Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 20428 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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20428 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.5384, kappa: 0.4907, kb_relative_information_score: 0.5399, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4824, predictive_accuracy: 0.6182, prior_entropy: 1.9991, recall: 0.6182, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4369, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8412, kappa: 0.7887, kb_relative_information_score: 0.8094, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8411, predictive_accuracy: 0.8416, prior_entropy: 1.9991, recall: 0.8416, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7993, kappa: 0.7336, kb_relative_information_score: 0.7598, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7987, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.316, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8116, kappa: 0.7509, kb_relative_information_score: 0.7754, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8103, predictive_accuracy: 0.8132, prior_entropy: 1.9991, recall: 0.8132, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8089, kappa: 0.7494, kb_relative_information_score: 0.7741, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8068, predictive_accuracy: 0.8121, prior_entropy: 1.9991, recall: 0.8121, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8425, kappa: 0.7887, kb_relative_information_score: 0.8093, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8436, predictive_accuracy: 0.8416, prior_entropy: 1.9991, recall: 0.8416, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.2873, kappa: 0.215, kb_relative_information_score: 0.288, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3985, predictive_accuracy: 0.4066, prior_entropy: 1.9991, recall: 0.4066, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4271, f_measure: 0.1056, kappa: -0.1464, kb_relative_information_score: -0.0424, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1445, predictive_accuracy: 0.1371, prior_entropy: 1.9991, recall: 0.1371, relative_absolute_error: 1.151, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.5237, kappa: 0.3533, kb_relative_information_score: 0.4132, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.558, predictive_accuracy: 0.5142, prior_entropy: 1.9991, recall: 0.5142, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4287, f_measure: 0.1078, kappa: -0.1431, kb_relative_information_score: -0.0394, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1563, predictive_accuracy: 0.1395, prior_entropy: 1.9991, recall: 0.1395, relative_absolute_error: 1.1478, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6559, root_relative_squared_error: 1.5152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8143, kappa: 0.7557, kb_relative_information_score: 0.7797, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8123, predictive_accuracy: 0.8168, prior_entropy: 1.9991, recall: 0.8168, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7902, kappa: 0.7257, kb_relative_information_score: 0.7527, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7875, predictive_accuracy: 0.7943, prior_entropy: 1.9991, recall: 0.7943, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.3878, kappa: 0.1922, kb_relative_information_score: 0.2696, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4223, predictive_accuracy: 0.3948, prior_entropy: 1.9991, recall: 0.3948, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.2707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7747, kappa: 0.7068, kb_relative_information_score: 0.7357, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7713, predictive_accuracy: 0.7801, prior_entropy: 1.9991, recall: 0.7801, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, kappa: 0.0161, kb_relative_information_score: 0.1138, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2695, prior_entropy: 1.9991, recall: 0.2695, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.3797, kappa: 0.2869, kb_relative_information_score: 0.3543, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4731, predictive_accuracy: 0.4622, prior_entropy: 1.9991, recall: 0.4622, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7861, kappa: 0.721, kb_relative_information_score: 0.7485, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7829, predictive_accuracy: 0.7908, prior_entropy: 1.9991, recall: 0.7908, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8312, kappa: 0.7746, kb_relative_information_score: 0.7967, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8317, predictive_accuracy: 0.831, prior_entropy: 1.9991, recall: 0.831, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8061, kappa: 0.7398, kb_relative_information_score: 0.7652, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8075, predictive_accuracy: 0.805, prior_entropy: 1.9991, recall: 0.805, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8499, kappa: 0.7998, kb_relative_information_score: 0.8195, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8501, predictive_accuracy: 0.8499, prior_entropy: 1.9991, recall: 0.8499, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.274, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7783, kappa: 0.702, kb_relative_information_score: 0.731, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7803, predictive_accuracy: 0.7766, prior_entropy: 1.9991, recall: 0.7766, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.6855, kappa: 0.5615, kb_relative_information_score: 0.6039, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7076, predictive_accuracy: 0.6714, prior_entropy: 1.9991, recall: 0.6714, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8006, kappa: 0.7352, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8003, predictive_accuracy: 0.8014, prior_entropy: 1.9991, recall: 0.8014, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.803, kappa: 0.7383, kb_relative_information_score: 