Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 146803 Supervised Classification credit-g 3485 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7452, kappa: 0.3737, kb_relative_information_score: 215.7437, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7447, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.71, kappa: 0.2802, kb_relative_information_score: 178.6924, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7181, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6996, kappa: 0.2617, kb_relative_information_score: 106.3617, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6955, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7412, kappa: 0.3687, kb_relative_information_score: 233.7412, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7385, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7412, kappa: 0.3687, kb_relative_information_score: 270.9763, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7385, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7402, kappa: 0.3675, kb_relative_information_score: 272.7791, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7118, kappa: 0.2913, kb_relative_information_score: 153.6429, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7089, predictive_accuracy: 0.727, prior_entropy: 0.8818, recall: 0.727, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.699, kappa: 0.2731, kb_relative_information_score: 265.4803, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6954, predictive_accuracy: 0.704, prior_entropy: 0.8818, recall: 0.704, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.702, kappa: 0.2659, kb_relative_information_score: 192.5896, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6987, predictive_accuracy: 0.719, prior_entropy: 0.8818, recall: 0.719, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6772, kappa: 0.1998, kb_relative_information_score: 150.0584, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7036, predictive_accuracy: 0.726, prior_entropy: 0.8818, recall: 0.726, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7501, kappa: 0.3954, kb_relative_information_score: 260.4733, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7486, kappa: 0.3815, kb_relative_information_score: 366.1754, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7491, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7072, kappa: 0.2774, kb_relative_information_score: 189.9375, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7056, predictive_accuracy: 0.726, prior_entropy: 0.8818, recall: 0.726, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.717, kappa: 0.2985, kb_relative_information_score: 188.3961, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7222, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.0954, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7245, kappa: 0.3224, kb_relative_information_score: 200.5606, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7227, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6896, kappa: 0.2314, kb_relative_information_score: 121.2273, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7296, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.0954, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.7156, kappa: 0.2957, kb_relative_information_score: 184.3629, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7186, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7097, kappa: 0.2861, kb_relative_information_score: 158.5408, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7066, predictive_accuracy: 0.725, prior_entropy: 0.8818, recall: 0.725, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7369, kappa: 0.3566, kb_relative_information_score: 253.1006, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7342, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7452, kappa: 0.3737, kb_relative_information_score: 381.824, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7447, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7532, kappa: 0.4, kb_relative_information_score: 249.8115, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7507, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6969, kappa: 0.2584, kb_relative_information_score: 161.0546, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7443, kappa: 0.3775, kb_relative_information_score: 274.5421, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7415, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7437, kappa: 0.3649, kb_relative_information_score: 174.8669, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.753, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7475, kappa: 0.388, kb_relative_information_score: 257.4039, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7447, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7421, kappa: 0.3706, kb_relative_information_score: 273.1971, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7394, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6969, kappa: 0.2584, kb_relative_information_score: 161.0546, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.6588, kappa: 0.1567, kb_relative_information_score: 277.1853, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6889, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7533, kappa: 0.4017, kb_relative_information_score: 237.543, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7507, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9123, scimark_benchmark: 1747.2047, usercpu_time_millis: 32.368, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 30.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7562, kappa: 0.4003, kb_relative_information_score: 210.6774, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7572, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8787, scimark_benchmark: 1862.3618, usercpu_time_millis: 16.443, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 15.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7598, kappa: 0.4104, kb_relative_information_score: 215.1366, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7598, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8795, scimark_benchmark: 1859.0014, usercpu_time_millis: 12.73, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 11.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7378, kappa: 0.3509, kb_relative_information_score: 201.7342, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7438, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8767, scimark_benchmark: 1870.2804, usercpu_time_millis: 11.075, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 10.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7384, kappa: 0.3546, kb_relative_information_score: 186.4771, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7403, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8984, scimark_benchmark: 1747.367, usercpu_time_millis: 11.219, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 10.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7571, kappa: 0.4018, kb_relative_information_score: 201.8789, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7593, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8807, scimark_benchmark: 1730.1254, usercpu_time_millis: 8.513, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 8.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7536, kappa: 0.3944, kb_relative_information_score: 214.2345, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7539, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8795, scimark_benchmark: 1742.7646, usercpu_time_millis: 10.645, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 10.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7145, kappa: 0.2905, kb_relative_information_score: 155.471, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8979, scimark_benchmark: 1868.784, usercpu_time_millis: 5.46, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 4.