Task
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: 0.6554, 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,
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: 0.6246, 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: 0.6241, f_measure: 0.4104, kappa: 0.2242, kb_relative_information_score: 87.9402, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4489, predictive_accuracy: 0.49, prior_entropy: 2.1516, recall: 0.49, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9518,
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: 0.6307, f_measure: 0.3985, kappa: 0.2027, kb_relative_information_score: 54.1345, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 2.1516, recall: 0.4, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.4953, kappa: 0.3256, kb_relative_information_score: 186.9041, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4919, predictive_accuracy: 0.5, prior_entropy: 2.1516, recall: 0.5, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.0779,
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: 0.6127, f_measure: 0.3338, kappa: 0.1027, kb_relative_information_score: 96.7517, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3273, predictive_accuracy: 0.346, prior_entropy: 2.1516, recall: 0.346, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4496, root_relative_squared_error: 1.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.3314, kappa: 0.1421, kb_relative_information_score: 75.6784, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3253, predictive_accuracy: 0.422, prior_entropy: 2.1516, recall: 0.422, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4222, kappa: 0.2314, kb_relative_information_score: 119.648, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4145, predictive_accuracy: 0.44, prior_entropy: 2.1516, recall: 0.44, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.3086, kappa: 0.1126, kb_relative_information_score: 64.315, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2542, predictive_accuracy: 0.408, prior_entropy: 2.1516, recall: 0.408, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.3211, kappa: 0.1294, kb_relative_information_score: 55.603, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2737, predictive_accuracy: 0.414, prior_entropy: 2.1516, recall: 0.414, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.9858,
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: 0.7565, f_measure: 0.4957, kappa: 0.332, kb_relative_information_score: 155.6212, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4889, predictive_accuracy: 0.512, prior_entropy: 2.1516, recall: 0.512, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.4402, kappa: 0.2749, kb_relative_information_score: 81.4159, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5011, predictive_accuracy: 0.512, prior_entropy: 2.1516, recall: 0.512, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9408,
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: 0.674, f_measure: 0.3621, kappa: 0.1698, kb_relative_information_score: 98.0541, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3289, predictive_accuracy: 0.42, prior_entropy: 2.1516, recall: 0.42, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.4364, kappa: 0.2469, kb_relative_information_score: 128.3812, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4405, predictive_accuracy: 0.434, prior_entropy: 2.1516, recall: 0.434, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6717, 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: 0.6872, f_measure: 0.4951, kappa: 0.3329, kb_relative_information_score: 174.465, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4889, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.3307, kappa: 0.1147, kb_relative_information_score: 68.6589, 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: 0.6252, f_measure: 0.3458, kappa: 0.1594, kb_relative_information_score: 66.1048, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3073, predictive_accuracy: 0.42, prior_entropy: 2.1516, recall: 0.42, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.384, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.3563, kappa: 0.1721, kb_relative_information_score: 67.3684, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3735, predictive_accuracy: 0.43, prior_entropy: 2.1516, recall: 0.43, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.3248, kappa: 0.109, kb_relative_information_score: 70.3834, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3506, predictive_accuracy: 0.394, prior_entropy: 2.1516, recall: 0.394, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.3428, kappa: 0.1166, kb_relative_information_score: 85.6208, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3334, predictive_accuracy: 0.36, prior_entropy: 2.1516, recall: 0.36, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0316,
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: 0.6207, f_measure: 0.3409, kappa: 0.1583, kb_relative_information_score: 66.2212, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2925, predictive_accuracy: 0.428, prior_entropy: 2.1516, recall: 0.428, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2131, kb_relative_information_score: 33.4906, mean_absolute_error: 0.2931, 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: 0.9783, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.4951, kappa: 0.3329, kb_relative_information_score: 174.465, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4889, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.049,
