Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, kb_relative_information_score: 33.7571, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.8439, kappa: 0.5037, kb_relative_information_score: 151.8283, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8415, predictive_accuracy: 0.8506, prior_entropy: 0.734, recall: 0.8506, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.811, kappa: 0.4599, kb_relative_information_score: 76.7187, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.83, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 12.4388, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -33.6054, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0213, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.8214, kappa: 0.4399, kb_relative_information_score: 148.2754, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8184, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -2.9032, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -91.6689, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0609, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 30.5954, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 142.9442, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -65.9746, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0429, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.6757, kappa: 0.0032, kb_relative_information_score: -554.4664, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6751, predictive_accuracy: 0.6762, prior_entropy: 0.734, recall: 0.6762, relative_absolute_error: 1.5601, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8336, kappa: 0.4699, kb_relative_information_score: 106.6685, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8306, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -40.6916, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.026, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -0.1879, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -67.9244, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0449, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -38.426, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.8239, kappa: 0.4889, kb_relative_information_score: 131.9314, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8376, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, kb_relative_information_score: 17.332, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, kb_relative_information_score: 73.4111, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -3.0421, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 13.8181, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8159, kappa: 0.3936, kb_relative_information_score: 112.9652, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8189, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7994, kappa: 0.3699, kb_relative_information_score: 122.813, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7955, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.2979, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -153.0021, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1071, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 1.0417, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8231, kappa: 0.4555, kb_relative_information_score: 120.398, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 13.4986, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -83.7244, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0555, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -45.0628, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0289, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 4.8397, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 7.5926, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 17.5181, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 78.6547, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8032, kappa: 0.392, kb_relative_information_score: 107.5998, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8019, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -78.4387, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.8089, kappa: 0.3607, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8257, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.8278, kappa: 0.4566, kb_relative_information_score: 210.8917, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8246, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.7583, kappa: 0.2198, kb_relative_information_score: 100.5922, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7491, predictive_accuracy: 0.7739, prior_entropy: 0.734, recall: 0.7739, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.1778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.8089, kappa: 0.3698, kb_relative_information_score: 203.7756, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8111, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.8368, kappa: 0.4787, kb_relative_information_score: 232.24, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8342, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.8143, kappa: 0.3951, kb_relative_information_score: 203.7756, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8126, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.8027, kappa: 0.3523, kb_relative_information_score: 189.5434, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8014, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.7694, kappa: 0.2746, kb_relative_information_score: 104.1502, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7643, predictive_accuracy: 0.7759, prior_entropy: 0.734, recall: 0.7759, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.7658, kappa: 0.2693, kb_relative_information_score: 93.4761, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7622, predictive_accuracy: 0.7701, prior_entropy: 0.734, recall: 0.7701, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.8084, kappa: 0.3626, kb_relative_information_score: 210.8917, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8172, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.7852, kappa: 0.2725, kb_relative_information_score: 203.7756, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8322, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.8143, kappa: 0.4195, kb_relative_information_score: 182.4273, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8114, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.7893, kappa: 0.3535, kb_relative_information_score: 129.0566, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7893, predictive_accuracy: 0.7893, prior_entropy: 0.734, recall: 0.7893, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7978, kappa: 0.3764, kb_relative_information_score: 146.8468, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7968, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7978, kappa: 0.3713, kb_relative_information_score: 150.4049, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7954, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4464, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.7356, kappa: 0.1023, kb_relative_information_score: 150.4049, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7643, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4464, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.7818, kappa: 0.2608, kb_relative_information_score: 200.2176, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8296, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7999, kappa: 0.3892, kb_relative_information_score: 146.8468, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.801, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.8268, kappa: 0.4358, kb_relative_information_score: 225.1239, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.7862, kappa: 0.3462, kb_relative_information_score: 121.9405, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7869, predictive_accuracy: 0.7854, prior_entropy: 0.734, recall: 0.7854, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.1474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.8089, kappa: 