OpenML
Supervised Classification on OVA_Ovary

Supervised Classification on OVA_Ovary

Task 4000 Supervised Classification OVA_Ovary 190 runs submitted
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  • mythbusting_1 slow study_123 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.871, kappa: 0.3478, kb_relative_information_score: 396.1907, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8774, predictive_accuracy: 0.8926, prior_entropy: 0.5537, recall: 0.8926, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9229, kappa: 0.6335, kb_relative_information_score: 681.2087, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9233, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9212, kappa: 0.6204, kb_relative_information_score: 657.4483, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9239, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.919, kappa: 0.6232, kb_relative_information_score: 701.8656, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9176, predictive_accuracy: 0.9223, prior_entropy: 0.5537, recall: 0.9223, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.24, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.9153, kappa: 0.6156, kb_relative_information_score: 805.7002, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9143, predictive_accuracy: 0.9165, prior_entropy: 0.5537, recall: 0.9165, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9158, kappa: 0.6116, kb_relative_information_score: 822.5205, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9142, predictive_accuracy: 0.9184, prior_entropy: 0.5537, recall: 0.9184, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.9091, kappa: 0.5894, kb_relative_information_score: 738.1035, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9083, predictive_accuracy: 0.91, prior_entropy: 0.5537, recall: 0.91, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.8876, scimark_benchmark: 1150.4212, usercpu_time_millis: 27320, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 27210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8122, kb_relative_information_score: 6.6007, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3343, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9174, kappa: 0.6105, kb_relative_information_score: 452.8335, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9166, predictive_accuracy: 0.9223, prior_entropy: 0.5537, recall: 0.9223, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.9153, kappa: 0.6214, kb_relative_information_score: 794.2955, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9154, predictive_accuracy: 0.9152, prior_entropy: 0.5537, recall: 0.9152, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.9184, kappa: 0.624, kb_relative_information_score: 845.6163, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.917, predictive_accuracy: 0.921, prior_entropy: 0.5537, recall: 0.921, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.8122, kb_relative_information_score: -175.7159, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 1.0259, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9249, kappa: 0.6556, kb_relative_information_score: 896.2451, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9238, predictive_accuracy: 0.9269, prior_entropy: 0.5537, recall: 0.9269, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.9138, kappa: 0.6139, kb_relative_information_score: 770.3657, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9137, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8477, kappa: 0.467, kb_relative_information_score: -9.7297, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9053, predictive_accuracy: 0.8239, prior_entropy: 0.5537, recall: 0.8239, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.9381, kappa: 0.7109, kb_relative_information_score: 1017.53, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9381, predictive_accuracy: 0.9411, prior_entropy: 0.5537, recall: 0.9411, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.237, root_relative_squared_error: 0.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8984, kappa: 0.5315, kb_relative_information_score: 678.4095, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8962, predictive_accuracy: 0.9016, prior_entropy: 0.5537, recall: 0.9016, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8122, kb_relative_information_score: 38.7279, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9305, kappa: 0.6848, kb_relative_information_score: 891.433, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9298, predictive_accuracy: 0.9314, prior_entropy: 0.5537, recall: 0.9314, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9144, kappa: 0.6189, kb_relative_information_score: 584.6772, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9149, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9368, kappa: 0.7076, kb_relative_information_score: 874.9618, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9362, predictive_accuracy: 0.9392, prior_entropy: 0.5537, recall: 0.9392, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.9277, kappa: 0.6693, kb_relative_information_score: 911.7094, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9267, predictive_accuracy: 0.9295, prior_entropy: 0.5537, recall: 0.9295, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.9111, kappa: 0.5959, kb_relative_information_score: 755.5873, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.91, predictive_accuracy: 0.9126, prior_entropy: 0.5537, recall: 0.9126, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8947, kappa: 0.5774, kb_relative_information_score: 538.419, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9132, predictive_accuracy: 0.8854, prior_entropy: 0.5537, recall: 0.8854, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3356, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.9017, kappa: 0.5271, kb_relative_information_score: 746.3059, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9012, predictive_accuracy: 