0.7641, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8026, predictive_accuracy: 0.8038, prior_entropy: 1.9991, recall: 0.8038, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7856, kappa: 0.7211, kb_relative_information_score: 0.7486, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7823, predictive_accuracy: 0.7908, prior_entropy: 1.9991, recall: 0.7908, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7822, kappa: 0.7163, kb_relative_information_score: 0.7443, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.779, predictive_accuracy: 0.7872, prior_entropy: 1.9991, recall: 0.7872, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.732, kappa: 0.6565, kb_relative_information_score: 0.6902, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7276, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7928, kappa: 0.7224, kb_relative_information_score: 0.7494, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7944, predictive_accuracy: 0.792, prior_entropy: 1.9991, recall: 0.792, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.3801, kappa: 0.1595, kb_relative_information_score: 0.236, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4407, predictive_accuracy: 0.3676, prior_entropy: 1.9991, recall: 0.3676, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.2989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7504, kappa: 0.6785, kb_relative_information_score: 0.7101, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7461, predictive_accuracy: 0.7589, prior_entropy: 1.9991, recall: 0.7589, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8137, kappa: 0.7541, kb_relative_information_score: 0.7783, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8124, predictive_accuracy: 0.8156, prior_entropy: 1.9991, recall: 0.8156, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7188, kappa: 0.6423, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.719, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8534, kappa: 0.8029, kb_relative_information_score: 0.822, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.855, predictive_accuracy: 0.8522, prior_entropy: 1.9991, recall: 0.8522, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.6834, kappa: 0.5584, kb_relative_information_score: 0.601, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7062, predictive_accuracy: 0.669, prior_entropy: 1.9991, recall: 0.669, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8558, kappa: 0.8061, kb_relative_information_score: 0.8249, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.858, predictive_accuracy: 0.8546, prior_entropy: 1.9991, recall: 0.8546, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8231, kappa: 0.7635, kb_relative_information_score: 0.7867, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8236, predictive_accuracy: 0.8227, prior_entropy: 1.9991, recall: 0.8227, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8547, kappa: 0.8061, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8548, predictive_accuracy: 0.8546, prior_entropy: 1.9991, recall: 0.8546, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8569, kappa: 0.8092, kb_relative_information_score: 0.8281, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8569, predictive_accuracy: 0.857, prior_entropy: 1.9991, recall: 0.857, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8461, kappa: 0.795, kb_relative_information_score: 0.8151, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8462, predictive_accuracy: 0.8463, prior_entropy: 1.9991, recall: 0.8463, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8498, kappa: 0.7998, kb_relative_information_score: 0.8195, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8498, predictive_accuracy: 0.8499, prior_entropy: 1.9991, recall: 0.8499, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.274, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8392, kappa: 0.7856, kb_relative_information_score: 0.8067, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8392, predictive_accuracy: 0.8392, prior_entropy: 1.9991, recall: 0.8392, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7985, kappa: 0.7304, kb_relative_information_score: 0.7567, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7993, predictive_accuracy: 0.7979, prior_entropy: 1.9991, recall: 0.7979, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8514, kappa: 0.8013, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8517, predictive_accuracy: 0.8511, prior_entropy: 1.9991, recall: 0.8511, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8356, kappa: 0.7809, kb_relative_information_score: 0.8024, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8357, predictive_accuracy: 0.8357, prior_entropy: 1.9991, recall: 0.8357, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, kappa: 0.0367, kb_relative_information_score: 0.1314, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2837, prior_entropy: 1.9991, recall: 0.2837, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8512, kappa: 0.8013, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8515, predictive_accuracy: 0.8511, prior_entropy: 1.9991, recall: 0.8511, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.825, kappa: 0.7667, kb_relative_information_score: 0.7897, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8255, predictive_accuracy: 0.8251, prior_entropy: 1.9991, recall: 0.8251, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.5557, kappa: 0.4811, kb_relative_information_score: 0.531, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5887, predictive_accuracy: 0.6099, prior_entropy: 1.9991, recall: 0.6099, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.0201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7973, kappa: 0.7367, kb_relative_information_score: 0.7626, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7965, predictive_accuracy: 0.8026, prior_entropy: 1.9991, recall: 0.8026, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7945, kappa: 0.7289, kb_relative_information_score: 0.7556, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7931, predictive_accuracy: 0.7967, prior_entropy: 1.9991, recall: 0.7967, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7093, kappa: 0.6313, kb_relative_information_score: 0.6673, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7102, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.4018, kappa: 0.3087, kb_relative_information_score: 0.374, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4553, predictive_accuracy: 0.4787, prior_entropy: 1.9991, recall: 0.4787, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8392, kappa: 0.7856, kb_relative_information_score: 0.8067, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8393, predictive_accuracy: 0.8392, prior_entropy: 1.9991, recall: 0.8392, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7617, kappa: 0.6863, kb_relative_information_score: 0.7171, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7598, predictive_accuracy: 0.7648, prior_entropy: 1.9991, recall: 0.7648, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8336, kappa: 0.7777, kb_relative_information_score: 0.7996, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8339, predictive_accuracy: 0.8333, prior_entropy: 1.9991, recall: 0.8333, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7738, kappa: 0.7068, kb_relative_information_score: 0.7357, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7722, predictive_accuracy: 0.7801, prior_entropy: 1.9991, recall: 0.7801, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8255, kappa: 0.7667, kb_relative_information_score: 0.7896, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.826, predictive_accuracy: 0.8251, prior_entropy: 1.9991, recall: 0.8251, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.4007, kappa: 0.1994, kb_relative_information_score: 0.273, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.554, predictive_accuracy: 0.3972, prior_entropy: 1.9991, recall: 0.3972, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.549, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7813, kappa: 0.7147, kb_relative_information_score: 0.7429, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7781, predictive_accuracy: 0.7861, prior_entropy: 1.9991, recall: 0.7861, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7809, kappa: 0.7147, kb_relative_information_score: 0.7429, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7775, predictive_accuracy: 0.7861, prior_entropy: 1.9991, recall: 0.7861, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.2304, kappa: -0.0071, kb_relative_information_score: 0.0896, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2948, predictive_accuracy: 0.2459, prior_entropy: 1.9991, recall: 0.2459, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6141, root_relative_squared_error: 1.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7759, kappa: 0.7084, kb_relative_information_score: 0.7373, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7723, predictive_accuracy: 0.7813, prior_entropy: 1.9991, recall: 0.7813, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8076, kappa: 0.7478, kb_relative_information_score: 0.7726, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8053, predictive_accuracy: 0.8109, prior_entropy: 1.9991, recall: 0.8109, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.796, kappa: 0.7321, kb_relative_information_score: 0.7585, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7944, predictive_accuracy: 0.7991, prior_entropy: 1.9991, recall: 0.7991, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7484, kappa: 0.669, kb_relative_information_score: 0.7014, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7459, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8083, kappa: 0.7462, kb_relative_information_score: 0.7711, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8075, predictive_accuracy: 0.8097, prior_entropy: 1.9991, recall: 0.8097, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8305, kappa: 0.7762, kb_relative_information_score: 0.7982, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8301, predictive_accuracy: 0.8322, prior_entropy: 1.9991, recall: 0.8322, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8326, kappa: 0.7778, kb_relative_information_score: 0.7996, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8324, predictive_accuracy: 0.8333, prior_entropy: 1.9991, recall: 0.8333, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7049, kappa: 0.6093, kb_relative_information_score: 0.6469, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7111, predictive_accuracy: 0.7069, prior_entropy: 1.9991, recall: 0.7069, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.5182, kappa: 0.3567, kb_relative_information_score: 0.4169, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5736, predictive_accuracy: 0.5165, prior_entropy: 1.9991, recall: 0.5165, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.1357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.5856, kappa: 0.4442, kb_relative_information_score: 0.4965, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6267, predictive_accuracy: 0.5827, prior_entropy: 1.9991, recall: 0.5827, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.5795, kappa: 0.4365, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.624, predictive_accuracy: 0.5768, prior_entropy: 1.9991, recall: 0.5768, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6024, kappa: 0.4863, kb_relative_information_score: 0.5365, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6043, predictive_accuracy: 0.6147, prior_entropy: 1.9991, recall: 0.6147, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, kappa: 0.0161, kb_relative_information_score: 0.1138, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2695, prior_entropy: 1.9991, recall: 0.2695, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.4312, kappa: 0.338, kb_relative_information_score: 0.4009, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4552, predictive_accuracy: 0.5012, prior_entropy: 1.9991, recall: 0.5012, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, kappa: 