Task
Supervised Classification on GesturePhaseSegmentationProcessed

Supervised Classification on GesturePhaseSegmentationProcessed

Task 14969 Supervised Classification GesturePhaseSegmentationProcessed 13954 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.5166, kappa: 0.3716, kb_relative_information_score: 3873.9145, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5133, predictive_accuracy: 0.5231, prior_entropy: 2.1936, recall: 0.5231, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.5135, kappa: 0.3673, kb_relative_information_score: 3913.5754, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5107, predictive_accuracy: 0.5186, prior_entropy: 2.1936, recall: 0.5186, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.5218, kappa: 0.3776, kb_relative_information_score: 3870.3579, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.519, predictive_accuracy: 0.5271, prior_entropy: 2.1936, recall: 0.5271, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.5254, kappa: 0.3817, kb_relative_information_score: 4104.5603, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5243, predictive_accuracy: 0.5274, prior_entropy: 2.1936, recall: 0.5274, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.5127, kappa: 0.3648, kb_relative_information_score: 3981.5583, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5112, predictive_accuracy: 0.5149, prior_entropy: 2.1936, recall: 0.5149, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.391, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.5128, kappa: 0.3666, kb_relative_information_score: 3777.2641, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5098, predictive_accuracy: 0.5201, prior_entropy: 2.1936, recall: 0.5201, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.5109, kappa: 0.3645, kb_relative_information_score: 3750.8128, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5078, predictive_accuracy: 0.5189, prior_entropy: 2.1936, recall: 0.5189, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5161, kappa: 0.3714, kb_relative_information_score: 3682.1562, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5129, predictive_accuracy: 0.5245, prior_entropy: 2.1936, recall: 0.5245, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.5218, kappa: 0.377, kb_relative_information_score: 3940.5721, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5194, predictive_accuracy: 0.5259, prior_entropy: 2.1936, recall: 0.5259, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.5107, kappa: 0.3628, kb_relative_information_score: 4046.1028, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5099, predictive_accuracy: 0.5122, prior_entropy: 2.1936, recall: 0.5122, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.5264, kappa: 0.3831, kb_relative_information_score: 4051.2339, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5244, predictive_accuracy: 0.5298, prior_entropy: 2.1936, recall: 0.5298, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.5136, kappa: 0.3674, kb_relative_information_score: 3908.0439, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5107, predictive_accuracy: 0.5187, prior_entropy: 2.1936, recall: 0.5187, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.5226, kappa: 0.378, kb_relative_information_score: 3999.7012, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5204, predictive_accuracy: 0.5264, prior_entropy: 2.1936, recall: 0.5264, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5102, kappa: 0.3616, kb_relative_information_score: 4109.3161, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5103, predictive_accuracy: 0.5105, prior_entropy: 2.1936, recall: 0.5105, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.5275, kappa: 0.3844, kb_relative_information_score: 4042.5296, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5253, predictive_accuracy: 0.5311, prior_entropy: 2.1936, recall: 0.5311, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.5147, kappa: 0.369, kb_relative_information_score: 3807.6466, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5117, predictive_accuracy: 0.5219, prior_entropy: 2.1936, recall: 0.5219, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.522, kappa: 0.3773, kb_relative_information_score: 3962.5227, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5198, predictive_accuracy: 0.5259, prior_entropy: 2.1936, recall: 0.5259, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.5122, kappa: 0.3646, kb_relative_information_score: 4066.0389, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5114, predictive_accuracy: 0.5136, prior_entropy: 2.1936, recall: 0.5136, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.5132, kappa: 0.366, kb_relative_information_score: 3992.5273, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5111, predictive_accuracy: 0.5163, prior_entropy: 2.1936, recall: 0.5163, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.5218, kappa: 0.3778, kb_relative_information_score: 3801.4394, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5188, predictive_accuracy: 0.5275, prior_entropy: 2.1936, recall: 0.5275, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.514, kappa: 0.3682, kb_relative_information_score: 3797.1057, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.511, predictive_accuracy: 0.5213, prior_entropy: 2.1936, recall: 0.5213, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.5164, kappa: 0.3703, kb_relative_information_score: 4060.5604, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5148, predictive_accuracy: 0.5189, prior_entropy: 2.1936, recall: 0.5189, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.511, kappa: 0.363, kb_relative_information_score: 3979.4928, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5088, predictive_accuracy: 0.5141, prior_entropy: 2.1936, recall: 0.5141, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.5088, kappa: 0.3604, kb_relative_information_score: 4096.1046, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.509, predictive_accuracy: 0.5096, prior_entropy: 2.1936, recall: 0.5096, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.5123, kappa: 0.3662, kb_relative_information_score: 3755.0378, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5092, predictive_accuracy: 0.5203, prior_entropy: 2.1936, recall: 0.5203, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.5112, kappa: 0.3637, kb_relative_information_score: 3958.6899, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5088, predictive_accuracy: 0.515, prior_entropy: 2.1936, recall: 0.515, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.5115, kappa: 0.3651, kb_relative_information_score: 3752.879, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5084, predictive_accuracy: 0.5195, prior_entropy: 2.1936, recall: 0.5195, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.5155, kappa: 0.3705, kb_relative_information_score: 3846.6763, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5122, predictive_accuracy: 0.5226, prior_entropy: 2.1936, recall: 0.5226, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.5109, kappa: 0.3645, kb_relative_information_score: 