0.3607, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8257, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7793, kappa: 0.3275, kb_relative_information_score: 107.7083, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7809, predictive_accuracy: 0.7778, prior_entropy: 0.734, recall: 0.7778, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7791, kappa: 0.3095, kb_relative_information_score: 118.3824, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7754, predictive_accuracy: 0.7835, prior_entropy: 0.734, recall: 0.7835, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.77, kappa: 0.2882, kb_relative_information_score: 97.0341, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7681, predictive_accuracy: 0.772, prior_entropy: 0.734, recall: 0.772, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.1827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.7213, kappa: 0.1478, kb_relative_information_score: 0.9668, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7222, predictive_accuracy: 0.7203, prior_entropy: 0.734, recall: 0.7203, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.3101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.8144, kappa: 0.382, kb_relative_information_score: 221.5658, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.7263, kappa: 0.0723, kb_relative_information_score: 157.521, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8431, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.442, root_relative_squared_error: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4006, f_measure: 0.6115, kappa: -0.2023, kb_relative_information_score: -194.7259, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6081, predictive_accuracy: 0.6149, prior_entropy: 0.734, recall: 0.6149, relative_absolute_error: 1.179, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 143.2888, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.7458, kappa: 0.1368, kb_relative_information_score: 164.6371, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7948, predictive_accuracy: 0.8084, prior_entropy: 0.734, recall: 0.8084, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 139.7307, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.7442, kappa: 0.2178, kb_relative_information_score: 43.6634, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7451, predictive_accuracy: 0.7433, prior_entropy: 0.734, recall: 0.7433, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.2551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.7263, kappa: 0.0723, kb_relative_information_score: 157.521, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8431, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.442, root_relative_squared_error: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 139.7307, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.722, kappa: 0.0582, kb_relative_information_score: 153.9629, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8419, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.77, kappa: 0.2882, kb_relative_information_score: 97.0341, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7681, predictive_accuracy: 0.772, prior_entropy: 0.734, recall: 0.772, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.1827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.8184, kappa: 0.3972, kb_relative_information_score: 225.1239, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8281, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.8089, kappa: 0.3607, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8257, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.7852, kappa: 0.2725, kb_relative_information_score: 203.7756, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8322, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.8147, kappa: 0.3813, kb_relative_information_score: 225.1239, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8307, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.8128, kappa: 0.3773, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.823, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.7169, kappa: 0.1269, kb_relative_information_score: -2.5912, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7154, predictive_accuracy: 0.7184, prior_entropy: 0.734, recall: 0.7184, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.7346, kappa: 0.1719, kb_relative_information_score: 36.5473, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7303, predictive_accuracy: 0.7395, prior_entropy: 0.734, recall: 0.7395, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.7852, kappa: 0.2725, kb_relative_information_score: 203.7756, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8322, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.8176, kappa: 0.3914, kb_relative_information_score: 228.6819, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8332, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.7336, kappa: 0.1659, kb_relative_information_score: 36.5473, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7284, predictive_accuracy: 0.7395, prior_entropy: 0.734, recall: 0.7395, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.722, kappa: 0.0582, kb_relative_information_score: 153.9629, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8419, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.8019, kappa: 0.3458, kb_relative_information_score: 193.1015, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8031, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.8047, kappa: 0.3432, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8304, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 139.7307, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.8031, kappa: 0.3385, kb_relative_information_score: 214.4497, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.826, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.8208, kappa: 0.401, kb_relative_information_score: 235.798, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8407, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 139.7307, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 139.7307, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.812, kappa: 0.4066, kb_relative_information_score: 182.4273, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8081, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.7679, kappa: 0.2127, kb_relative_information_score: 185.9854, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8181, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.8084, kappa: 0.3626, kb_relative_information_score: 210.8917, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8172, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.7156, kappa: 0.0359, kb_relative_information_score: 143.2888, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7581, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.7356, kappa: 0.1052, kb_relative_information_score: 129.0566, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7335, predictive_accuracy: 0.7893, prior_entropy: 0.734, recall: 0.7893, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.7133, kappa: 0.0294, kb_relative_information_score: 146.8468, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8395, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.7004, kappa: -0.015, kb_relative_information_score: 125.4985, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6308, predictive_accuracy: 0.7874, prior_entropy: 0.734, recall: 0.7874, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.8147, kappa: 0.3813, kb_relative_information_score: 225.1239, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8307, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3946, f_measure: 0.6054, kappa: -0.2108, kb_relative_information_score: -212.5161, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6054, predictive_accuracy: 0.6054, prior_entropy: 0.734, recall: 0.6054, relative_absolute_error: 1.2083, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6282, root_relative_squared_error: 1.5561,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs