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: 0.6227, 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: 0.6593, 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, scimark_benchmark: 1248.2165, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 0.6591, 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, scimark_benchmark: 473.1656, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
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: 0.5748, 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, scimark_benchmark: 473.1656, usercpu_time_millis: 420, usercpu_time_millis_testing: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.3258, kappa: 0.1594, kb_relative_information_score: 244.4589, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.331, predictive_accuracy: 0.3455, prior_entropy: 2.281, recall: 0.3455, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.0448, scimark_benchmark: 1237.8253, usercpu_time_millis: 3590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.3424, kappa: 0.1639, kb_relative_information_score: 210.0863, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3578, predictive_accuracy: 0.3564, prior_entropy: 2.281, recall: 0.3564, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9786, scimark_benchmark: 1235.7807, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.3715, kappa: 0.2044, kb_relative_information_score: 263.8373, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3745, predictive_accuracy: 0.3782, prior_entropy: 2.281, recall: 0.3782, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.97, scimark_benchmark: 1233.0321, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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, scimark_benchmark: 1212.349, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.3722, kappa: 0.2173, kb_relative_information_score: 239.1695, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3852, predictive_accuracy: 0.3909, prior_entropy: 2.281, recall: 0.3909, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9682, scimark_benchmark: 1244.5267, usercpu_time_millis: 1520, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.3483, kappa: 0.1921, kb_relative_information_score: 198.9249, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3558, predictive_accuracy: 0.3718, prior_entropy: 2.281, recall: 0.3718, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.9631, scimark_benchmark: 1247.7329, usercpu_time_millis: 45610, usercpu_time_millis_training: 45610,
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: 0.6184, f_measure: 0.3701, kappa: 0.2405, kb_relative_information_score: 342.6184, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4053, predictive_accuracy: 0.4064, prior_entropy: 2.281, recall: 0.4064, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.2271, usercpu_time_millis: 1.538, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.374,
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: 0.5748, 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: 0.6108, 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: 0.5721, 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: 0.5783, 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: 0.5774, 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: 0.5765, 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: 0.5, 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: 0.578, f_measure: 0.3368, kappa: 0.1601, kb_relative_information_score: 266.3968, mean_absolute_error: 0.26, 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: 0.8244, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.2841, usercpu_time_millis: 2.197, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 2.123,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.3599, kappa: 0.1898, kb_relative_information_score: 295.2694, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.391, predictive_accuracy: 0.3782, prior_entropy: 2.281, recall: 0.3782, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.2559, usercpu_time_millis: 2.778, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 1.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.357, kappa: 0.1889, kb_relative_information_score: 291.5099, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3598, 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, usercpu_time_millis: 3.779, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.3332, kappa: 0.1855, kb_relative_information_score: 285.3127, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3362, predictive_accuracy: 0.3673, prior_entropy: 2.281, recall: 0.3673, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.2669, 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: 0.6018, f_measure: 0.3642, kappa: 0.206, kb_relative_information_score: 306.9654, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3741, predictive_accuracy: 0.3791, prior_entropy: 2.281, recall: 0.3791, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.255, usercpu_time_millis: 0.347, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.3409, kappa: 0.1627, kb_relative_information_score: 259.6609, mean_absolute_error: 0.2633, 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: 0.8348, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.2921, usercpu_time_millis: 4.24, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 3.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.4102, kappa: 0.2597, kb_relative_information_score: 360.6914, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4184, predictive_accuracy: 0.4255, prior_entropy: 2.281, recall: 0.4255, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.2072, usercpu_time_millis: 11.373, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 10.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.3913, kappa: 0.2332, kb_relative_information_score: 334.9489, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.402, predictive_accuracy: 0.4064, prior_entropy: 2.281, recall: 0.4064, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.2271, usercpu_time_millis: 17.166, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 16.024,
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: 0.596, f_measure: 0.3617, kappa: 0.1943, kb_relative_information_score: 295.0194, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3612, predictive_accuracy: 0.3691, prior_entropy: 2.281, recall: 0.3691, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.2651, usercpu_time_millis: 23.592, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 23.053,
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: 0.6152, f_measure: 0.3786, kappa: 0.2329, kb_relative_information_score: 332.9273, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.402, predictive_accuracy: 0.4036, prior_entropy: 2.281, recall: 0.4036, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.23, usercpu_time_millis: 369.254, usercpu_time_millis_testing: 8.287, usercpu_time_millis_training: 360.967,
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: 0.62, 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: 0.5, 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: 0.6263, f_measure: 0.408, kappa: 0.2553, kb_relative_information_score: 355.3197, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4135, predictive_accuracy: 0.42, prior_entropy: 2.281, recall: 0.42, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.3903, kappa: 0.2333, kb_relative_information_score: 338.5897, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.413, predictive_accuracy: 0.4073, prior_entropy: 2.281, recall: 0.4073, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.2262,
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, scimark_benchmark: 1199.7706, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.4216, kappa: 0.2729, kb_relative_information_score: 266.3793, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4238, predictive_accuracy: 0.4309, prior_entropy: 2.281, recall: 0.4309, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9341, scimark_benchmark: 1097.0321, usercpu_time_millis: 930, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 740,