3748.1214, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5078, predictive_accuracy: 0.5189, prior_entropy: 2.1936, recall: 0.5189, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5087, kappa: 0.3603, kb_relative_information_score: 4114.5488, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5088, predictive_accuracy: 0.5095, prior_entropy: 2.1936, recall: 0.5095, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.5146, kappa: 0.3676, kb_relative_information_score: 4082.3434, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.514, predictive_accuracy: 0.516, prior_entropy: 2.1936, recall: 0.516, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.5116, kappa: 0.3652, kb_relative_information_score: 3746.2063, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5085, predictive_accuracy: 0.5196, prior_entropy: 2.1936, recall: 0.5196, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.5171, kappa: 0.3711, kb_relative_information_score: 4071.1211, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5154, predictive_accuracy: 0.5196, prior_entropy: 2.1936, recall: 0.5196, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.5196, kappa: 0.3744, kb_relative_information_score: 3883.6974, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5172, predictive_accuracy: 0.524, prior_entropy: 2.1936, recall: 0.524, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.5188, kappa: 0.3735, kb_relative_information_score: 3723.4996, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5161, predictive_accuracy: 0.5245, prior_entropy: 2.1936, recall: 0.5245, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.5138, kappa: 0.3676, kb_relative_information_score: 3914.2512, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.511, predictive_accuracy: 0.5188, prior_entropy: 2.1936, recall: 0.5188, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.5189, kappa: 0.3741, kb_relative_information_score: 3746.3197, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.516, predictive_accuracy: 0.5252, prior_entropy: 2.1936, recall: 0.5252, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.5186, kappa: 0.3731, kb_relative_information_score: 4080.5802, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5175, predictive_accuracy: 0.5208, prior_entropy: 2.1936, recall: 0.5208, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.5223, kappa: 0.3777, kb_relative_information_score: 3960.0332, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5202, predictive_accuracy: 0.5261, prior_entropy: 2.1936, recall: 0.5261, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.5192, kappa: 0.3739, kb_relative_information_score: 3888.4221, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5168, predictive_accuracy: 0.5237, prior_entropy: 2.1936, recall: 0.5237, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.368, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.5189, kappa: 0.3735, kb_relative_information_score: 3875.8691, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5164, predictive_accuracy: 0.5234, prior_entropy: 2.1936, recall: 0.5234, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.5125, kappa: 0.3662, kb_relative_information_score: 3776.7386, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5094, predictive_accuracy: 0.5198, prior_entropy: 2.1936, recall: 0.5198, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.5261, kappa: 0.3826, kb_relative_information_score: 4035.539, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5242, predictive_accuracy: 0.5294, prior_entropy: 2.1936, recall: 0.5294, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.5264, kappa: 0.3829, kb_relative_information_score: 4025.2882, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5241, predictive_accuracy: 0.5303, prior_entropy: 2.1936, recall: 0.5303, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.5158, kappa: 0.3691, kb_relative_information_score: 4032.473, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5141, predictive_accuracy: 0.5185, prior_entropy: 2.1936, recall: 0.5185, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.5228, kappa: 0.379, kb_relative_information_score: 3832.4834, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5199, predictive_accuracy: 0.5284, prior_entropy: 2.1936, recall: 0.5284, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9328,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.5162, kappa: 0.37, kb_relative_information_score: 4058.8676, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5145, predictive_accuracy: 0.5187, prior_entropy: 2.1936, recall: 0.5187, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.5181, kappa: 0.3741, kb_relative_information_score: 3707.6137, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5149, predictive_accuracy: 0.5265, prior_entropy: 2.1936, recall: 0.5265, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.5141, kappa: 0.368, kb_relative_information_score: 3911.8721, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5112, predictive_accuracy: 0.5192, prior_entropy: 2.1936, recall: 0.5192, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.5168, kappa: 0.3704, kb_relative_information_score: 4085.364, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5164, predictive_accuracy: 0.5183, prior_entropy: 2.1936, recall: 0.5183, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3957, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.5145, kappa: 0.369, kb_relative_information_score: 3837.4194, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5112, predictive_accuracy: 0.5215, prior_entropy: 2.1936, recall: 0.5215, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.5264, kappa: 0.3831, kb_relative_information_score: 4004.9053, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5239, predictive_accuracy: 0.5304, prior_entropy: 2.1936, recall: 0.5304, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5213, kappa: 0.3763, kb_relative_information_score: 4082.35, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5202, predictive_accuracy: 0.5234, prior_entropy: 2.1936, recall: 0.5234, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.5163, kappa: 0.37, kb_relative_information_score: 4038.7472, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5147, predictive_accuracy: 0.5192, prior_entropy: 2.1936, recall: 0.5192, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.5125, kappa: 0.3648, kb_relative_information_score: 4079.2037, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5118, predictive_accuracy: 0.514, prior_entropy: 2.1936, recall: 0.514, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.5127, kappa: 0.3661, kb_relative_information_score: 3919.455, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.51, predictive_accuracy: 0.5172, prior_entropy: 2.1936, recall: 0.5172, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.5226, kappa: 0.3788, kb_relative_information_score: 3830.3616, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5198, predictive_accuracy: 0.5283, prior_entropy: 2.1936, recall: 0.5283, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9325,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs