Task
Supervised Classification on sleuth_case2002

Supervised Classification on sleuth_case2002

Task 3765 Supervised Classification sleuth_case2002 817 runs submitted
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  • 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: 0.6439, f_measure: 0.6984, kappa: 0.408, kb_relative_information_score: 32.2218, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7178, predictive_accuracy: 0.7007, prior_entropy: 0.9974, recall: 0.7007, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6872, kappa: 0.376, kb_relative_information_score: 36.6197, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6914, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6799, kappa: 0.364, kb_relative_information_score: 37.8583, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6873, predictive_accuracy: 0.6803, prior_entropy: 0.9974, recall: 0.6803, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.6667, kappa: 0.3358, kb_relative_information_score: 26.5636, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6717, predictive_accuracy: 0.6667, prior_entropy: 0.9974, recall: 0.6667, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.6464, kappa: 0.2946, kb_relative_information_score: 24.7652, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6504, predictive_accuracy: 0.6463, prior_entropy: 0.9974, recall: 0.6463, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.599, kappa: 0.1976, kb_relative_information_score: 20.5876, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6008, predictive_accuracy: 0.5986, prior_entropy: 0.9974, recall: 0.5986, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.5718, kappa: 0.1418, kb_relative_information_score: 22.9797, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5726, predictive_accuracy: 0.5714, prior_entropy: 0.9974, recall: 0.5714, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.6733, kappa: 0.3499, kb_relative_information_score: 22.7688, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6794, predictive_accuracy: 0.6735, prior_entropy: 0.9974, recall: 0.6735, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7134, kappa: 0.4331, kb_relative_information_score: 25.4932, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7256, predictive_accuracy: 0.7143, prior_entropy: 0.9974, recall: 0.7143, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.565, kappa: 0.1303, kb_relative_information_score: 19.0637, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5672, predictive_accuracy: 0.5646, prior_entropy: 0.9974, recall: 0.5646, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.7193, kappa: 0.4479, kb_relative_information_score: 36.4597, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7373, predictive_accuracy: 0.7211, prior_entropy: 0.9974, recall: 0.7211, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6187, kappa: 0.2339, kb_relative_information_score: 20.2295, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6185, predictive_accuracy: 0.619, prior_entropy: 0.9974, recall: 0.619, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7193, kappa: 0.4479, kb_relative_information_score: 36.7502, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7373, predictive_accuracy: 0.7211, prior_entropy: 0.9974, recall: 0.7211, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6602, kappa: 0.3194, kb_relative_information_score: 37.1523, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6615, predictive_accuracy: 0.6599, prior_entropy: 0.9974, recall: 0.6599, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.626, kappa: 0.2495, kb_relative_information_score: 25.1047, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6262, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6534, kappa: 0.3064, kb_relative_information_score: 16.0819, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6552, predictive_accuracy: 0.6531, prior_entropy: 0.9974, recall: 0.6531, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3679, kb_relative_information_score: -0.0338, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.2815, predictive_accuracy: 0.5306, prior_entropy: 0.9974, recall: 0.5306, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6376, kappa: 0.2719, kb_relative_information_score: 34.2328, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6386, predictive_accuracy: 0.6395, prior_entropy: 0.9974, recall: 0.6395, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6329, kappa: 0.2638, kb_relative_information_score: 22.2754, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6334, predictive_accuracy: 0.6327, prior_entropy: 0.9974, recall: 0.6327, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.6595, kappa: 0.316, kb_relative_information_score: 34.5438, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6594, predictive_accuracy: 0.6599, prior_entropy: 0.9974, recall: 0.6599, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6806, kappa: 0.3608, kb_relative_information_score: 30.2735, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6824, predictive_accuracy: 0.6803, prior_entropy: 0.9974, recall: 0.6803, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6733, kappa: 0.3499, kb_relative_information_score: 37.9065, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6794, predictive_accuracy: 0.6735, prior_entropy: 0.9974, recall: 0.6735, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.6478, kappa: 0.3167, kb_relative_information_score: 25.2991, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6762, predictive_accuracy: 0.6531, prior_entropy: 0.9974, recall: 0.6531, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.6733, kappa: 0.3499, kb_relative_information_score: 37.5147, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6794, predictive_accuracy: 0.6735, prior_entropy: 0.9974, recall: 0.6735, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.6667, kappa: 0.3358, kb_relative_information_score: 30.7386, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6717, predictive_accuracy: 0.6667, prior_entropy: 0.9974, recall: 0.6667, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.6478, kappa: 0.3167, kb_relative_information_score: 25.2991, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6762, predictive_accuracy: 0.6531, prior_entropy: 0.9974, recall: 0.6531, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.6997, kappa: 0.4061, kb_relative_information_score: 58.5244, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7116, predictive_accuracy: 0.7007, prior_entropy: 0.9974, recall: 0.7007, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6872, kappa: 0.376, kb_relative_information_score: 54.5033, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6914, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6866, kappa: 0.378, kb_relative_information_score: 54.5033, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6953, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.6872, kappa: 0.376, kb_relative_information_score: 36.4197, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6914, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6252, kappa: 0.247, kb_relative_information_score: 22.4517, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6251, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6733, kappa: 0.3499, kb_relative_information_score: 37.9065, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6794, predictive_accuracy: 0.6735, prior_entropy: 0.9974, recall: 0.6735, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.5956, kappa: 0.1881, kb_relative_information_score: 11.6227, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5971, predictive_accuracy: 0.5986, prior_entropy: 0.9974, recall: 0.5986, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5901, kappa: 0.1765, kb_relative_information_score: 19.71, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5904, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.6252, kappa: 0.247, kb_relative_information_score: 35.4003, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6251, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6131, root_relative_squared_error: 1.