Task
Supervised Classification on autoUniv-au7-1100

Supervised Classification on autoUniv-au7-1100

Task 9906 Supervised Classification autoUniv-au7-1100 563 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.3315, kappa: 0.1516, kb_relative_information_score: 180.7923, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3387, predictive_accuracy: 0.3409, prior_entropy: 2.281, recall: 0.3409, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.3326, kappa: 0.1548, kb_relative_information_score: 181.5674, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.338, predictive_accuracy: 0.3418, prior_entropy: 2.281, recall: 0.3418, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.2505, kappa: 0.0454, kb_relative_information_score: 149.089, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2511, predictive_accuracy: 0.2582, prior_entropy: 2.281, recall: 0.2582, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.2138, kappa: 0.056, kb_relative_information_score: 81.2287, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2191, predictive_accuracy: 0.2991, prior_entropy: 2.281, recall: 0.2991, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.3315, kappa: 0.1516, kb_relative_information_score: 180.7923, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3387, predictive_accuracy: 0.3409, prior_entropy: 2.281, recall: 0.3409, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.2138, kappa: 0.056, kb_relative_information_score: 81.2287, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2191, predictive_accuracy: 0.2991, prior_entropy: 2.281, recall: 0.2991, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.2505, kappa: 0.0454, kb_relative_information_score: 149.089, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2511, predictive_accuracy: 0.2582, prior_entropy: 2.281, recall: 0.2582, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.3326, kappa: 0.1548, kb_relative_information_score: 181.5674, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.338, predictive_accuracy: 0.3418, prior_entropy: 2.281, recall: 0.3418, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.3687, kappa: 0.2114, kb_relative_information_score: 169.7374, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3786, predictive_accuracy: 0.3836, prior_entropy: 2.281, recall: 0.3836, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.3574, kappa: 0.1936, kb_relative_information_score: 220.0333, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.368, predictive_accuracy: 0.3718, prior_entropy: 2.281, recall: 0.3718, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.4039, kappa: 0.2685, kb_relative_information_score: 283.855, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4224, predictive_accuracy: 0.4264, prior_entropy: 2.281, recall: 0.4264, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.3422, kappa: 0.1973, kb_relative_information_score: 213.1505, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3545, predictive_accuracy: 0.3664, prior_entropy: 2.281, recall: 0.3664, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.4196, kappa: 0.2708, kb_relative_information_score: 301.1641, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4249, predictive_accuracy: 0.43, prior_entropy: 2.281, recall: 0.43, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.3974, kappa: 0.2384, kb_relative_information_score: 303.7115, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3964, predictive_accuracy: 0.4027, prior_entropy: 2.281, recall: 0.4027, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.3659, kappa: 0.2202, kb_relative_information_score: 221.3436, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3964, predictive_accuracy: 0.3982, prior_entropy: 2.281, recall: 0.3982, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.3315, kappa: 0.1516, kb_relative_information_score: 180.7923, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3387, predictive_accuracy: 0.3409, prior_entropy: 2.281, recall: 0.3409, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.3507, kappa: 0.2027, kb_relative_information_score: 288.1902, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3531, predictive_accuracy: 0.3682, prior_entropy: 2.281, recall: 0.3682, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.412, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.2622, kappa: 0.0588, kb_relative_information_score: 165.1916, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2675, predictive_accuracy: 0.2718, prior_entropy: 2.281, recall: 0.2718, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.3002, kappa: 0.1135, kb_relative_information_score: 210.1118, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3004, predictive_accuracy: 0.3, prior_entropy: 2.281, recall: 0.3, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.3326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.4135, kappa: 0.2573, kb_relative_information_score: 310.1377, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4146, predictive_accuracy: 0.4182, prior_entropy: 2.281, recall: 0.4182, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3971, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.3142, kappa: 0.1305, kb_relative_information_score: 254.6826, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3152, predictive_accuracy: 0.3136, prior_entropy: 2.281, recall: 0.3136, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.1379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.2943, kappa: 0.1015, kb_relative_information_score: 203.6667, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2951, predictive_accuracy: 0.2973, prior_entropy: 2.281, recall: 0.2973, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.476, root_relative_squared_error: 1.1988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.4252, kappa: 0.2815, kb_relative_information_score: 249.231, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4324, predictive_accuracy: 0.44, prior_entropy: 2.281, recall: 0.44, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.373, kappa: 0.2034, kb_relative_information_score: 262.8691, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3738, predictive_accuracy: 0.3727, prior_entropy: 2.281, recall: 0.3727, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.1204, kb_relative_information_score: 0.4639, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3971, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.2053, kappa: 0.0805, kb_relative_information_score: 150.4362, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.1588, predictive_accuracy: 0.3227, prior_entropy: 2.281, recall: 0.3227, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.3289, kappa: 