OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 19920 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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19920 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9131, kappa: 0.8685, kb_relative_information_score: 4770.2616, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9135, predictive_accuracy: 0.9133, prior_entropy: 1.7151, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, kappa: 0.2847, kb_relative_information_score: 1779.8969, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5669, prior_entropy: 1.7151, recall: 0.5669, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, kappa: 0.1623, kb_relative_information_score: 1320.1152, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4985, prior_entropy: 1.7151, recall: 0.4985, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.2305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8209, kappa: 0.7254, kb_relative_information_score: 3999.1931, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8429, predictive_accuracy: 0.822, prior_entropy: 1.7151, recall: 0.822, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, kappa: 0.3178, kb_relative_information_score: 1907.0975, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.586, prior_entropy: 1.7151, recall: 0.586, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.455, root_relative_squared_error: 1.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9278, kappa: 0.8908, kb_relative_information_score: 4904.339, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 1.7151, recall: 0.9278, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7613, kappa: 0.6331, kb_relative_information_score: 3509.5679, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8176, predictive_accuracy: 0.765, prior_entropy: 1.7151, recall: 0.765, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7808, kappa: 0.673, kb_relative_information_score: 3773.3239, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7915, predictive_accuracy: 0.7883, prior_entropy: 1.7151, recall: 0.7883, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8308, kappa: 0.7442, kb_relative_information_score: 4146.2795, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8347, predictive_accuracy: 0.8332, prior_entropy: 1.7151, recall: 0.8332, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9305, kappa: 0.895, kb_relative_information_score: 4922.7595, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 1.7151, recall: 0.9305, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7029, kappa: 0.5559, kb_relative_information_score: 3161.8175, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7287, predictive_accuracy: 0.7159, prior_entropy: 1.7151, recall: 0.7159, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7423, kappa: 0.6046, kb_relative_information_score: 3357.8247, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8116, predictive_accuracy: 0.7476, prior_entropy: 1.7151, recall: 0.7476, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8915, kappa: 0.8355, kb_relative_information_score: 4584.6526, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8936, predictive_accuracy: 0.892, prior_entropy: 1.7151, recall: 0.892, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8787, kappa: 0.816, kb_relative_information_score: 4508.9239, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8795, predictive_accuracy: 0.8792, prior_entropy: 1.7151, recall: 0.8792, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8313, kappa: 0.742, kb_relative_information_score: 4080.9802, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.848, predictive_accuracy: 0.8327, prior_entropy: 1.7151, recall: 0.8327, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.5962, kappa: 0.4063, kb_relative_information_score: 2403.8625, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6789, predictive_accuracy: 0.6279, prior_entropy: 1.7151, recall: 0.6279, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4313, root_relative_squared_error: 1.0599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8779, kappa: 0.8145, kb_relative_information_score: 4467.2373, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8818, predictive_accuracy: 0.8787, prior_entropy: 1.7151, recall: 0.8787, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9064, kappa: 0.8583, kb_relative_information_score: 4715.8787, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.907, predictive_accuracy: 0.9067, prior_entropy: 1.7151, recall: 0.9067, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.216, root_relative_squared_error: 0.5307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7084, kappa: 0.5543, kb_relative_information_score: 3101.9378, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8039, predictive_accuracy: 0.717, prior_entropy: 1.7151, recall: 0.717, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8298, kappa: 0.7428, kb_relative_information_score: 4138.0616, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8337, predictive_accuracy: 0.8323, prior_entropy: 1.7151, recall: 0.8323, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7214, kappa: 0.5732, kb_relative_information_score: 3201.2928, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8069, predictive_accuracy: 0.7284, prior_entropy: 1.7151, recall: 0.7284, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8062, kappa: 0.7022, kb_relative_information_score: 3879.5217, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8357, predictive_accuracy: 0.8076, prior_entropy: 1.7151, recall: 0.8076, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0345, kb_relative_information_score: 827.7194, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4243, prior_entropy: 1.7151, recall: 0.4243, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.3184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9224, kappa: 0.8826, kb_relative_information_score: 4854.0275, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9225, predictive_accuracy: 0.9225, prior_entropy: 1.7151, recall: 0.9225, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9254, kappa: 0.8872, kb_relative_information_score: 4887.361, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9254, predictive_accuracy: 0.9254, prior_entropy: 1.7151, recall: 0.9254, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, kappa: 0.2496, kb_relative_information_score: 1649.5947, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5477, prior_entropy: 1.7151, recall: 0.5477, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.1687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9281, kappa: 0.8913, kb_relative_information_score: 4900.882, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9282, predictive_accuracy: 0.9282, prior_entropy: 1.7151, recall: 0.9282, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9048, kappa: 0.8558, kb_relative_information_score: 4702.1364, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9055, predictive_accuracy: 