 0.5039, kappa: -0.0413, kb_relative_information_score: -7.3039, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4985, predictive_accuracy: 0.5157, prior_entropy: 0.9731, recall: 0.5157, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0185, scimark_benchmark: 1342.849, usercpu_time_millis: 2563450, usercpu_time_millis_testing: 980670, usercpu_time_millis_training: 1582780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.6008, kappa: 0.1656, kb_relative_information_score: 25.8754, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.599, predictive_accuracy: 0.6038, prior_entropy: 0.9731, recall: 0.6038, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6295, root_relative_squared_error: 1.2836, scimark_benchmark: 1006.0909, usercpu_time_millis: 21710, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 21380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.5192, kappa: -0.004, kb_relative_information_score: -7.5719, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5171, predictive_accuracy: 0.522, prior_entropy: 0.9731, recall: 0.522, relative_absolute_error: 1.0298, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0161, scimark_benchmark: 1122.6859, usercpu_time_millis: 3506460, usercpu_time_millis_testing: 1318180, usercpu_time_millis_training: 2188280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.4912, kappa: -0.0564, kb_relative_information_score: -12.1485, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4919, predictive_accuracy: 0.4906, prior_entropy: 0.9731, recall: 0.4906, relative_absolute_error: 1.0588, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4554, scimark_benchmark: 1247.4154, usercpu_time_millis: 13520, usercpu_time_millis_testing: 6450, usercpu_time_millis_training: 7070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5994, kappa: 0.1613, kb_relative_information_score: 25.8754, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5973, predictive_accuracy: 0.6038, prior_entropy: 0.9731, recall: 0.6038, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6295, root_relative_squared_error: 1.2836, scimark_benchmark: 1465.3713, usercpu_time_millis: 6490, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 6210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.6008, kappa: 0.1656, kb_relative_information_score: 25.8754, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.599, predictive_accuracy: 0.6038, prior_entropy: 0.9731, recall: 0.6038, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6295, root_relative_squared_error: 1.2836, scimark_benchmark: 1176.2143, usercpu_time_millis: 15300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 15100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.5183, kappa: 0.0058, kb_relative_information_score: -3.7345, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5218, predictive_accuracy: 0.5157, prior_entropy: 0.9731, recall: 0.5157, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6911, root_relative_squared_error: 1.4093, scimark_benchmark: 1312.6794, usercpu_time_millis: 15400, usercpu_time_millis_testing: 10750, usercpu_time_millis_training: 4650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.6233, kappa: 0.2104, kb_relative_information_score: 31.0635, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.6217, predictive_accuracy: 0.6289, prior_entropy: 0.9731, recall: 0.6289, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2079, scimark_benchmark: 1383.7638, usercpu_time_millis: 299650, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 299600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4178, f_measure: 0.4749, kappa: -0.0818, kb_relative_information_score: -12.7498, mean_absolute_error: 0.5069, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4794, predictive_accuracy: 0.4717, prior_entropy: 0.9731, recall: 0.4717, relative_absolute_error: 1.0532, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6587, root_relative_squared_error: 1.3432, scimark_benchmark: 1013.4252, usercpu_time_millis: 20180, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4257, f_measure: 0.4608, kappa: -0.0609, kb_relative_information_score: -7.7853, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4559, predictive_accuracy: 0.5535, prior_entropy: 0.9731, recall: 0.5535, relative_absolute_error: 1.0407, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.098, scimark_benchmark: 840.4398, usercpu_time_millis: 11560, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 11480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.4899, kappa: -0.0191, kb_relative_information_score: -0.7322, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5025, predictive_accuracy: 0.566, prior_entropy: 0.9731, recall: 0.566, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0062, scimark_benchmark: 1130.5747, usercpu_time_millis: 13690, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 13610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4683, f_measure: 0.4469, kb_relative_information_score: -0.1623, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.357, predictive_accuracy: 0.5975, prior_entropy: 0.9731, recall: 0.5975, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0004, scimark_benchmark: 1133.8133, usercpu_time_millis: 18180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 18100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.519, kappa: 0.0108, kb_relative_information_score: -3.9997, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5243, predictive_accuracy: 0.5157, prior_entropy: 0.9731, recall: 0.5157, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6915, root_relative_squared_error: 1.41, scimark_benchmark: 1186.5082, usercpu_time_millis: 17250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 17200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.4912, kappa: -0.0564, kb_relative_information_score: -12.1485, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4919, predictive_accuracy: 0.4906, prior_entropy: 0.9731, recall: 0.4906, relative_absolute_error: 1.0588, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4554, scimark_benchmark: 1314.5584, usercpu_time_millis: 11570, usercpu_time_millis_testing: 5640, usercpu_time_millis_training: 5930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.6064, kappa: 0.1767, kb_relative_information_score: 27.9867, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.6045, predictive_accuracy: 0.6101, prior_entropy: 0.9731, recall: 0.6101, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6244, root_relative_squared_error: 1.2733, scimark_benchmark: 1296.3262, usercpu_time_millis: 6440, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 6150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.5183, kappa: 0.0058, kb_relative_information_score: -3.7345, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5218, predictive_accuracy: 0.5157, prior_entropy: 0.9731, recall: 0.5157, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6911, root_relative_squared_error: 1.4093, scimark_benchmark: 1114.6287, usercpu_time_millis: 20770, usercpu_time_millis_testing: 14910, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.6233, kappa: 0.2104, kb_relative_information_score: 31.0635, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.6217, predictive_accuracy: 0.6289, prior_entropy: 0.9731, recall: 0.6289, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2079, scimark_benchmark: 1102.7511, usercpu_time_millis: 332330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 332290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4688, f_measure: 0.5106, kappa: -0.0147, kb_relative_information_score: -4.3094, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5119, predictive_accuracy: 0.5094, prior_entropy: 0.9731, recall: 0.5094, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.2545, scimark_benchmark: 814.3974, usercpu_time_millis: 30200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4392, f_measure: 0.4721, kappa: -0.0429, kb_relative_information_score: -6.2554, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4768, predictive_accuracy: 0.5597, prior_entropy: 0.9731, recall: 0.5597, relative_absolute_error: 1.0323, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0907, scimark_benchmark: 472.2371, usercpu_time_millis: 9590, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 9530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4778, f_measure: 0.4382, kappa: -0.1142, kb_relative_information_score: -2.9881, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4119, predictive_accuracy: 0.5283, prior_entropy: 0.9731, recall: 0.5283, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0211, scimark_benchmark: 560.4876, usercpu_time_millis: 14850, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 14780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4683, f_measure: 0.4469, kb_relative_information_score: -0.1623, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.357, predictive_accuracy: 0.5975, prior_entropy: 0.9731, recall: 0.5975, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0004, scimark_benchmark: 973.0325, usercpu_time_millis: 18540, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 18460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, f_measure: 0.5327, kappa: 0.0508, kb_relative_information_score: 0.7463, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5441, predictive_accuracy: 0.5283, prior_entropy: 0.9731, recall: 0.5283, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6801, root_relative_squared_error: 1.3868, scimark_benchmark: 954.5082, usercpu_time_millis: 19680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 19630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.6233, kappa: 0.2104, kb_relative_information_score: 31.0635, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.6217, predictive_accuracy: 0.6289, prior_entropy: 0.9731, recall: 0.6289, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2079, scimark_benchmark: 1373.3364, usercpu_time_millis: 295760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 295740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4516, f_measure: 0.4997, kappa: -0.0364, kb_relative_information_score: -8.4776, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4973, predictive_accuracy: 0.5409, prior_entropy: 0.9731, recall: 0.5409, relative_absolute_error: 1.0343, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0297, scimark_benchmark: 1406.5926, usercpu_time_millis: 2098390, usercpu_time_millis_testing: 839970, usercpu_time_millis_training: 1258420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4768, kappa: -0.082, kb_relative_information_score: -8.079, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4692, predictive_accuracy: 0.522, prior_entropy: 0.9731, recall: 