0.91, prior_entropy: 0.5537, recall: 0.91, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9138, kappa: 0.639, kb_relative_information_score: 734.8374, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9229, predictive_accuracy: 0.9087, prior_entropy: 0.5537, recall: 0.9087, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9297, kappa: 0.6756, kb_relative_information_score: 921.1823, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9287, predictive_accuracy: 0.932, prior_entropy: 0.5537, recall: 0.932, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.9351, kappa: 0.7003, kb_relative_information_score: 1001.4761, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9343, predictive_accuracy: 0.9372, prior_entropy: 0.5537, recall: 0.9372, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.937, kappa: 0.7146, kb_relative_information_score: 657.7035, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9364, predictive_accuracy: 0.9379, prior_entropy: 0.5537, recall: 0.9379, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9351, kappa: 0.7063, kb_relative_information_score: 776.9791, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9345, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8793, kappa: 0.456, kb_relative_information_score: -7.5264, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8785, predictive_accuracy: 0.8803, prior_entropy: 0.5537, recall: 0.8803, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8122, kb_relative_information_score: 412.241, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.358, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.9281, kappa: 0.6778, kb_relative_information_score: 908.3417, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.928, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.9344, kappa: 0.6947, kb_relative_information_score: 993.4754, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9339, predictive_accuracy: 0.9372, prior_entropy: 0.5537, recall: 0.9372, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.9131, kappa: 0.6072, kb_relative_information_score: 781.3941, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9123, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9311, kappa: 0.6852, kb_relative_information_score: 807.7241, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9302, predictive_accuracy: 0.9327, prior_entropy: 0.5537, recall: 0.9327, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.8975, kappa: 0.5404, kb_relative_information_score: 601.572, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8973, predictive_accuracy: 0.8977, prior_entropy: 0.5537, recall: 0.8977, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9344, kappa: 0.6894, kb_relative_information_score: 686.4145, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9354, predictive_accuracy: 0.9385, prior_entropy: 0.5537, recall: 0.9385, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9322, kappa: 0.6788, kb_relative_information_score: 655.8286, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9331, predictive_accuracy: 0.9366, prior_entropy: 0.5537, recall: 0.9366, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9249, kappa: 0.6385, kb_relative_information_score: 626.0211, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9278, predictive_accuracy: 0.9314, prior_entropy: 0.5537, recall: 0.9314, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9102, kappa: 0.5637, kb_relative_information_score: 598.4161, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9129, predictive_accuracy: 0.9191, prior_entropy: 0.5537, recall: 0.9191, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8827, kappa: 0.4109, kb_relative_information_score: 384.0539, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8908, predictive_accuracy: 0.901, prior_entropy: 0.5537, recall: 0.901, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9028, kappa: 0.5234, kb_relative_information_score: 571.6749, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9067, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9013, kappa: 0.51, kb_relative_information_score: 537.9894, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9096, predictive_accuracy: 0.9146, prior_entropy: 0.5537, recall: 0.9146, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8909, kappa: 0.4517, kb_relative_information_score: 491.9919, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9081, prior_entropy: 0.5537, recall: 0.9081, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9278, kappa: 0.6671, kb_relative_information_score: 776.8444, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9267, predictive_accuracy: 0.9301, prior_entropy: 0.5537, recall: 0.9301, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9417, kappa: 0.7336, kb_relative_information_score: 846.9662, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9411, predictive_accuracy: 0.943, prior_entropy: 0.5537, recall: 0.943, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.935, kappa: 0.6878, kb_relative_information_score: 763.7064, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9389, predictive_accuracy: 0.9405, prior_entropy: 0.5537, recall: 0.9405, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9348, kappa: 0.7037, kb_relative_information_score: 781.6785, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9341, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8931, kappa: 0.4831, kb_relative_information_score: 306.9508, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.892, predictive_accuracy: 0.9029, prior_entropy: 0.5537, recall: 0.9029, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8909, kappa: 0.4517, kb_relative_information_score: 467.5567, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9081, prior_entropy: 0.5537, recall: 0.9081, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.247, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8793, kappa: 