0.0161, kb_relative_information_score: 0.1138, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2695, prior_entropy: 1.9991, recall: 0.2695, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, kappa: 0.2724, kb_relative_information_score: 0.3421, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.4563, prior_entropy: 1.9991, recall: 0.4563, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8434, kappa: 0.7919, kb_relative_information_score: 0.8124, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8432, predictive_accuracy: 0.844, prior_entropy: 1.9991, recall: 0.844, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8518, kappa: 0.8029, kb_relative_information_score: 0.8223, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8517, predictive_accuracy: 0.8522, prior_entropy: 1.9991, recall: 0.8522, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8416, kappa: 0.7888, kb_relative_information_score: 0.8096, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8418, predictive_accuracy: 0.8416, prior_entropy: 1.9991, recall: 0.8416, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8402, kappa: 0.7872, kb_relative_information_score: 0.808, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8402, predictive_accuracy: 0.8404, prior_entropy: 1.9991, recall: 0.8404, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8426, kappa: 0.7903, kb_relative_information_score: 0.8108, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8427, predictive_accuracy: 0.8428, prior_entropy: 1.9991, recall: 0.8428, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7977, kappa: 0.7288, kb_relative_information_score: 0.7553, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7991, predictive_accuracy: 0.7967, prior_entropy: 1.9991, recall: 0.7967, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8148, kappa: 0.7525, kb_relative_information_score: 0.7767, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8153, predictive_accuracy: 0.8144, prior_entropy: 1.9991, recall: 0.8144, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8157, kappa: 0.754, kb_relative_information_score: 0.7781, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8161, predictive_accuracy: 0.8156, prior_entropy: 1.9991, recall: 0.8156, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7865, kappa: 0.713, kb_relative_information_score: 0.741, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7888, predictive_accuracy: 0.7849, prior_entropy: 1.9991, recall: 0.7849, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.328, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8173, kappa: 0.7556, kb_relative_information_score: 0.7795, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.818, predictive_accuracy: 0.8168, prior_entropy: 1.9991, recall: 0.8168, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7914, kappa: 0.7257, kb_relative_information_score: 0.7528, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7894, predictive_accuracy: 0.7943, prior_entropy: 1.9991, recall: 0.7943, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7274, kappa: 0.6533, kb_relative_information_score: 0.6872, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7268, predictive_accuracy: 0.74, prior_entropy: 1.9991, recall: 0.74, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7085, kappa: 0.6377, kb_relative_information_score: 0.6729, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7174, predictive_accuracy: 0.7281, prior_entropy: 1.9991, recall: 0.7281, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7361, kappa: 0.6629, kb_relative_information_score: 0.6959, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7344, predictive_accuracy: 0.747, prior_entropy: 1.9991, recall: 0.747, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7116, kappa: 0.6393, kb_relative_information_score: 0.6743, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7186, predictive_accuracy: 0.7293, prior_entropy: 1.9991, recall: 0.7293, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8172, kappa: 0.7588, kb_relative_information_score: 0.7826, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8158, predictive_accuracy: 0.8191, prior_entropy: 1.9991, recall: 0.8191, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8116, kappa: 0.7525, kb_relative_information_score: 0.7769, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8095, predictive_accuracy: 0.8144, prior_entropy: 1.9991, recall: 0.8144, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8434, kappa: 0.7903, kb_relative_information_score: 0.8108, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8444, predictive_accuracy: 0.8428, prior_entropy: 1.9991, recall: 0.8428, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.3741, kappa: 0.1675, kb_relative_information_score: 0.2445, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5038, predictive_accuracy: 0.3735, prior_entropy: 1.9991, recall: 0.3735, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5597, root_relative_squared_error: 1.2928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7213, kappa: 0.647, kb_relative_information_score: 0.6815, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7229, predictive_accuracy: 0.7352, prior_entropy: 1.9991, recall: 0.7352, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.733, kappa: 0.6581, kb_relative_information_score: 0.6916, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7289, predictive_accuracy: 0.7435, prior_entropy: 1.9991, recall: 0.7435, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3254, kappa: 0.1175, kb_relative_information_score: 0.2002, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4395, predictive_accuracy: 0.3369, prior_entropy: 1.9991, recall: 0.3369, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8404, kappa: 0.7872, kb_relative_information_score: 0.8082, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8405, predictive_accuracy: 0.8404, prior_entropy: 1.9991, recall: 0.8404, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6525,

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