Task
Supervised Classification on fri_c4_250_10

Supervised Classification on fri_c4_250_10

Task 3727 Supervised Classification fri_c4_250_10 559 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: 0.7535, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 87.5515, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6522, kappa: 0.3022, kb_relative_information_score: 50.8963, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6526, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6522, kappa: 0.3022, kb_relative_information_score: 57.9693, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6526, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.663, kappa: 0.3225, kb_relative_information_score: 52.0502, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6633, predictive_accuracy: 0.664, prior_entropy: 0.9971, recall: 0.664, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8145, kappa: 0.6274, kb_relative_information_score: 120.7598, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9971, recall: 0.816, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6395, kappa: 0.2755, kb_relative_information_score: 53.8794, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9971, recall: 0.64, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.0476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7997, kappa: 0.5975, kb_relative_information_score: 147.1706, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7999, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.6453, kappa: 0.2913, kb_relative_information_score: 47.1114, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6545, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8082, kappa: 0.6156, kb_relative_information_score: 131.5354, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7123, kappa: 0.4234, kb_relative_information_score: 94.4304, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7134, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.648, kappa: 0.2931, kb_relative_information_score: 40.2987, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.648, predictive_accuracy: 0.648, prior_entropy: 0.9971, recall: 0.648, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6507, kappa: 0.2979, kb_relative_information_score: 56.9748, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6512, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.5266, kappa: 0.0766, kb_relative_information_score: 4.5337, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.548, predictive_accuracy: 0.552, prior_entropy: 0.9971, recall: 0.552, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6503, kappa: 0.2972, kb_relative_information_score: 65.298, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6512, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8117, kappa: 0.6215, kb_relative_information_score: 129.212, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7958, kappa: 0.5897, kb_relative_information_score: 74.9553, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7959, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3695, kb_relative_information_score: -0.0616, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6395, kappa: 0.2755, kb_relative_information_score: 56.4972, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9971, recall: 0.64, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8001, kappa: 0.5988, kb_relative_information_score: 123.9888, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.7876, kappa: 0.5732, kb_relative_information_score: 131.802, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7796, kappa: 0.5571, kb_relative_information_score: 134.8597, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6363, kappa: 0.2731, kb_relative_information_score: 44.9435, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6391, predictive_accuracy: 0.636, prior_entropy: 0.9971, recall: 0.636, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.6318, kappa: 0.2602, kb_relative_information_score: 33.7027, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6317, predictive_accuracy: 0.632, prior_entropy: 0.9971, recall: 0.632, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6363, kappa: 0.2731, kb_relative_information_score: 44.9435, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6391, predictive_accuracy: 0.636, prior_entropy: 0.9971, recall: 0.636, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8401, kappa: 0.679, kb_relative_information_score: 123.5579, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9971, recall: 0.84, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.6357, kappa: 0.2679, kb_relative_information_score: 66.9253, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6355, predictive_accuracy: 0.636, prior_entropy: 0.9971, recall: 0.636, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7879, kappa: 0.574, kb_relative_information_score: 121.9043, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6324, kappa: 0.2632, kb_relative_information_score: 46.6445, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6334, predictive_accuracy: 0.632, prior_entropy: 0.9971, recall: 0.632, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.487, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.4556, kappa: 0.0536, kb_relative_information_score: 24.68, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5801, predictive_accuracy: 0.552, prior_entropy: 0.9971, recall: 0.552, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.6597, kappa: 0.3161, kb_relative_information_score: 78.9954, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6596, predictive_accuracy: 0.66, prior_entropy: 0.9971, recall: 0.66, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7796, kappa: 0.5571, kb_relative_information_score: 134.8597, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6363, kappa: 0.2731, kb_relative_information_score: 44.9435, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6391, predictive_accuracy: 0.636, prior_entropy: 0.9971, recall: 0.636, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.6863, kappa: 0.3695, kb_relative_information_score: 47.511, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6878, predictive_accuracy: 0.688, prior_entropy: 0.9971, recall: 0.688, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8079, kappa: 0.618, kb_relative_information_score: 107.1879, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8162, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.7442, kappa: 0.4869, kb_relative_information_score: 121.2407, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7448, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.506, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6835, kappa: 0.3638, kb_relative_information_score: 91.0655, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6835, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1266, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6434, kappa: 0.2832, kb_relative_information_score: 