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: 0.4709, f_measure: 0.2094, kappa: -0.0127, kb_relative_information_score: 1.7489, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1454, predictive_accuracy: 0.374, prior_entropy: 2.1516, recall: 0.374, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3879, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.3967, kappa: 0.1932, kb_relative_information_score: 90.8119, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3899, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.4518, kappa: 0.2686, kb_relative_information_score: 155.4916, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4569, predictive_accuracy: 0.448, prior_entropy: 2.1516, recall: 0.448, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.4632, kappa: 0.2831, kb_relative_information_score: 159.753, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4629, predictive_accuracy: 0.464, prior_entropy: 2.1516, recall: 0.464, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.4845, kappa: 0.3121, kb_relative_information_score: 172.4095, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4802, predictive_accuracy: 0.49, prior_entropy: 2.1516, recall: 0.49, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, 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: 0.6843, f_measure: 0.4052, kappa: 0.2235, kb_relative_information_score: 103.7348, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3901, predictive_accuracy: 0.442, prior_entropy: 2.1516, recall: 0.442, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.465, kappa: 0.2895, kb_relative_information_score: 153.338, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.486, prior_entropy: 2.1516, recall: 0.486, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.4888, kappa: 0.3233, kb_relative_information_score: 163.4076, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.479, predictive_accuracy: 0.504, prior_entropy: 2.1516, recall: 0.504, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.4359, kappa: 0.2807, kb_relative_information_score: 117.095, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4227, predictive_accuracy: 0.482, prior_entropy: 2.1516, recall: 0.482, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.5006, kappa: 0.3364, kb_relative_information_score: 166.9919, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4945, predictive_accuracy: 0.514, prior_entropy: 2.1516, recall: 0.514, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.3391, kappa: 0.1457, kb_relative_information_score: 66.9555, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3168, predictive_accuracy: 0.42, prior_entropy: 2.1516, recall: 0.42, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.4845, kappa: 0.3121, kb_relative_information_score: 172.4095, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4802, predictive_accuracy: 0.49, prior_entropy: 2.1516, recall: 0.49, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.2195, kappa: -0, kb_relative_information_score: 4.7367, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1843, predictive_accuracy: 0.38, prior_entropy: 2.1516, recall: 0.38, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3872, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.3445, kappa: 0.1595, kb_relative_information_score: 75.5746, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3102, predictive_accuracy: 0.422, prior_entropy: 2.1516, recall: 0.422, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.4035, kappa: 0.241, kb_relative_information_score: 106.4142, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3992, predictive_accuracy: 0.464, prior_entropy: 2.1516, recall: 0.464, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.4251, kappa: 0.2621, kb_relative_information_score: 113.9482, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4115, predictive_accuracy: 0.472, prior_entropy: 2.1516, recall: 0.472, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.4468, kappa: 0.2832, kb_relative_information_score: 132.4054, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.429, predictive_accuracy: 0.478, prior_entropy: 2.1516, recall: 0.478, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.2835, kappa: 0.0743, kb_relative_information_score: 48.8205, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.226, predictive_accuracy: 0.388, prior_entropy: 2.1516, recall: 0.388, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.4704, kappa: 0.2933, kb_relative_information_score: 169.1153, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4736, predictive_accuracy: 0.468, prior_entropy: 2.1516, recall: 0.468, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.442, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.4959, kappa: 0.3296, kb_relative_information_score: 174.5861, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4892, predictive_accuracy: 0.506, prior_entropy: 2.1516, recall: 0.506, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.413, kappa: 0.2369, kb_relative_information_score: 107.0684, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3901, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.3769, kappa: 0.196, kb_relative_information_score: 85.0245, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3861, predictive_accuracy: 0.438, prior_entropy: 2.1516, recall: 0.438, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.378, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3254, kappa: 0.1328, kb_relative_information_score: 65.5527, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2878, predictive_accuracy: 0.402, prior_entropy: 2.1516, recall: 0.402, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.2795, kappa: 0.0473, kb_relative_information_score: 26.0182, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.303, predictive_accuracy: 0.39, prior_entropy: 2.1516, recall: 0.39, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3874, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.465, kappa: 0.2895, kb_relative_information_score: 153.3183, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.486, prior_entropy: 2.1516, recall: 0.486, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4135, kappa: 0.2378, kb_relative_information_score: 108.6576, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3904, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3254, kappa: 0.1328, kb_relative_information_score: 65.5527, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2878, predictive_accuracy: 0.402, prior_entropy: 2.1516, recall: 0.402, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.4468, kappa: 0.2832, kb_relative_information_score: 132.4054, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.429, predictive_accuracy: 0.478, prior_entropy: 2.1516, recall: 0.478, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.4756, kappa: 0.3149, kb_relative_information_score: 139.6869, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4677, predictive_accuracy: 0.506, prior_entropy: 2.1516, recall: 0.506, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4135, kappa: 0.2378, kb_relative_information_score: 108.6576, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3904, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9624,

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