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.4898, kappa: -0.0166, kb_relative_information_score: -3.8032, mean_absolute_error: 0.5102, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.4935, predictive_accuracy: 0.4898, prior_entropy: 0.9974, recall: 0.4898, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7143, root_relative_squared_error: 1.4313, scimark_benchmark: 1280.301, usercpu_time_millis: 7484.375, usercpu_time_millis_training: 7484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6737, kappa: 0.3478, kb_relative_information_score: 50.4822, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6763, predictive_accuracy: 0.6735, prior_entropy: 0.9974, recall: 0.6735, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5714, root_relative_squared_error: 1.145, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6459, kappa: 0.2887, kb_relative_information_score: 42.4399, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6458, predictive_accuracy: 0.6463, prior_entropy: 0.9974, recall: 0.6463, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5948, root_relative_squared_error: 1.1918, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.2815, predictive_accuracy: 0.5306, prior_entropy: 0.9974, recall: 0.5306, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.585, kappa: 0.1967, kb_relative_information_score: 17.4433, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6111, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0202, scimark_benchmark: 1787.9841, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.585, kappa: 0.1967, kb_relative_information_score: 17.4433, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6111, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0202, scimark_benchmark: 1346.8911, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.2815, predictive_accuracy: 0.5306, prior_entropy: 0.9974, recall: 0.5306, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1553.2357, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.4898, kappa: -0.0166, kb_relative_information_score: -3.8032, mean_absolute_error: 0.5102, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.4935, predictive_accuracy: 0.4898, prior_entropy: 0.9974, recall: 0.4898, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7143, root_relative_squared_error: 1.4313, scimark_benchmark: 1655.6121, usercpu_time_millis: 4690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4680,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6869, kappa: 0.377, kb_relative_information_score: 54.5033, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6932, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1209, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6872, kappa: 0.376, kb_relative_information_score: 54.5033, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6914, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1209, scimark_benchmark: 1375.102, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6984, kappa: 0.408, kb_relative_information_score: 32.2218, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7178, predictive_accuracy: 0.7007, prior_entropy: 0.9974, recall: 0.7007, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9228, scimark_benchmark: 1069.3342, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6448, kappa: 0.2863, kb_relative_information_score: 28.0037, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6454, predictive_accuracy: 0.6463, prior_entropy: 0.9974, recall: 0.6463, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9501, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6029, kappa: 0.2026, kb_relative_information_score: 30.0743, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.604, predictive_accuracy: 0.6054, prior_entropy: 0.9974, recall: 0.6054, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0497, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.5702, kappa: 0.1506, kb_relative_information_score: 24.0473, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5855, predictive_accuracy: 0.585, prior_entropy: 0.9974, recall: 0.585, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1131, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.5902, kappa: 0.1826, kb_relative_information_score: 16.9209, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5982, predictive_accuracy: 0.5986, prior_entropy: 0.9974, recall: 0.5986, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9752, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.6737, kappa: 0.3456, kb_relative_information_score: 37.7272, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6741, predictive_accuracy: 0.6735, prior_entropy: 0.9974, recall: 0.6735, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9221, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.6329, kappa: 0.2638, kb_relative_information_score: 22.2162, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6334, predictive_accuracy: 0.6327, prior_entropy: 0.9974, recall: 0.6327, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0169, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.6262, kappa: 0.252, kb_relative_information_score: 36.4082, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.628, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.2257, usercpu_time_millis: 2.369, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.667, kappa: 0.3336, kb_relative_information_score: 48.4716, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6688, predictive_accuracy: 0.6667, prior_entropy: 0.9974, recall: 0.6667, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1569, usercpu_time_millis: 1.873, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6534, kappa: 0.3053, kb_relative_information_score: 44.4505, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6542, predictive_accuracy: 0.6531, prior_entropy: 0.9974, recall: 0.6531, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.589, root_relative_squared_error: 1.1802, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.599, kappa: 0.1976, kb_relative_information_score: 28.3659, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6008, predictive_accuracy: 0.5986, prior_entropy: 0.9974, recall: 0.5986, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.2694, usercpu_time_millis: 0.723, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7049, kappa: 0.4219, kb_relative_information_score: 60.535, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7267, predictive_accuracy: 0.7075, prior_entropy: 0.9974, recall: 0.7075, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5408, root_relative_squared_error: 1.0837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.6931, kappa: 0.3921, kb_relative_information_score: 56.5139, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7034, predictive_accuracy: 0.6939, prior_entropy: 0.9974, recall: 0.6939, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.1086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6669, kappa: 0.3325, kb_relative_information_score: 48.4716, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6678, predictive_accuracy: 0.6667, prior_entropy: 0.9974, recall: 0.6667, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1569, scimark_benchmark: 1870.7932,

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