70.9487, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6433, predictive_accuracy: 0.644, prior_entropy: 0.9971, recall: 0.644, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1958, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6935, kappa: 0.3844, kb_relative_information_score: 97.1005, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6967, predictive_accuracy: 0.696, prior_entropy: 0.9971, recall: 0.696, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.105, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5392, kappa: 0.0738, kb_relative_information_score: 18.645, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5389, predictive_accuracy: 0.54, prior_entropy: 0.9971, recall: 0.54, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3593, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.5835, kappa: 0.1629, kb_relative_information_score: 26.3607, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5832, predictive_accuracy: 0.584, prior_entropy: 0.9971, recall: 0.584, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0308, scimark_benchmark: 1340.19, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5392, kappa: 0.0738, kb_relative_information_score: 18.645, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5389, predictive_accuracy: 0.54, prior_entropy: 0.9971, recall: 0.54, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3593, scimark_benchmark: 1380.5158, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6935, kappa: 0.3844, kb_relative_information_score: 97.1005, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6967, predictive_accuracy: 0.696, prior_entropy: 0.9971, recall: 0.696, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.105, scimark_benchmark: 1347.48, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6835, kappa: 0.3638, kb_relative_information_score: 91.0655, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6835, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1266, scimark_benchmark: 1391.5037, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6434, kappa: 0.2832, kb_relative_information_score: 70.9487, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6433, predictive_accuracy: 0.644, prior_entropy: 0.9971, recall: 0.644, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1958, scimark_benchmark: 1518.5227, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6507, kappa: 0.2979, kb_relative_information_score: 37.554, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6512, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9651, scimark_benchmark: 1908.2191, usercpu_time_millis: 718.75, usercpu_time_millis_training: 718.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.6597, kappa: 0.3161, kb_relative_information_score: 78.9954, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6596, predictive_accuracy: 0.66, prior_entropy: 0.9971, recall: 0.66, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1686, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.6357, kappa: 0.2679, kb_relative_information_score: 66.9253, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6355, predictive_accuracy: 0.636, prior_entropy: 0.9971, recall: 0.636, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2091, scimark_benchmark: 1249.7472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6315, kappa: 0.2595, kb_relative_information_score: 32.0894, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6314, predictive_accuracy: 0.632, prior_entropy: 0.9971, recall: 0.632, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9648, scimark_benchmark: 1581.7867, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 87.5515, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9489, scimark_benchmark: 1067.7785, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 87.5515, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9489, scimark_benchmark: 965.0552, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.828, kappa: 0.6572, kb_relative_information_score: 122.6767, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8341, predictive_accuracy: 0.828, prior_entropy: 0.9971, recall: 0.828, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7089, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7833, kappa: 0.5715, kb_relative_information_score: 140.9025, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7973, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8202, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.6537, kappa: 0.3428, kb_relative_information_score: 77.7452, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7066, predictive_accuracy: 0.664, prior_entropy: 0.9971, recall: 0.664, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9866, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.6843, kappa: 0.3683, kb_relative_information_score: 51.538, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6864, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9073, 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: 0.8923, f_measure: 0.7876, kappa: 0.5732, kb_relative_information_score: 131.4795, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7271, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6395, kappa: 0.2755, kb_relative_information_score: 56.4972, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9971, recall: 0.64, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9463, 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: 0.7108, f_measure: 0.712, kappa: 0.4216, kb_relative_information_score: 105.1473, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.712, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0755, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8481, kappa: 0.6951, kb_relative_information_score: 173.5444, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8482, predictive_accuracy: 0.848, prior_entropy: 0.9971, recall: 0.848, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.6535, kappa: 0.3125, kb_relative_information_score: 81.0071, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6725, predictive_accuracy: 0.664, prior_entropy: 0.9971, recall: 0.664, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8319, kappa: 0.6623, kb_relative_information_score: 165.4977, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8319, predictive_accuracy: 0.832, prior_entropy: 0.9971, recall: 0.832, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.6558, kappa: 0.3085, kb_relative_information_score: 76.9837, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6557, predictive_accuracy: 0.656, prior_entropy: 0.9971, recall: 0.656, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1754, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, f_measure: 0.64, kappa: 0.277, kb_relative_information_score: 68.937, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9971, recall: 0.64, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2025, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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