0.3878, kb_relative_information_score: 416.9059, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8922, predictive_accuracy: 0.9003, prior_entropy: 0.5537, recall: 0.9003, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.8122, kb_relative_information_score: -2.5136, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3343, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9243, kappa: 0.6581, kb_relative_information_score: 742.2398, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9237, predictive_accuracy: 0.9249, prior_entropy: 0.5537, recall: 0.9249, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.6968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8762, kappa: 0.3703, kb_relative_information_score: 406.0327, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8895, predictive_accuracy: 0.8984, prior_entropy: 0.5537, recall: 0.8984, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.868, kappa: 0.3241, kb_relative_information_score: 355.7158, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8836, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9179, kappa: 0.6217, kb_relative_information_score: 605.8988, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9164, predictive_accuracy: 0.9204, prior_entropy: 0.5537, recall: 0.9204, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.8601, kappa: 0.3653, kb_relative_information_score: 327.707, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8583, predictive_accuracy: 0.8621, prior_entropy: 0.5537, recall: 0.8621, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.1094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8626, kappa: 0.2897, kb_relative_information_score: 338.8285, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8866, predictive_accuracy: 0.8926, prior_entropy: 0.5537, recall: 0.8926, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8499, kappa: 0.217, kb_relative_information_score: 268.1037, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8774, predictive_accuracy: 0.8861, prior_entropy: 0.5537, recall: 0.8861, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.27, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8872, kappa: 0.5406, kb_relative_information_score: 327.4444, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9029, predictive_accuracy: 0.8783, prior_entropy: 0.5537, recall: 0.8783, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.9118, kappa: 0.6132, kb_relative_information_score: 535.9555, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.914, predictive_accuracy: 0.91, prior_entropy: 0.5537, recall: 0.91, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.9177, kappa: 0.6123, kb_relative_information_score: 611.192, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9167, predictive_accuracy: 0.9223, prior_entropy: 0.5537, recall: 0.9223, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.918, kappa: 0.6079, kb_relative_information_score: 627.0733, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9187, predictive_accuracy: 0.9243, prior_entropy: 0.5537, recall: 0.9243, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.7848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.9157, kappa: 0.6084, kb_relative_information_score: 631.4021, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9142, predictive_accuracy: 0.9191, prior_entropy: 0.5537, recall: 0.9191, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.9154, kappa: 0.5965, kb_relative_information_score: 735.5214, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9156, predictive_accuracy: 0.9217, prior_entropy: 0.5537, recall: 0.9217, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.7827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.9196, kappa: 0.6393, kb_relative_information_score: 687.0884, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9194, predictive_accuracy: 0.9197, prior_entropy: 0.5537, recall: 0.9197, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.9322, kappa: 0.6865, kb_relative_information_score: 793.4851, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9314, predictive_accuracy: 0.9346, prior_entropy: 0.5537, recall: 0.9346, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.234, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.9308, kappa: 0.6823, kb_relative_information_score: 819.4977, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9298, predictive_accuracy: 0.9327, prior_entropy: 0.5537, recall: 0.9327, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.9263, kappa: 0.6594, kb_relative_information_score: 817.327, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9252, predictive_accuracy: 0.9288, prior_entropy: 0.5537, recall: 0.9288, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.9309, kappa: 0.6803, kb_relative_information_score: 953.9601, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.93, predictive_accuracy: 0.9333, prior_entropy: 0.5537, recall: 0.9333, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.9223, kappa: 0.6435, kb_relative_information_score: 812.2092, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.921, predictive_accuracy: 0.9243, prior_entropy: 0.5537, recall: 0.9243, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9189, kappa: 0.6302, kb_relative_information_score: 809.0477, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9177, predictive_accuracy: 0.9204, prior_entropy: 0.5537, recall: 0.9204, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.8755, kappa: 0.3905, kb_relative_information_score: 579.7141, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8731, predictive_accuracy: 0.8893, prior_entropy: 0.5537, recall: 0.8893, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.9132, kappa: 0.6058, kb_relative_information_score: 785.407, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9121, predictive_accuracy: 0.9146, prior_entropy: 0.5537, recall: 0.9146, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.8444, kappa: 