0.9051, prior_entropy: 1.7151, recall: 0.9051, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, kappa: 0.0358, kb_relative_information_score: 832.6134, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.425, prior_entropy: 1.7151, recall: 0.425, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7362, kappa: 0.6056, kb_relative_information_score: 3438.1754, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7558, predictive_accuracy: 0.7458, prior_entropy: 1.7151, recall: 0.7458, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.6776, kappa: 0.509, kb_relative_information_score: 2886.3666, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7967, predictive_accuracy: 0.6893, prior_entropy: 1.7151, recall: 0.6893, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.786, kappa: 0.6805, kb_relative_information_score: 3811.5492, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7966, predictive_accuracy: 0.7931, prior_entropy: 1.7151, recall: 0.7931, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.7904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7136, kappa: 0.5622, kb_relative_information_score: 3141.2479, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8037, predictive_accuracy: 0.7218, prior_entropy: 1.7151, recall: 0.7218, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, kappa: 0.3075, kb_relative_information_score: 1860.6787, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5784, prior_entropy: 1.7151, recall: 0.5784, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9248, kappa: 0.8864, kb_relative_information_score: 4883.46, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9248, predictive_accuracy: 0.9249, prior_entropy: 1.7151, recall: 0.9249, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9296, kappa: 0.8934, kb_relative_information_score: 4910.5078, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9297, predictive_accuracy: 0.9296, prior_entropy: 1.7151, recall: 0.9296, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8808, kappa: 0.8192, kb_relative_information_score: 4526.9979, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8815, predictive_accuracy: 0.8812, prior_entropy: 1.7151, recall: 0.8812, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9252, kappa: 0.887, kb_relative_information_score: 4885.65, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9252, predictive_accuracy: 0.9252, prior_entropy: 1.7151, recall: 0.9252, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9256, kappa: 0.8876, kb_relative_information_score: 4889.5854, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9256, predictive_accuracy: 0.9256, prior_entropy: 1.7151, recall: 0.9256, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7875, kappa: 0.6732, kb_relative_information_score: 3730.1172, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.827, predictive_accuracy: 0.7894, prior_entropy: 1.7151, recall: 0.7894, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, kappa: 0.3216, kb_relative_information_score: 1920.9952, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.588, prior_entropy: 1.7151, recall: 0.588, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8885, kappa: 0.8372, kb_relative_information_score: 4585.01, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9079, predictive_accuracy: 0.8911, prior_entropy: 1.7151, recall: 0.8911, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.3683, kappa: 0.0383, kb_relative_information_score: 344.8141, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3406, predictive_accuracy: 0.4117, prior_entropy: 1.7151, recall: 0.4117, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7207, kappa: 0.5815, kb_relative_information_score: 3300.9054, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7417, predictive_accuracy: 0.7311, prior_entropy: 1.7151, recall: 0.7311, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9154, kappa: 0.872, kb_relative_information_score: 4800.5644, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 1.7151, recall: 0.9155, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.8013, kappa: 0.7018, kb_relative_information_score: 3925.6397, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8086, predictive_accuracy: 0.8063, prior_entropy: 1.7151, recall: 0.8063, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.7648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5371.7945, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.3813, kappa: 0.0699, kb_relative_information_score: 247.9104, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3553, predictive_accuracy: 0.4371, prior_entropy: 1.7151, recall: 0.4371, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.6964, kappa: 0.5467, kb_relative_information_score: 3110.6109, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7246, predictive_accuracy: 0.7106, prior_entropy: 1.7151, recall: 0.7106, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8504, kappa: 0.772, kb_relative_information_score: 4242.056, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8602, predictive_accuracy: 0.8515, prior_entropy: 1.7151, recall: 0.8515, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.715, kappa: 0.5731, kb_relative_information_score: 3259.6543, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7377, predictive_accuracy: 0.726, prior_entropy: 1.7151, recall: 0.726, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.6907, kappa: 0.5386, kb_relative_information_score: 3064.7093, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7222, predictive_accuracy: 0.706, prior_entropy: 1.7151, recall: 0.706, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7731, kappa: 0.651, kb_relative_information_score: 3607.8674, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8215, predictive_accuracy: 0.7758, prior_entropy: 1.7151, recall: 0.7758, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7586, kappa: 0.6289, kb_relative_information_score: 3486.214, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8177, predictive_accuracy: 0.7625, prior_entropy: 1.7151, recall: 0.7625, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, kappa: 0.3066, kb_relative_information_score: 1857.1151, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5779, prior_entropy: 1.7151, recall: 0.5779, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.1289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6904, kappa: 0.5277, kb_relative_information_score: 2975.7315, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7978, predictive_accuracy: 0.7007, prior_entropy: 1.7151, recall: 0.7007, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9021, kappa: 0.8518, kb_relative_information_score: 4679.6185, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9031, predictive_accuracy: 0.9025, prior_entropy: 1.7151, recall: 0.9025, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9243, kappa: 0.8856, kb_relative_information_score: 