0.522, relative_absolute_error: 1.0325, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6103, root_relative_squared_error: 1.2445, scimark_benchmark: 1510.8888, usercpu_time_millis: 16970, usercpu_time_millis_testing: 16960, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.5399, kappa: 0.0355, kb_relative_information_score: -6.5851, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5375, predictive_accuracy: 0.5597, prior_entropy: 0.9731, recall: 0.5597, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0587, scimark_benchmark: 1262.3206, usercpu_time_millis: 39340, usercpu_time_millis_testing: 39330, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4604, f_measure: 0.4956, kappa: -0.0572, kb_relative_information_score: -10.0293, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4911, predictive_accuracy: 0.5031, prior_entropy: 0.9731, recall: 0.5031, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5551, root_relative_squared_error: 1.1319, scimark_benchmark: 1291.0866, usercpu_time_millis: 33220, usercpu_time_millis_testing: 33220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.6064, kappa: 0.1767, kb_relative_information_score: 27.9867, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.6045, predictive_accuracy: 0.6101, prior_entropy: 0.9731, recall: 0.6101, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6244, root_relative_squared_error: 1.2733, scimark_benchmark: 1381.6251, usercpu_time_millis: 3010, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.6008, kappa: 0.1656, kb_relative_information_score: 25.8754, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.599, predictive_accuracy: 0.6038, prior_entropy: 0.9731, recall: 0.6038, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6295, root_relative_squared_error: 1.2836, scimark_benchmark: 922.2904, usercpu_time_millis: 16020, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 15580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4684, f_measure: 0.4705, kappa: -0.0653, kb_relative_information_score: -12.8623, mean_absolute_error: 0.5075, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4861, predictive_accuracy: 0.4654, prior_entropy: 0.9731, recall: 0.4654, relative_absolute_error: 1.0547, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6459, root_relative_squared_error: 1.317, scimark_benchmark: 1085.4307, usercpu_time_millis: 15590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 15560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4683, f_measure: 0.4469, kb_relative_information_score: -0.1623, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.357, predictive_accuracy: 0.5975, prior_entropy: 0.9731, recall: 0.5975, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0004, scimark_benchmark: 881.8601, usercpu_time_millis: 15640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 15610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4528, kappa: -0.0671, kb_relative_information_score: -1.7328, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4407, predictive_accuracy: 0.5535, prior_entropy: 0.9731, recall: 0.5535, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0138, scimark_benchmark: 1063.9316, usercpu_time_millis: 8870, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4257, f_measure: 0.4564, kappa: -0.0552, kb_relative_information_score: -7.0803, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4502, predictive_accuracy: 0.5597, prior_entropy: 0.9731, recall: 0.5597, relative_absolute_error: 1.0373, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0699, scimark_benchmark: 1080.6758, usercpu_time_millis: 3680, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.5183, kappa: 0.0058, kb_relative_information_score: -3.7345, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5218, predictive_accuracy: 0.5157, prior_entropy: 0.9731, recall: 0.5157, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6911, root_relative_squared_error: 1.4093, scimark_benchmark: 1151.1232, usercpu_time_millis: 12350, usercpu_time_millis_testing: 12340, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5264, kappa: 0.0357, kb_relative_information_score: -1.365, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.5366, predictive_accuracy: 0.522, prior_entropy: 0.9731, recall: 0.522, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6836, root_relative_squared_error: 1.3939, scimark_benchmark: 1103.5902, usercpu_time_millis: 12830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.4912, kappa: -0.0564, kb_relative_information_score: -12.1485, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.4919, predictive_accuracy: 0.4906, prior_entropy: 0.9731, recall: 0.4906, relative_absolute_error: 1.0588, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4554, scimark_benchmark: 1850.8887, usercpu_time_millis: 6052.8388, usercpu_time_millis_testing: 3993.6256, usercpu_time_millis_training: 2059.2132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4683, f_measure: 0.4469, kb_relative_information_score: -0.1623, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4812, number_of_instances: 159, precision: 0.357, predictive_accuracy: 0.5975, prior_entropy: 0.9731, recall: 0.5975, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0004, scimark_benchmark: 1850.8887, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,

    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