0.314, kb_relative_information_score: 149.9349, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8468, predictive_accuracy: 0.8421, prior_entropy: 0.5537, recall: 0.8421, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.1889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8961, kappa: 0.5028, kb_relative_information_score: 690.554, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8943, predictive_accuracy: 0.9042, prior_entropy: 0.5537, recall: 0.9042, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8862, kappa: 0.5303, kb_relative_information_score: 450.2301, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8992, predictive_accuracy: 0.8783, prior_entropy: 0.5537, recall: 0.8783, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.9119, kappa: 0.603, kb_relative_information_score: 764.8317, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9113, predictive_accuracy: 0.9126, prior_entropy: 0.5537, recall: 0.9126, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8827, kappa: 0.432, kb_relative_information_score: 603.8418, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8803, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8322, kappa: 0.1139, kb_relative_information_score: 226.9965, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8791, predictive_accuracy: 0.8796, prior_entropy: 0.5537, recall: 0.8796, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8724, kappa: 0.3467, kb_relative_information_score: 383.2182, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8899, predictive_accuracy: 0.8971, prior_entropy: 0.5537, recall: 0.8971, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.9039, kappa: 0.5385, kb_relative_information_score: 765.784, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9036, predictive_accuracy: 0.912, prior_entropy: 0.5537, recall: 0.912, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8652, kappa: 0.4911, kb_relative_information_score: 171.9342, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9001, predictive_accuracy: 0.8485, prior_entropy: 0.5537, recall: 0.8485, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3658, root_relative_squared_error: 1.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8974, kappa: 0.5005, kb_relative_information_score: 298.2038, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8985, predictive_accuracy: 0.9081, prior_entropy: 0.5537, recall: 0.9081, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9265, kappa: 0.6585, kb_relative_information_score: 730.2541, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9255, predictive_accuracy: 0.9295, prior_entropy: 0.5537, recall: 0.9295, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.9261, kappa: 0.6662, kb_relative_information_score: 896.9371, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9255, predictive_accuracy: 0.9269, prior_entropy: 0.5537, recall: 0.9269, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8686, kappa: 0.4543, kb_relative_information_score: 94.0196, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8811, predictive_accuracy: 0.8602, prior_entropy: 0.5537, recall: 0.8602, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9137, kappa: 0.6047, kb_relative_information_score: 547.1604, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9123, predictive_accuracy: 0.9159, prior_entropy: 0.5537, recall: 0.9159, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.8122, kb_relative_information_score: -4033.5015, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 2.2168, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9445, kappa: 0.7413, kb_relative_information_score: 821.7816, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9446, predictive_accuracy: 0.9469, prior_entropy: 0.5537, recall: 0.9469, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.9164, kappa: 0.6092, kb_relative_information_score: 721.0891, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.915, predictive_accuracy: 0.9204, prior_entropy: 0.5537, recall: 0.9204, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9337, kappa: 0.6941, kb_relative_information_score: 727.5607, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9329, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9329, kappa: 0.6849, kb_relative_information_score: 784.8478, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.933, predictive_accuracy: 0.9366, prior_entropy: 0.5537, recall: 0.9366, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9368, kappa: 0.7076, kb_relative_information_score: 828.9005, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9362, predictive_accuracy: 0.9392, prior_entropy: 0.5537, recall: 0.9392, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.876, kappa: 0.3924, kb_relative_information_score: 363.3046, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8739, predictive_accuracy: 0.89, prior_entropy: 0.5537, recall: 0.89, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9331, kappa: 0.6884, kb_relative_information_score: 900.6743, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9325, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0291, kb_relative_information_score: -6139.7091, mean_absolute_error: 0.8718, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.0164, predictive_accuracy: 0.1282, prior_entropy: 0.5537, recall: 0.1282, relative_absolute_error: 3.8953, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.9337, root_relative_squared_error: 2.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8122, kb_relative_information_score: 412.241, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.358, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.8134, kappa: 0.0075, kb_relative_information_score: -4043.3854, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8246, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 2.2223, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.488,

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