0.1684, kb_relative_information_score: 182.8709, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3503, predictive_accuracy: 0.35, prior_entropy: 2.281, recall: 0.35, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.386, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.3022, kappa: 0.1244, kb_relative_information_score: 143.5689, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3311, predictive_accuracy: 0.3227, prior_entropy: 2.281, recall: 0.3227, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.2111, kappa: 0.0666, kb_relative_information_score: 81.9241, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.195, predictive_accuracy: 0.3036, prior_entropy: 2.281, recall: 0.3036, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.3293, kappa: 0.1497, kb_relative_information_score: 246.3474, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3296, predictive_accuracy: 0.3291, prior_entropy: 2.281, recall: 0.3291, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.518, root_relative_squared_error: 1.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.1403, kappa: 0.0069, kb_relative_information_score: 148.2782, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2969, predictive_accuracy: 0.28, prior_entropy: 2.281, recall: 0.28, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.3958, kappa: 0.2526, kb_relative_information_score: 297.5664, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4062, predictive_accuracy: 0.4155, prior_entropy: 2.281, recall: 0.4155, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.3487, kappa: 0.1757, kb_relative_information_score: 273.011, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3486, predictive_accuracy: 0.3491, prior_entropy: 2.281, recall: 0.3491, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.3073, kappa: 0.1436, kb_relative_information_score: 167.3074, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3251, predictive_accuracy: 0.3373, prior_entropy: 2.281, recall: 0.3373, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.3216, kappa: 0.1593, kb_relative_information_score: 171.3883, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3464, predictive_accuracy: 0.3482, prior_entropy: 2.281, recall: 0.3482, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.3057, kappa: 0.1378, kb_relative_information_score: 162.7067, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3223, predictive_accuracy: 0.3355, prior_entropy: 2.281, recall: 0.3355, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.3488, kappa: 0.1756, kb_relative_information_score: 190.8207, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3538, predictive_accuracy: 0.3564, prior_entropy: 2.281, recall: 0.3564, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.0481, kappa: 0.0002, kb_relative_information_score: 35.9922, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0686, predictive_accuracy: 0.1427, prior_entropy: 2.281, recall: 0.1427, relative_absolute_error: 1.0146, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.1204, kb_relative_information_score: 0.4639, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3971, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.3315, kappa: 0.1516, kb_relative_information_score: 180.7923, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3387, predictive_accuracy: 0.3409, prior_entropy: 2.281, recall: 0.3409, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.3634, kappa: 0.1968, kb_relative_information_score: 297.0481, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3629, predictive_accuracy: 0.3664, prior_entropy: 2.281, recall: 0.3664, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.0942, kappa: -0.006, kb_relative_information_score: 42.3182, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2357, predictive_accuracy: 0.1482, prior_entropy: 2.281, recall: 0.1482, relative_absolute_error: 1.0803, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.3008, kappa: 0.1841, kb_relative_information_score: 271.7753, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.313, predictive_accuracy: 0.3536, prior_entropy: 2.281, recall: 0.3536, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.1466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.3616, kappa: 0.195, kb_relative_information_score: 243.0592, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3663, predictive_accuracy: 0.3718, prior_entropy: 2.281, recall: 0.3718, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.3409, kappa: 0.1627, kb_relative_information_score: 262.9201, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3404, predictive_accuracy: 0.3418, prior_entropy: 2.281, recall: 0.3418, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.1996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.2996, kappa: 0.1513, kb_relative_information_score: 156.7931, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4136, predictive_accuracy: 0.3655, prior_entropy: 2.281, recall: 0.3655, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.4051, kappa: 0.2451, kb_relative_information_score: 297.8037, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4063, predictive_accuracy: 0.41, prior_entropy: 2.281, recall: 0.41, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.392, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.3293, kappa: 0.1497, kb_relative_information_score: 245.8945, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3296, predictive_accuracy: 0.3291, prior_entropy: 2.281, recall: 0.3291, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.3013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.3787, kappa: 0.2142, kb_relative_information_score: 328.3655, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3768, predictive_accuracy: 0.3827, prior_entropy: 2.281, recall: 0.3827, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.442, root_relative_squared_error: 1.