OpenML
Supervised Classification on autoUniv-au7-500

Supervised Classification on autoUniv-au7-500

Task 9903 Supervised Classification autoUniv-au7-500 573 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.3818, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.4627, kappa: 0.3135, kb_relative_information_score: 115.0097, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.462, predictive_accuracy: 0.516, prior_entropy: 2.1516, recall: 0.516, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.5183, kappa: 0.3642, kb_relative_information_score: 169.53, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.51, predictive_accuracy: 0.536, prior_entropy: 2.1516, recall: 0.536, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.5088, kappa: 0.3551, kb_relative_information_score: 158.2041, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4991, predictive_accuracy: 0.532, prior_entropy: 2.1516, recall: 0.532, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.4083, kappa: 0.2086, kb_relative_information_score: 132.7058, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.403, predictive_accuracy: 0.416, prior_entropy: 2.1516, recall: 0.416, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.5277, kappa: 0.3794, kb_relative_information_score: 148.7044, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5209, predictive_accuracy: 0.55, prior_entropy: 2.1516, recall: 0.55, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.5073, kappa: 0.3486, kb_relative_information_score: 128.66, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5057, predictive_accuracy: 0.532, prior_entropy: 2.1516, recall: 0.532, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6728, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6728, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.2486, kappa: 0.0133, kb_relative_information_score: 13.7022, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1999, predictive_accuracy: 0.366, prior_entropy: 2.1516, recall: 0.366, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3886, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.2486, kappa: 0.0133, kb_relative_information_score: 13.7022, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1999, predictive_accuracy: 0.366, prior_entropy: 2.1516, recall: 0.366, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3886, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.3817, kappa: 0.2044, kb_relative_information_score: 79.7811, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3509, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.491, kappa: 0.3219, kb_relative_information_score: 169.1311, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4871, predictive_accuracy: 0.496, prior_entropy: 2.1516, recall: 0.496, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.2126, kappa: -0.0019, kb_relative_information_score: 84.3156, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1473, predictive_accuracy: 0.382, prior_entropy: 2.1516, recall: 0.382, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3155, kappa: 0.1293, kb_relative_information_score: 47.9227, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2571, predictive_accuracy: 0.43, prior_entropy: 2.1516, recall: 0.43, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.3574, kappa: 0.135, kb_relative_information_score: 92.9518, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3636, predictive_accuracy: 0.402, prior_entropy: 2.1516, recall: 0.402, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.418, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.4108, kappa: 0.2529, kb_relative_information_score: 108.3538, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3655, predictive_accuracy: 0.478, prior_entropy: 2.1516, recall: 0.478, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.4556, kappa: 0.3162, kb_relative_information_score: 124.0405, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.428, predictive_accuracy: 0.512, prior_entropy: 2.1516, recall: 0.512, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.4612, kappa: 0.322, kb_relative_information_score: 132.7554, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4296, predictive_accuracy: 0.514, prior_entropy: 2.1516, recall: 0.514, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.2802, kappa: 0.0584, kb_relative_information_score: 44.4923, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2582, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.486, kappa: 0.352, kb_relative_information_score: 154.3135, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4812, predictive_accuracy: 0.542, prior_entropy: 2.1516, recall: 0.542, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.4883, kappa: 0.3458, kb_relative_information_score: 160.3638, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.477, predictive_accuracy: 0.536, prior_entropy: 2.1516, recall: 0.536, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.3255, kappa: 0.1355, kb_relative_information_score: 61.9892, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2788, predictive_accuracy: 0.41, prior_entropy: 2.1516, recall: 0.41, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.5083, kappa: 0.3558, kb_relative_information_score: 176.0784, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5151, predictive_accuracy: 0.536, prior_entropy: 2.1516, recall: 0.536, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.4969, kappa: 0.331, kb_relative_information_score: 156.508, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4908, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.4175, kappa: 0.222, kb_relative_information_score: 139.0191, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4193, predictive_accuracy: 0.416, prior_entropy: 2.1516, recall: 0.416, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.0875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.5209, kappa: 0.3706, kb_relative_information_score: 182.508, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5225, predictive_accuracy: 0.544, prior_entropy: 2.1516, recall: 0.544, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.4324, kappa: 0.2427, kb_relative_information_score: 146.686, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4311, predictive_accuracy: 0.434, prior_entropy: 2.1516, recall: 0.434, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.3282, kappa: 0.0929, kb_relative_information_score: 89.744, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3154, predictive_accuracy: 0.356, prior_entropy: 2.1516, recall: 0.356, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.3117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.3307, kappa: 0.1147, kb_relative_information_score: 68.6588, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3979, predictive_accuracy: 0.396, prior_entropy: 2.1516, recall: 0.396, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.5212, kappa: 0.3636, kb_relative_information_score: 184.4587, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5145, predictive_accuracy: 0.534, prior_entropy: 2.1516, recall: 0.534, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.4826, kappa: 0.3076, kb_relative_information_score: 175.2944, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4777, predictive_accuracy: 0.492, prior_entropy: 2.1516, recall: 0.492, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.0654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.4056, kappa: 