Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 145972 Supervised Classification credit-g 82355 runs submitted
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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: 0.7434, 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: 0.6267, 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: 0.7791, 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: 0.7249, 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: 0.7155, 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: 0.7564, 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: 0.6398, 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: 0.7823, 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: 0.768, 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: 0.7818, 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: 0.5626, 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: 0.6398, 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: 0.7783, 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: 0.779, f_measure: 0.7531, kappa: 0.3937, kb_relative_information_score: 217.3612, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7529, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8897, scimark_benchmark: 754.1979, usercpu_time_millis: 32.922, usercpu_time_millis_testing: 1.576, usercpu_time_millis_training: 31.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7571, kappa: 0.4018, kb_relative_information_score: 206.1668, mean_absolute_error: 0.331, 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: 0.7879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8767, scimark_benchmark: 752.5935, usercpu_time_millis: 21.781, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 20.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7397, kappa: 0.3547, kb_relative_information_score: 188.3967, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7494, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8801, scimark_benchmark: 1739.2529, usercpu_time_millis: 12.665, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 11.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.757, kappa: 0.4023, kb_relative_information_score: 210.6508, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7583, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8734, scimark_benchmark: 1749.5794, usercpu_time_millis: 12.618, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 11.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7447, kappa: 0.3676, kb_relative_information_score: 191.4429, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7527, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.877, scimark_benchmark: 1756.4939, usercpu_time_millis: 10.704, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 9.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.6361, kappa: 0.1199, kb_relative_information_score: 119.1856, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7595, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.9125, scimark_benchmark: 753.9476, usercpu_time_millis: 6.428, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 5.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.4321, 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: 0.9995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 754.4089, usercpu_time_millis: 3.259, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 2.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6388, kappa: 0.1263, kb_relative_information_score: 116.6161, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7691, predictive_accuracy: 0.726, prior_entropy: 0.8818, recall: 0.726, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.9136, scimark_benchmark: 1755.7297, usercpu_time_millis: 6.132, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 5.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.4892, 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: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 755.2084, usercpu_time_millis: 1.346, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7413, kappa: 0.3596, kb_relative_information_score: 195.3532, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7475, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8777, scimark_benchmark: 1746.6883, usercpu_time_millis: 5.221, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 4.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2605, 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: 751.9717, usercpu_time_millis: 2.067, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.6929, kappa: 0.2374, kb_relative_information_score: 133.9152, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7148, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9108, scimark_benchmark: 1757.9164, usercpu_time_millis: 4.623, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 4.197,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7618, kappa: 0.4135, kb_relative_information_score: 209.0834, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.764, predictive_accuracy: 0.775, prior_entropy: 0.8818, recall: 0.775, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8749, scimark_benchmark: 1816.1347, usercpu_time_millis: 9.425, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 8.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7319, kappa: 0.3343, kb_relative_information_score: 186.2307, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7472, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8779, scimark_benchmark: 1826.3384, usercpu_time_millis: 6.29, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 5.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7561, kappa: 0.4008, kb_relative_information_score: 213.9353, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7563, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8764, scimark_benchmark: 1692.5115, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7551, kappa: 0.396, kb_relative_information_score: 204.4614, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7581, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8747, scimark_benchmark: 1843.9323, usercpu_time_millis: 13.765, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 12.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7559, kappa: 0.3985, kb_relative_information_score: 209.4739, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8733, scimark_benchmark: 1806.4716, usercpu_time_millis: 11.024, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 10.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7269, kappa: 0.3222, kb_relative_information_score: 171.876, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7384, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8881, scimark_benchmark: 1846.11, usercpu_time_millis: 6.504, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 5.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.5765, kb_relative_information_score: 60.0159, mean_absolute_error: 0.396, 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: 0.9426, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.95, scimark_benchmark: 1697.7126, usercpu_time_millis: 2.727, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 2.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7384, kappa: 0.3538, kb_relative_information_score: 187.9793, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7413, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8908, scimark_benchmark: 1844.952, usercpu_time_millis: 4.175, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 3.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7584, kappa: 0.405, kb_relative_information_score: 203.2995, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7605, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8781, scimark_benchmark: 1843.0992, usercpu_time_millis: 14.978, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 14.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.735, kappa: 0.3666, kb_relative_information_score: 240.0366, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.734, predictive_accuracy: 0.736, prior_entropy: 0.8818, recall: 0.736, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9685, scimark_benchmark: 1686.147, usercpu_time_millis: 40.109, usercpu_time_millis_testing: 2.661, usercpu_time_millis_training: 37.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.6712, kappa: 0.1864, kb_relative_information_score: 112.8086, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7038, predictive_accuracy: 0.725, prior_entropy: 0.8818, recall: 0.725, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9207, scimark_benchmark: 1845.7221, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7434, kappa: 0.365, kb_relative_information_score: 189.6169, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.75, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8834, scimark_benchmark: 1839.3369, usercpu_time_millis: 8.768, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 8.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7362, kappa: 0.3477, kb_relative_information_score: 184.671, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8884, scimark_benchmark: 1839.0955, usercpu_time_millis: 5.604, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 5.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.6945, kappa: 0.2424, kb_relative_information_score: 137.3514, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7282, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.9019, scimark_benchmark: 1836.6163, usercpu_time_millis: 3.689, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.5992, kappa: 0.0425, kb_relative_information_score: 97.5852, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7146, predictive_accuracy: 0.707, prior_entropy: 0.8818, recall: 0.707, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9229, scimark_benchmark: 1685.853, usercpu_time_millis: 4.092, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 3.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7222, kappa: 0.3107, kb_relative_information_score: 162.9993, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7315, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.897, scimark_benchmark: 1834.6321, usercpu_time_millis: 4.799, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 4.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.753, kappa: 0.3943, kb_relative_information_score: 213.7987, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7521, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8802, scimark_benchmark: 1724.5199, usercpu_time_millis: 19.97, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 18.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7495, kappa: 0.3865, kb_relative_information_score: 213.1655, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.748, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8812, scimark_benchmark: 1706.8374, usercpu_time_millis: 20.479, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 19.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7582, kappa: 0.406, kb_relative_information_score: 212.4649, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7585, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8768, scimark_benchmark: 1773.5339, usercpu_time_millis: 11.436, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 10.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7496, kappa: 0.3816, kb_relative_information_score: 197.0462, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829, scimark_benchmark: 1768.4244, usercpu_time_millis: 9.603, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 8.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7483, kappa: 0.3783, kb_relative_information_score: 199.8495, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8751, scimark_benchmark: 1758.7838, usercpu_time_millis: 8.348, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 7.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7191, kappa: 0.3025, kb_relative_information_score: 162.5529, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7526, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8857, scimark_benchmark: 1711.2857, usercpu_time_millis: 7.997, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 7.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.6528, kappa: 0.1541, kb_relative_information_score: 126.5795, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7518, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9073, scimark_benchmark: 1746.7683, usercpu_time_millis: 5.263, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 4.71,

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