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.3905, kappa: 0.2302, kb_relative_information_score: 309.7464, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3892, predictive_accuracy: 0.3927, prior_entropy: 2.281, recall: 0.3927, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.3394, kappa: 0.1615, kb_relative_information_score: 179.6341, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3493, predictive_accuracy: 0.35, prior_entropy: 2.281, recall: 0.35, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.3471, kappa: 0.1815, kb_relative_information_score: 238.3763, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3558, predictive_accuracy: 0.3609, prior_entropy: 2.281, recall: 0.3609, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.3912, kappa: 0.2327, kb_relative_information_score: 220.4192, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3954, predictive_accuracy: 0.4036, prior_entropy: 2.281, recall: 0.4036, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.376, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.3901, kappa: 0.2286, kb_relative_information_score: 228.251, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4058, predictive_accuracy: 0.4045, prior_entropy: 2.281, recall: 0.4045, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.0775, kappa: -0.0047, kb_relative_information_score: 35.9939, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.1886, predictive_accuracy: 0.1482, prior_entropy: 2.281, recall: 0.1482, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3999, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.3375, kappa: 0.1579, kb_relative_information_score: 180.527, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3436, predictive_accuracy: 0.3455, prior_entropy: 2.281, recall: 0.3455, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.1204, kb_relative_information_score: 0.4639, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3971, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.2073, kappa: 0.0757, kb_relative_information_score: 70.7352, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.181, predictive_accuracy: 0.3164, prior_entropy: 2.281, recall: 0.3164, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.3919, kappa: 0.2448, kb_relative_information_score: 289.4961, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4019, predictive_accuracy: 0.4109, prior_entropy: 2.281, recall: 0.4109, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.3075, kappa: 0.1568, kb_relative_information_score: 153.8534, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.286, predictive_accuracy: 0.3518, prior_entropy: 2.281, recall: 0.3518, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.2734, kappa: 0.1297, kb_relative_information_score: 106.0906, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2995, predictive_accuracy: 0.3373, prior_entropy: 2.281, recall: 0.3373, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.3581, kappa: 0.1941, kb_relative_information_score: 227.3119, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3651, predictive_accuracy: 0.37, prior_entropy: 2.281, recall: 0.37, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.2981, kappa: 0.153, kb_relative_information_score: 117.9924, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3048, predictive_accuracy: 0.35, prior_entropy: 2.281, recall: 0.35, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.1403, kappa: 0.0069, kb_relative_information_score: 148.2782, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2969, predictive_accuracy: 0.28, prior_entropy: 2.281, recall: 0.28, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.4103, kappa: 0.2577, kb_relative_information_score: 283.8342, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4147, predictive_accuracy: 0.4209, prior_entropy: 2.281, recall: 0.4209, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.3833, kappa: 0.2176, kb_relative_information_score: 317.1008, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3831, predictive_accuracy: 0.3836, prior_entropy: 2.281, recall: 0.3836, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.1778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.3965, kappa: 0.238, kb_relative_information_score: 260.9413, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4086, predictive_accuracy: 0.4073, prior_entropy: 2.281, recall: 0.4073, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.3431, kappa: 0.1913, kb_relative_information_score: 187.7278, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.345, predictive_accuracy: 0.3636, prior_entropy: 2.281, recall: 0.3636, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.2647, kappa: 0.0631, kb_relative_information_score: 155.1267, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2722, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.0645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.3181, kappa: 0.1557, kb_relative_information_score: 199.7609, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3333, predictive_accuracy: 0.3527, prior_entropy: 2.281, recall: 0.3527, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.389, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.3461, kappa: 0.1866, kb_relative_information_score: 210.8325, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3479, predictive_accuracy: 0.3627, prior_entropy: 2.281, recall: 0.3627, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.3982, kappa: 0.2373, kb_relative_information_score: 307.8651, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3968, predictive_accuracy: 0.4009, prior_entropy: 2.281, recall: 0.4009, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.2644, kappa: 0.0895, kb_relative_information_score: 91.9713, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2519, predictive_accuracy: 0.2918, prior_entropy: 2.281, recall: 0.2918, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.4032, kappa: 0.2448, kb_relative_information_score: 347.7983, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4094, predictive_accuracy: 0.4127, prior_entropy: 2.281, recall: 0.4127, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.3315, kappa: 0.1515, kb_relative_information_score: 180.767, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.339, predictive_accuracy: 0.3409, prior_entropy: 2.281, recall: 0.3409, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.3874, kappa: 0.2229, kb_relative_information_score: 307.9427, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3876, predictive_accuracy: 0.3873, prior_entropy: 2.281, recall: 0.3873, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.1204, kb_relative_information_score: 0.4997, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3971, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.3262, kappa: 0.1572, kb_relative_information_score: 205.5025, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3571, predictive_accuracy: 0.3536, prior_entropy: 2.281, recall: 0.3536, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.3231, kappa: 0.1442, kb_relative_information_score: 178.5443, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3323, predictive_accuracy: 0.3373, prior_entropy: 2.281, recall: 0.3373, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.3352, kappa: 0.1605, kb_relative_information_score: 272.5885, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3386, predictive_accuracy: 