4879.3093, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9243, predictive_accuracy: 0.9243, prior_entropy: 1.7151, recall: 0.9243, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7008, kappa: 0.5532, kb_relative_information_score: 3146.7937, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7276, predictive_accuracy: 0.7144, prior_entropy: 1.7151, recall: 0.7144, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9088, kappa: 0.862, kb_relative_information_score: 4748.8222, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 1.7151, recall: 0.9089, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7151, kappa: 0.5644, kb_relative_information_score: 3153.651, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8043, predictive_accuracy: 0.7231, prior_entropy: 1.7151, recall: 0.7231, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.657, kappa: 0.4919, kb_relative_information_score: 2828.222, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7097, predictive_accuracy: 0.6783, prior_entropy: 1.7151, recall: 0.6783, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.401, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9276, kappa: 0.8904, kb_relative_information_score: 4897.9342, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9277, predictive_accuracy: 0.9276, prior_entropy: 1.7151, recall: 0.9276, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9219, kappa: 0.8818, kb_relative_information_score: 4849.2169, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.922, predictive_accuracy: 0.9219, prior_entropy: 1.7151, recall: 0.9219, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9248, kappa: 0.8864, kb_relative_information_score: 4882.9319, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9248, predictive_accuracy: 0.9249, prior_entropy: 1.7151, recall: 0.9249, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 694.3067, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8998, kappa: 0.8483, kb_relative_information_score: 4152.6298, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9, predictive_accuracy: 0.9001, prior_entropy: 1.7151, recall: 0.9001, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9002, kappa: 0.8494, kb_relative_information_score: 4274.1149, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9002, predictive_accuracy: 0.9007, prior_entropy: 1.7151, recall: 0.9007, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8986, kappa: 0.8467, kb_relative_information_score: 4261.9287, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8987, predictive_accuracy: 0.8986, prior_entropy: 1.7151, recall: 0.8986, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7132, kappa: 0.5657, kb_relative_information_score: 2779.4303, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7227, predictive_accuracy: 0.7196, prior_entropy: 1.7151, recall: 0.7196, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7905, kappa: 0.6792, kb_relative_information_score: 3232.8516, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8254, predictive_accuracy: 0.7916, prior_entropy: 1.7151, recall: 0.7916, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.271, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 274.8232, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5357.774, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8136, kappa: 0.715, kb_relative_information_score: 3544.1158, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8356, predictive_accuracy: 0.8145, prior_entropy: 1.7151, recall: 0.8145, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5407.0374, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8425, kappa: 0.7601, kb_relative_information_score: 3821.0225, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8524, predictive_accuracy: 0.8433, prior_entropy: 1.7151, recall: 0.8433, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.6805, kappa: 0.5178, kb_relative_information_score: 2468.0245, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6873, predictive_accuracy: 0.6864, prior_entropy: 1.7151, recall: 0.6864, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5326.1578, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6716, kappa: 0.5128, kb_relative_information_score: 2475.3232, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6913, predictive_accuracy: 0.6771, prior_entropy: 1.7151, recall: 0.6771, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6886, kappa: 0.5308, kb_relative_information_score: 2525.5003, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6954, predictive_accuracy: 0.6941, prior_entropy: 1.7151, recall: 0.6941, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5379.6022, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.6935, kappa: 0.5353, kb_relative_information_score: 2622.6805, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7022, predictive_accuracy: 0.7003, prior_entropy: 1.7151, recall: 0.7003, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.733, kappa: 0.5933, kb_relative_information_score: 2817.0307, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7434, predictive_accuracy: 0.7361, prior_entropy: 1.7151, recall: 0.7361, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9045, kappa: 0.8559, kb_relative_information_score: 4242.6116, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9046, predictive_accuracy: 0.9049, prior_entropy: 1.7151, recall: 0.9049, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.7435, kappa: 0.618, kb_relative_information_score: 3031.8357, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7479, predictive_accuracy: 0.7487, prior_entropy: 1.7151, recall: 0.7487, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.298, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5339.2349, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0312, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5409.7503, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5385.3315, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.1041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8357, kappa: 0.7493, kb_relative_information_score: 3767.2907, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8482, predictive_accuracy: 0.8365, prior_entropy: 1.7151, recall: 0.8365, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7317, kappa: 0.5913, kb_relative_information_score: 2815.4746, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7421, predictive_accuracy: 0.7348, prior_entropy: 1.7151, recall: 0.7348, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5209.0634, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, kappa: 0.2078, kb_relative_information_score: 652.2671, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5176, prior_entropy: 1.7151, recall: 0.5176, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9973, kappa: 0.9958, kb_relative_information_score: 5393.6144, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0933,

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