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7089, kappa: 0.2768, kb_relative_information_score: 155.3222, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7329, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8939, scimark_benchmark: 1746.804, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.746, kappa: 0.371, kb_relative_information_score: 198.2305, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7539, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8738, scimark_benchmark: 1723.6508, usercpu_time_millis: 14.773, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 13.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.763, kappa: 0.4167, kb_relative_information_score: 211.2783, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7652, predictive_accuracy: 0.776, prior_entropy: 0.8818, recall: 0.776, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8777, scimark_benchmark: 1752.4324, usercpu_time_millis: 11.825, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 11.076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7433, kappa: 0.3642, kb_relative_information_score: 191.9071, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7515, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8771, scimark_benchmark: 1711.2519, usercpu_time_millis: 8.415, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 7.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.602, kappa: 0.049, kb_relative_information_score: 99.9358, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7353, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.9235, scimark_benchmark: 1714.057, usercpu_time_millis: 2.777, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.5765, kb_relative_information_score: 75.2115, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.94, scimark_benchmark: 1732.7581, usercpu_time_millis: 3.077, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 2.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.5765, kb_relative_information_score: 77.3938, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9341, scimark_benchmark: 1752.9052, usercpu_time_millis: 3.273, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7257, kappa: 0.3187, kb_relative_information_score: 173.5656, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7425, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8837, scimark_benchmark: 1722.4155, usercpu_time_millis: 5.189, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 4.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.5765, kb_relative_information_score: 58.5852, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9529, scimark_benchmark: 1722.2545, usercpu_time_millis: 3.322, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 2.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7447, kappa: 0.3788, kb_relative_information_score: 230.3713, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7418, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8988, scimark_benchmark: 1857.8499, usercpu_time_millis: 22.043, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 20.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7606, kappa: 0.4124, kb_relative_information_score: 213.702, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7609, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8776, scimark_benchmark: 1835.621, usercpu_time_millis: 18.397, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 17.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7613, kappa: 0.4148, kb_relative_information_score: 213.5118, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7611, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8755, scimark_benchmark: 1844.6953, usercpu_time_millis: 16.936, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 16.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7601, kappa: 0.4116, kb_relative_information_score: 214.095, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7599, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8753, scimark_benchmark: 1864.9656, usercpu_time_millis: 14.863, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 13.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.6992, kappa: 0.2544, kb_relative_information_score: 158.5479, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7383, predictive_accuracy: 0.745, prior_entropy: 0.8818, recall: 0.745, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8893, scimark_benchmark: 1866.0766, usercpu_time_millis: 7.385, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 6.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7416, kappa: 0.3602, kb_relative_information_score: 195.4689, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7489, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8752, scimark_benchmark: 1843.1261, usercpu_time_millis: 9.176, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 8.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.6334, kappa: 0.1154, kb_relative_information_score: 115.4759, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.773, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.914, scimark_benchmark: 1864.9656, usercpu_time_millis: 3.055, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 2.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7032, kappa: 0.2627, kb_relative_information_score: 144.1044, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7127, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9085, scimark_benchmark: 1844.2371, usercpu_time_millis: 5.418, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 5.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7474, kappa: 0.375, kb_relative_information_score: 179.5128, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7536, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8806, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.622, kappa: 0.0894, kb_relative_information_score: 108.6491, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7444, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9179, scimark_benchmark: 1849.3014, usercpu_time_millis: 2.574, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 2.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7055, kappa: 0.2699, kb_relative_information_score: 154.6975, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7469, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1865.4965, usercpu_time_millis: 1.429, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.747, kappa: 0.3757, kb_relative_information_score: 202.153, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7498, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8778, scimark_benchmark: 1838.6023, usercpu_time_millis: 3.058, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.759, kappa: 0.408, kb_relative_information_score: 216.9596, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1835.621, usercpu_time_millis: 2.188, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 2.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1117, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1868.784, usercpu_time_millis: 1.05, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7118, kappa: 0.2841, kb_relative_information_score: 150.584, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7356, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8981, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.5903, kappa: 0.0278, kb_relative_information_score: 89.28, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.793, predictive_accuracy: 0.706, prior_entropy: 0.8818, recall: 0.706, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9303, scimark_benchmark: 1844.2371, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2777, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1833.5175, usercpu_time_millis: 1.596, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.622, kappa: 0.0894, kb_relative_information_score: 110.6184, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7444, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.42, root_relative_squared_error: 0.9165, scimark_benchmark: 1857.269, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.099,

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