0.3345, prior_entropy: 2.281, recall: 0.3345, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1204, kb_relative_information_score: 143.572, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.3346, kappa: 0.1596, kb_relative_information_score: 265.6149, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3432, predictive_accuracy: 0.3318, prior_entropy: 2.281, recall: 0.3318, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4029, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.3368, kappa: 0.1601, kb_relative_information_score: 169.5138, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3469, predictive_accuracy: 0.35, prior_entropy: 2.281, recall: 0.35, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9772, scimark_benchmark: 1254.1389, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.3874, kappa: 0.2229, kb_relative_information_score: 307.9427, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3876, predictive_accuracy: 0.3873, prior_entropy: 2.281, recall: 0.3873, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1494, scimark_benchmark: 473.1656, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.2138, kappa: 0.056, kb_relative_information_score: 81.2287, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2191, predictive_accuracy: 0.2991, prior_entropy: 2.281, recall: 0.2991, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9933, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1204, kb_relative_information_score: 143.572, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.354, usercpu_time_millis: 2.669, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.3293, kappa: 0.1497, kb_relative_information_score: 246.3474, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3296, predictive_accuracy: 0.3291, prior_entropy: 2.281, recall: 0.3291, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.518, root_relative_squared_error: 1.3046, usercpu_time_millis: 3.423, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 2.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.3239, kappa: 0.1488, kb_relative_information_score: 258.3149, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3516, predictive_accuracy: 0.3491, prior_entropy: 2.281, recall: 0.3491, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.285, usercpu_time_millis: 2.434, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 1.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.3344, kappa: 0.157, kb_relative_information_score: 261.8419, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.34, predictive_accuracy: 0.3436, prior_entropy: 2.281, recall: 0.3436, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.2903, usercpu_time_millis: 1.002, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.3357, kappa: 0.157, kb_relative_information_score: 254.7726, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3345, predictive_accuracy: 0.3382, prior_entropy: 2.281, recall: 0.3382, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.2957, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.3533, kappa: 0.1844, kb_relative_information_score: 289.4065, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3827, predictive_accuracy: 0.3745, prior_entropy: 2.281, recall: 0.3745, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.2596, usercpu_time_millis: 3.411, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 3.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.3934, kappa: 0.2448, kb_relative_information_score: 347.3439, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4198, predictive_accuracy: 0.4145, prior_entropy: 2.281, recall: 0.4145, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.2187, usercpu_time_millis: 174.008, usercpu_time_millis_testing: 7.766, usercpu_time_millis_training: 166.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.4038, kappa: 0.2531, kb_relative_information_score: 352.9822, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4077, predictive_accuracy: 0.4191, prior_entropy: 2.281, recall: 0.4191, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.482, root_relative_squared_error: 1.2139, usercpu_time_millis: 108.938, usercpu_time_millis_testing: 22.456, usercpu_time_millis_training: 86.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.265, kappa: 0.0687, kb_relative_information_score: 187.8642, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3082, predictive_accuracy: 0.2964, prior_entropy: 2.281, recall: 0.2964, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5305, root_relative_squared_error: 1.336, usercpu_time_millis: 114.703, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 114.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.2938, kappa: 0.1129, kb_relative_information_score: 225.1997, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3267, predictive_accuracy: 0.3282, prior_entropy: 2.281, recall: 0.3282, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.3055, usercpu_time_millis: 3.051, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 2.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.3874, kappa: 0.2229, kb_relative_information_score: 321.199, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3876, predictive_accuracy: 0.3873, prior_entropy: 2.281, recall: 0.3873, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.2467, usercpu_time_millis: 2.914, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 1.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.3074, kappa: 0.1642, kb_relative_information_score: 283.116, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4447, predictive_accuracy: 0.3745, prior_entropy: 2.281, recall: 0.3745, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.2596, usercpu_time_millis: 3.418, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.333, kappa: 0.1555, kb_relative_information_score: 262.1472, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3439, predictive_accuracy: 0.3464, prior_entropy: 2.281, recall: 0.3464, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.2877, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1204, kb_relative_information_score: 143.572, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.354, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.2505, kappa: 0.0454, kb_relative_information_score: 149.089, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.2511, predictive_accuracy: 0.2582, prior_entropy: 2.281, recall: 0.2582, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.3718, usercpu_time_millis: 1.475, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 0.92,

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