OpenML
Supervised Classification on autoUniv-au1-1000

Supervised Classification on autoUniv-au1-1000

Task 9909 Supervised Classification autoUniv-au1-1000 581 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7655, kappa: 0.3583, kb_relative_information_score: 141.203, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7664, predictive_accuracy: 0.784, prior_entropy: 0.826, recall: 0.784, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7735, kappa: 0.3788, kb_relative_information_score: 134.1361, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7776, predictive_accuracy: 0.793, prior_entropy: 0.826, recall: 0.793, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: -0.2949, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.7461, kappa: 0.2984, kb_relative_information_score: 121.9712, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7536, predictive_accuracy: 0.775, prior_entropy: 0.826, recall: 0.775, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7695, kappa: 0.3671, kb_relative_information_score: 119.8337, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7737, predictive_accuracy: 0.79, prior_entropy: 0.826, recall: 0.79, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7637, kappa: 0.351, kb_relative_information_score: 114.9443, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7673, predictive_accuracy: 0.785, prior_entropy: 0.826, recall: 0.785, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.6892, kappa: 0.1883, kb_relative_information_score: 105.9739, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6884, predictive_accuracy: 0.69, prior_entropy: 0.826, recall: 0.69, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7571, kappa: 0.3295, kb_relative_information_score: 117.1752, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7663, predictive_accuracy: 0.784, prior_entropy: 0.826, recall: 0.784, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7407, kappa: 0.2809, kb_relative_information_score: 91.5597, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7587, predictive_accuracy: 0.777, prior_entropy: 0.826, recall: 0.777, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.4285, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.4285, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.4285, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.6452, kappa: 0.0209, kb_relative_information_score: 1.3614, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6377, predictive_accuracy: 0.728, prior_entropy: 0.826, recall: 0.728, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4403, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.7446, kappa: 0.2966, kb_relative_information_score: 116.8697, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.747, predictive_accuracy: 0.77, prior_entropy: 0.826, recall: 0.77, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.7403, kappa: 0.2973, kb_relative_information_score: 175.9423, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.754, prior_entropy: 0.826, recall: 0.754, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4623, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.6308, kb_relative_information_score: 38.3374, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.7446, kappa: 0.2966, kb_relative_information_score: 116.8697, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.747, predictive_accuracy: 0.77, prior_entropy: 0.826, recall: 0.77, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.7526, kappa: 0.3132, kb_relative_information_score: 152.7364, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7864, predictive_accuracy: 0.791, prior_entropy: 0.826, recall: 0.791, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7716, kappa: 0.3678, kb_relative_information_score: 184.1473, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7917, predictive_accuracy: 0.8, prior_entropy: 0.826, recall: 0.8, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.6308, kb_relative_information_score: 26.4789, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7785, kappa: 0.3879, kb_relative_information_score: 215.7077, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7955, predictive_accuracy: 0.804, prior_entropy: 0.826, recall: 0.804, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7805, kappa: 0.3938, kb_relative_information_score: 228.6114, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7963, predictive_accuracy: 0.805, prior_entropy: 0.826, recall: 0.805, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7791, kappa: 0.3897, kb_relative_information_score: 239.4159, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7951, predictive_accuracy: 0.804, prior_entropy: 0.826, recall: 0.804, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7766, kappa: 0.3921, kb_relative_information_score: 162.7956, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.776, predictive_accuracy: 0.791, prior_entropy: 0.826, recall: 0.791, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6774, kappa: 0.1445, kb_relative_information_score: 40.8318, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.672, predictive_accuracy: 0.684, prior_entropy: 0.826, recall: 0.684, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.7809, kappa: 0.3966, kb_relative_information_score: 256.6252, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7917, predictive_accuracy: 0.803, prior_entropy: 0.826, recall: 0.803, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.6848, kappa: 0.1809, kb_relative_information_score: 88.6872, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6856, predictive_accuracy: 0.684, prior_entropy: 0.826, recall: 0.684, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.6737, kappa: 0.0955, kb_relative_information_score: 44.8261, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6872, predictive_accuracy: 0.74, prior_entropy: 0.826, recall: 0.74, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.658, kappa: 0.0524, kb_relative_information_score: 33.868, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6567, predictive_accuracy: 0.729, prior_entropy: 0.826, recall: 0.729, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4403, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7752, kappa: 0.383, kb_relative_information_score: 250.4908, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7802, predictive_accuracy: 0.795, prior_entropy: 0.826, recall: 0.795, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.6974, kappa: 0.1909, kb_relative_information_score: 173.5079, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6906, predictive_accuracy: 0.707, prior_entropy: 0.826, recall: 0.707, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6633, kappa: 0.1288, kb_relative_information_score: 55.9361, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6657, predictive_accuracy: 0.661, prior_entropy: 0.826, recall: 0.661, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.1829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7112, kappa: 0.1988, kb_relative_information_score: 72.5002, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7525, predictive_accuracy: 0.767, prior_entropy: 0.826, recall: 0.767, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.6944, kappa: 0.1513, kb_relative_information_score: 53.3133, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.703, predictive_accuracy: 0.745, prior_entropy: 0.826, recall: 0.745, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.736, kappa: 0.267, kb_relative_information_score: 82.1036, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7642, predictive_accuracy: 0.778, prior_entropy: 0.826, recall: 0.778, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6977, kappa: 0.1803, kb_relative_information_score: 65.7488, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6887, predictive_accuracy: 0.715, prior_entropy: 0.826, recall: 0.715, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.7633, kappa: 0.3524, kb_relative_information_score: 317.857, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7639, predictive_accuracy: 0.782, prior_entropy: 0.826, recall: 0.782, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4484, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.6441, kappa: 0.0319, kb_relative_information_score: 267.3162, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7742, predictive_accuracy: 0.746, prior_entropy: 0.826, recall: 0.746, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.504, root_relative_squared_error: 1.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6561, kappa: 0.0456, kb_relative_information_score: 28.1107, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6471, predictive_accuracy: 0.722, prior_entropy: 0.826, recall: 0.722, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7415, kappa: 0.3069, kb_relative_information_score: 75.4865, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7364, predictive_accuracy: 0.751, prior_entropy: 0.826, recall: 0.751, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.7676, kappa: 0.3584, kb_relative_information_score: 192.2019, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7789, predictive_accuracy: 0.793, prior_entropy: 0.826, recall: 0.793, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.6308, kb_relative_information_score: -15.4276, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6308, kb_relative_information_score: -20.7947, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1066, kb_relative_information_score: -552.2239, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.0671, predictive_accuracy: 0.259, prior_entropy: 0.826, recall: 0.259, relative_absolute_error: 1.3018, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7858, kappa: 0.4084, kb_relative_information_score: 202.2234, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.8036, predictive_accuracy: 0.81, prior_entropy: 0.826, recall: 0.81, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7867, kappa: 0.4148, kb_relative_information_score: 210.7703, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7929, predictive_accuracy: 0.805, prior_entropy: 0.826, recall: 0.805, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.781, kappa: 0.3956, kb_relative_information_score: 201.8465, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7958, predictive_accuracy: 0.805, prior_entropy: 0.826, recall: 0.805, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7857, kappa: 0.4093, kb_relative_information_score: 197.2416, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.799, predictive_accuracy: 0.808, prior_entropy: 0.826, recall: 0.808, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.393, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7869, kappa: 0.412, kb_relative_information_score: 186.75, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.8026, predictive_accuracy: 0.81, prior_entropy: 0.826, recall: 0.81, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.7782, kappa: 0.3876, kb_relative_information_score: 224.4241, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7934, predictive_accuracy: 0.803, prior_entropy: 0.826, recall: 0.803, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.9944, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.6448, kappa: 0.0314, kb_relative_information_score: 23.496, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.717, predictive_accuracy: 0.744, prior_entropy: 0.826, recall: 0.744, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7129, kappa: 0.2044, kb_relative_information_score: 68.2944, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7168, predictive_accuracy: 0.751, prior_entropy: 0.826, recall: 0.751, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.421, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7855, kappa: 0.408, kb_relative_information_score: 412.9957, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.8015, predictive_accuracy: 0.809, prior_entropy: 0.826, recall: 0.809, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.386, kappa: 0.0035, kb_relative_information_score: -769.8844, mean_absolute_error: 0.614, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6196, predictive_accuracy: 0.386, prior_entropy: 0.826, recall: 0.386, relative_absolute_error: 1.5987, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.7836, root_relative_squared_error: 1.7886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7631, kappa: 0.342, kb_relative_information_score: 428.6586, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.8112, predictive_accuracy: 0.802, prior_entropy: 0.826, recall: 0.802, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.445, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1066, kb_relative_information_score: -552.2239, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.0671, predictive_accuracy: 0.259, prior_entropy: 0.826, recall: 0.259, relative_absolute_error: 1.3018, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.6796, kappa: 0.1668, kb_relative_information_score: 74.2817, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6802, predictive_accuracy: 0.679, prior_entropy: 0.826, recall: 0.679, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.6518, kappa: 0.0342, kb_relative_information_score: 195.2622, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6407, predictive_accuracy: 0.721, prior_entropy: 0.826, recall: 0.721, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.2057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.7038, kappa: 0.1773, kb_relative_information_score: 66.0247, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7203, predictive_accuracy: 0.754, prior_entropy: 0.826, recall: 0.754, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.742, kappa: 0.2882, kb_relative_information_score: 103.5214, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.77, prior_entropy: 0.826, recall: 0.77, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6732, kappa: 0.0928, kb_relative_information_score: 43.4256, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6767, predictive_accuracy: 0.734, prior_entropy: 0.826, recall: 