0.2063, kb_relative_information_score: 126.2222, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4075, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.4675, kappa: 0.2949, kb_relative_information_score: 95.1633, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4772, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.3634, kappa: 0.1943, kb_relative_information_score: 93.596, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3623, predictive_accuracy: 0.446, prior_entropy: 2.1516, recall: 0.446, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.4863, kappa: 0.3289, kb_relative_information_score: 114.0293, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4828, predictive_accuracy: 0.526, prior_entropy: 2.1516, recall: 0.526, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.9171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.3148, kappa: 0.0747, kb_relative_information_score: 80.0766, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3103, predictive_accuracy: 0.326, prior_entropy: 2.1516, recall: 0.326, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.2259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.4839, kappa: 0.3215, kb_relative_information_score: 168.1166, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4768, predictive_accuracy: 0.5, prior_entropy: 2.1516, recall: 0.5, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.0417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3495, kappa: 0.1872, kb_relative_information_score: 70.1288, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3081, predictive_accuracy: 0.448, prior_entropy: 2.1516, recall: 0.448, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.3232, kappa: 0.1016, kb_relative_information_score: 66.0485, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.351, predictive_accuracy: 0.388, prior_entropy: 2.1516, recall: 0.388, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.4512, kappa: 0.2648, kb_relative_information_score: 124.4388, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4479, predictive_accuracy: 0.46, prior_entropy: 2.1516, recall: 0.46, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.5212, kappa: 0.3852, kb_relative_information_score: 162.8025, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.528, predictive_accuracy: 0.56, prior_entropy: 2.1516, recall: 0.56, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.2131, kb_relative_information_score: 45.3526, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4026, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.3102, kappa: 0.0965, kb_relative_information_score: 52.0939, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3806, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.2279, kappa: 0.0097, kb_relative_information_score: 26.1696, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2214, predictive_accuracy: 0.386, prior_entropy: 2.1516, recall: 0.386, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.1444, kappa: 0.0006, kb_relative_information_score: 14.1421, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2571, predictive_accuracy: 0.148, prior_entropy: 2.1516, recall: 0.148, relative_absolute_error: 1.0672, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.4098, kappa: 0.2092, kb_relative_information_score: 92.5179, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4231, predictive_accuracy: 0.458, prior_entropy: 2.1516, recall: 0.458, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9629,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.3421, kappa: 0.1287, kb_relative_information_score: 73.5356, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3508, predictive_accuracy: 0.412, prior_entropy: 2.1516, recall: 0.412, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9762, usercpu_time_millis: 0.332, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.3362, kappa: 0.1216, kb_relative_information_score: 72.8136, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3392, predictive_accuracy: 0.408, prior_entropy: 2.1516, recall: 0.408, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9761, usercpu_time_millis: 0.333, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.3779, kappa: 0.1688, kb_relative_information_score: 110.3378, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3762, predictive_accuracy: 0.38, prior_entropy: 2.1516, recall: 0.38, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4117, root_relative_squared_error: 1.064, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 0.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.3838, kappa: 0.1802, kb_relative_information_score: 89.613, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3752, predictive_accuracy: 0.424, prior_entropy: 2.1516, recall: 0.424, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.9826, usercpu_time_millis: 0.33, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.373, kappa: 0.1656, kb_relative_information_score: 79.6387, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3748, predictive_accuracy: 0.426, prior_entropy: 2.1516, recall: 0.426, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.9775, usercpu_time_millis: 0.346, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.3351, kappa: 0.1199, kb_relative_information_score: 69.3019, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3469, predictive_accuracy: 0.412, prior_entropy: 2.1516, recall: 0.412, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9763, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.3968, kappa: 0.1967, kb_relative_information_score: 97.4966, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3861, predictive_accuracy: 0.426, prior_entropy: 2.1516, recall: 0.426, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9937, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.3594, kappa: 0.1459, kb_relative_information_score: 111.0027, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3614, predictive_accuracy: 0.358, prior_entropy: 2.1516, recall: 0.358, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.0942, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.3362, kappa: 0.1216, kb_relative_information_score: 72.8136, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3392, predictive_accuracy: 0.408, prior_entropy: 2.1516, recall: 0.408, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9761, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.3362, kappa: 0.1216, kb_relative_information_score: 72.8136, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3392, predictive_accuracy: 0.408, prior_entropy: 2.1516, recall: 0.408, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9761, usercpu_time_millis: 0.333, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.3345, kappa: 0.1187, kb_relative_information_score: 71.3418, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3421, predictive_accuracy: 0.41, prior_entropy: 2.1516, recall: 0.41, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9762, usercpu_time_millis: 0.377, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.3953, kappa: 0.1937, kb_relative_information_score: 101.2291, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3859, predictive_accuracy: 0.416, prior_entropy: 2.1516, recall: 0.416, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.388, root_relative_squared_error: 1.0028, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.204,

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