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, scimark_benchmark: 1096.3574, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
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, scimark_benchmark: 1136.0227, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
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, scimark_benchmark: 813.551, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.3331, kappa: 0.1572, kb_relative_information_score: 247.1423, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3367, predictive_accuracy: 0.3318, prior_entropy: 2.281, recall: 0.3318, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0197, scimark_benchmark: 1110.8499, usercpu_time_millis: 320, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.3228, kappa: 0.1446, kb_relative_information_score: 225.331, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.322, predictive_accuracy: 0.3282, prior_entropy: 2.281, recall: 0.3282, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.9851, scimark_benchmark: 1296.9005, usercpu_time_millis: 270, usercpu_time_millis_testing: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.3128, kappa: 0.1287, kb_relative_information_score: 234.5388, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3158, predictive_accuracy: 0.3118, prior_entropy: 2.281, recall: 0.3118, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.2838, scimark_benchmark: 1349.3622, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.3054, kappa: 0.134, kb_relative_information_score: 160.0815, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3289, predictive_accuracy: 0.3336, prior_entropy: 2.281, recall: 0.3336, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.9779, scimark_benchmark: 802.8266, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.333, kappa: 0.1525, kb_relative_information_score: 254.1962, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3338, predictive_accuracy: 0.3327, prior_entropy: 2.281, recall: 0.3327, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.0844, scimark_benchmark: 1016.4693, usercpu_time_millis: 480, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.3035, kappa: 0.131, kb_relative_information_score: 160.6205, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3257, predictive_accuracy: 0.3309, prior_entropy: 2.281, recall: 0.3309, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.978, scimark_benchmark: 1078.1984, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3347, kappa: 0.1754, kb_relative_information_score: 228.1505, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3542, predictive_accuracy: 0.3555, prior_entropy: 2.281, recall: 0.3555, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.9862, scimark_benchmark: 1131.4466, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.3336, kappa: 0.1566, kb_relative_information_score: 253.0187, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3393, predictive_accuracy: 0.3318, prior_entropy: 2.281, recall: 0.3318, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4081, root_relative_squared_error: 1.0277, scimark_benchmark: 843.393, usercpu_time_millis: 150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.3375, kappa: 0.1608, kb_relative_information_score: 245.8951, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3372, predictive_accuracy: 0.3391, prior_entropy: 2.281, recall: 0.3391, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9878, scimark_benchmark: 1145.9074, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.2902, kappa: 0.1228, kb_relative_information_score: 285.2122, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3397, predictive_accuracy: 0.2945, prior_entropy: 2.281, recall: 0.2945, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.449, root_relative_squared_error: 1.1307, scimark_benchmark: 1122.2406, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.2843, kappa: 0.1066, kb_relative_information_score: 279.0913, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3131, predictive_accuracy: 0.2845, prior_entropy: 2.281, recall: 0.2845, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1337, scimark_benchmark: 1206.5336, usercpu_time_millis: 180, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2034, kappa: 0.0423, kb_relative_information_score: 120.7593, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.1851, predictive_accuracy: 0.2891, prior_entropy: 2.281, recall: 0.2891, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.991, scimark_benchmark: 788.2188, usercpu_time_millis: 1160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1150,
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: 664.5747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.2094, kappa: 0.0673, kb_relative_information_score: 126.3226, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.1857, predictive_accuracy: 0.3091, prior_entropy: 2.281, recall: 0.3091, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.9874, scimark_benchmark: 989.3169, usercpu_time_millis: 750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.3691, kappa: 0.2123, kb_relative_information_score: 217.7605, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3887, predictive_accuracy: 0.3882, prior_entropy: 2.281, recall: 0.3882, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.9681, scimark_benchmark: 1424.2912, usercpu_time_millis: 1610, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.3991, kappa: 0.2488, kb_relative_information_score: 273.633, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4074, predictive_accuracy: 0.4136, prior_entropy: 2.281, recall: 0.4136, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.9828, scimark_benchmark: 944.8364, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.3677, kappa: 0.209, kb_relative_information_score: 192.9804, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3839, predictive_accuracy: 0.3855, prior_entropy: 2.281, recall: 0.3855, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.9665, scimark_benchmark: 940.0109, usercpu_time_millis: 350, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.3315, kappa: 0.152, kb_relative_information_score: 180.8119, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3399, predictive_accuracy: 0.3418, prior_entropy: 2.281, recall: 0.3418, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9764, scimark_benchmark: 935.6931, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.3297, kappa: 0.1498, kb_relative_information_score: 149.5593, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3495, predictive_accuracy: 0.3464, prior_entropy: 2.281, recall: 0.3464, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9753, scimark_benchmark: 945.8307, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
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: 0.6593, 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: 0.7028, 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: 0.4946, 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: 0.5882, 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: 0.6836, 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: 0.6593, 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: 0.6049, 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: 0.4946, 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: 0.6497, 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: 0.6247, 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: 0.5748, 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: 0.4984, 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: 0.5971, 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: 0.6561, 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,

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

OpenML APIs