0.734, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.6308, kb_relative_information_score: -46.0069, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.6308, kb_relative_information_score: -46.7166, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.6308, kb_relative_information_score: -46.3702, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4417, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: -0.2949, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7772, kappa: 0.3876, kb_relative_information_score: 209.0503, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7843, predictive_accuracy: 0.798, prior_entropy: 0.826, recall: 0.798, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.698, kappa: 0.2109, kb_relative_information_score: 110.0041, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6971, predictive_accuracy: 0.699, prior_entropy: 0.826, recall: 0.699, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.658, kappa: 0.0524, kb_relative_information_score: 32.6673, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6567, predictive_accuracy: 0.729, prior_entropy: 0.826, recall: 0.729, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.761, kappa: 0.3431, kb_relative_information_score: 165.802, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7646, predictive_accuracy: 0.783, prior_entropy: 0.826, recall: 0.783, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.6788, kappa: 0.16, kb_relative_information_score: 77.1628, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.826, recall: 0.68, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: -0.2949, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7726, kappa: 0.3727, kb_relative_information_score: 223.0888, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7843, predictive_accuracy: 0.797, prior_entropy: 0.826, recall: 0.797, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6605, kappa: 0.0594, kb_relative_information_score: 35.2571, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6621, predictive_accuracy: 0.731, prior_entropy: 0.826, recall: 0.731, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.658, kappa: 0.0524, kb_relative_information_score: 32.6673, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6567, predictive_accuracy: 0.729, prior_entropy: 0.826, recall: 0.729, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9738,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6605, kappa: 0.0594, kb_relative_information_score: 35.2571, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6621, predictive_accuracy: 0.731, prior_entropy: 0.826, recall: 0.731, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.658, kappa: 0.0524, kb_relative_information_score: 32.6673, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6567, predictive_accuracy: 0.729, prior_entropy: 0.826, recall: 0.729, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6513, kappa: 0.0397, kb_relative_information_score: 26.2718, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6631, predictive_accuracy: 0.736, prior_entropy: 0.826, recall: 0.736, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9772, scimark_benchmark: 945.8307, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.658, kappa: 0.0524, kb_relative_information_score: 32.6673, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6567, predictive_accuracy: 0.729, prior_entropy: 0.826, recall: 0.729, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9738, scimark_benchmark: 901.458, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6771, kappa: 0.1083, kb_relative_information_score: 34.175, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7211, predictive_accuracy: 0.751, prior_entropy: 0.826, recall: 0.751, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9799, scimark_benchmark: 901.458, usercpu_time_millis: 540, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7718, kappa: 0.3681, kb_relative_information_score: 231.6803, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7941, predictive_accuracy: 0.801, prior_entropy: 0.826, recall: 0.801, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9097, scimark_benchmark: 944.2477, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.7198, kappa: 0.2236, kb_relative_information_score: 299.0085, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7263, predictive_accuracy: 0.757, prior_entropy: 0.826, recall: 0.757, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.493, root_relative_squared_error: 1.1252, scimark_benchmark: 1382.2073, usercpu_time_millis: 1220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6872, kappa: 0.1313, kb_relative_information_score: 91.0154, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6916, predictive_accuracy: 0.739, prior_entropy: 0.826, recall: 0.739, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9544, scimark_benchmark: 826.4075, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6719, kappa: 0.089, kb_relative_information_score: 40.7987, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6731, predictive_accuracy: 0.732, prior_entropy: 0.826, recall: 0.732, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9725, scimark_benchmark: 695.446, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6968, kappa: 0.1919, kb_relative_information_score: 60.6144, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6907, predictive_accuracy: 0.705, prior_entropy: 0.826, recall: 0.705, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9956, scimark_benchmark: 888.017, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7359, kappa: 0.277, kb_relative_information_score: 98.4873, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7326, predictive_accuracy: 0.757, prior_entropy: 0.826, recall: 0.757, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9551, scimark_benchmark: 1144.5269, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.673, kappa: 0.1408, kb_relative_information_score: 34.7892, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6703, predictive_accuracy: 0.676, prior_entropy: 0.826, recall: 0.676, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.0574, scimark_benchmark: 1124.4806, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.7371, kappa: 0.2787, kb_relative_information_score: 100.8078, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7352, predictive_accuracy: 0.76, prior_entropy: 0.826, recall: 0.76, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9504, scimark_benchmark: 1094.0784, usercpu_time_millis: 180, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7359, kappa: 0.277, kb_relative_information_score: 98.4873, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7326, predictive_accuracy: 0.757, prior_entropy: 0.826, recall: 0.757, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9551, scimark_benchmark: 759.7714, usercpu_time_millis: 150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20,

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

OpenML bootcamp

From your own software

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

OpenML APIs