Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 150646 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

150646 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.8173, kappa: 0.2722, kb_relative_information_score: 4.6072, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.811, predictive_accuracy: 0.8255, prior_entropy: 0.622, recall: 0.8255, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3707, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.8073, kappa: 0.2117, kb_relative_information_score: 36.7011, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7973, predictive_accuracy: 0.8231, prior_entropy: 0.622, recall: 0.8231, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3624, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.8147, kappa: 0.2602, kb_relative_information_score: 69.3529, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.808, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.37, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.8171, kappa: 0.2681, kb_relative_information_score: 50.5403, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8103, predictive_accuracy: 0.8265, prior_entropy: 0.622, recall: 0.8265, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3701, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.8063, kappa: 0.2061, kb_relative_information_score: -40.0051, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.796, predictive_accuracy: 0.8227, prior_entropy: 0.622, recall: 0.8227, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.8128, kappa: 0.2512, kb_relative_information_score: 16.0065, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8057, predictive_accuracy: 0.8222, prior_entropy: 0.622, recall: 0.8222, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.8194, kappa: 0.271, kb_relative_information_score: 0.6307, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8119, predictive_accuracy: 0.8307, prior_entropy: 0.622, recall: 0.8307, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.369, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.8145, kappa: 0.2312, kb_relative_information_score: 21.7658, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.805, predictive_accuracy: 0.8336, prior_entropy: 0.622, recall: 0.8336, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.8083, kappa: 0.2119, kb_relative_information_score: -12.7742, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7981, predictive_accuracy: 0.8255, prior_entropy: 0.622, recall: 0.8255, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3629, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.8077, kappa: 0.2126, kb_relative_information_score: -28.4157, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7976, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.816, kappa: 0.2404, kb_relative_information_score: 8.5439, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8068, predictive_accuracy: 0.8336, prior_entropy: 0.622, recall: 0.8336, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.8128, kappa: 0.2248, kb_relative_information_score: -0.0688, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.803, predictive_accuracy: 0.8317, prior_entropy: 0.622, recall: 0.8317, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.8077, kappa: 0.214, kb_relative_information_score: -28.8882, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7978, predictive_accuracy: 0.8231, prior_entropy: 0.622, recall: 0.8231, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.8142, kappa: 0.2624, kb_relative_information_score: 136.0656, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8082, predictive_accuracy: 0.8217, prior_entropy: 0.622, recall: 0.8217, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.8167, kappa: 0.2598, kb_relative_information_score: 52.7163, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8089, predictive_accuracy: 0.8284, prior_entropy: 0.622, recall: 0.8284, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3636, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.8159, kappa: 0.2366, kb_relative_information_score: 14.4096, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8067, predictive_accuracy: 0.835, prior_entropy: 0.622, recall: 0.835, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.8149, kappa: 0.257, kb_relative_information_score: 33.9896, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8076, predictive_accuracy: 0.825, prior_entropy: 0.622, recall: 0.825, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3752, root_relative_squared_error: 1.0378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.8135, kappa: 0.2268, kb_relative_information_score: 13.0924, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8038, predictive_accuracy: 0.8326, prior_entropy: 0.622, recall: 0.8326, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.8173, kappa: 0.2446, kb_relative_information_score: 12.6942, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8084, predictive_accuracy: 0.8355, prior_entropy: 0.622, recall: 0.8355, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.8165, kappa: 0.2566, kb_relative_information_score: 42.903, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8084, predictive_accuracy: 0.8288, prior_entropy: 0.622, recall: 0.8288, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3655, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.8224, kappa: 0.2994, kb_relative_information_score: 80.9039, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8176, predictive_accuracy: 0.8284, prior_entropy: 0.622, recall: 0.8284, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.37, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.8188, kappa: 0.2669, kb_relative_information_score: -0.7197, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.811, predictive_accuracy: 0.8307, prior_entropy: 0.622, recall: 0.8307, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3691, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.8063, kappa: 0.1957, kb_relative_information_score: -59.5723, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7952, predictive_accuracy: 0.8269, prior_entropy: 0.622, recall: 0.8269, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.823, kappa: 0.3022, kb_relative_information_score: 86.7073, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8183, predictive_accuracy: 0.8288, prior_entropy: 0.622, recall: 0.8288, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.8246, kappa: 0.309, kb_relative_information_score: 106.018, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8201, predictive_accuracy: 0.8303, prior_entropy: 0.622, recall: 0.8303, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.8104, kappa: 0.2191, kb_relative_information_score: 46.0457, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8004, predictive_accuracy: 0.8279, prior_entropy: 0.622, recall: 0.8279, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.8169, kappa: 0.2651, kb_relative_information_score: 43.5074, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8097, predictive_accuracy: 0.8269, prior_entropy: 0.622, recall: 0.8269, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.8062, kappa: 0.2005, kb_relative_information_score: -24.0017, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7954, predictive_accuracy: 0.8246, prior_entropy: 0.622, recall: 0.8246, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.8083, kappa: 0.2159, kb_relative_information_score: -25.5784, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7985, predictive_accuracy: 0.8241, prior_entropy: 0.622, recall: 0.8241, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.8187, kappa: 0.2425, kb_relative_information_score: 14.0235, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8103, predictive_accuracy: 0.8397, prior_entropy: 0.622, recall: 0.8397, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.349, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.8086, kappa: 0.2115, kb_relative_information_score: -43.7159, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7983, predictive_accuracy: 0.8265, prior_entropy: 0.622, recall: 0.8265, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.8108, kappa: 0.2432, kb_relative_information_score: 51.3968, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8036, predictive_accuracy: 0.8203, prior_entropy: 0.622, recall: 0.8203, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.0937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.8138, kappa: 0.218, kb_relative_information_score: -48.7397, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8047, predictive_accuracy: 0.8374, prior_entropy: 0.622, recall: 0.8374, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.8256, kappa: 0.3162, kb_relative_information_score: 119.8253, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8218, predictive_accuracy: 0.8303, prior_entropy: 0.622, recall: 0.8303, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.804, kappa: 0.1904, kb_relative_information_score: -39.3624, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7928, predictive_accuracy: 0.8231, prior_entropy: 0.622, recall: 0.8231, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.8073, kappa: 0.2117, kb_relative_information_score: -37.0616, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7973, predictive_accuracy: 0.8231, prior_entropy: 0.622, recall: 0.8231, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.8128, kappa: 0.2149, kb_relative_information_score: 16.166, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8033, predictive_accuracy: 0.8359, prior_entropy: 0.622, recall: 0.8359, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.8101, kappa: 0.2221, kb_relative_information_score: 46.2515, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8003, predictive_accuracy: 0.826, prior_entropy: 0.622, recall: 0.826, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.8104, kappa: 0.2282, kb_relative_information_score: 3.6727, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8012, predictive_accuracy: 0.8246, prior_entropy: 0.622, recall: 0.8246, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3675, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.8153, kappa: 0.2396, kb_relative_information_score: -21.5173, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.806, predictive_accuracy: 0.8321, prior_entropy: 0.622, recall: 0.8321, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3663, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.8167, kappa: 0.279, kb_relative_information_score: 96.3628, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8121, predictive_accuracy: 0.8222, prior_entropy: 0.622, recall: 0.8222, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.0936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.8212, kappa: 0.2973, kb_relative_information_score: 93.0441, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8169, predictive_accuracy: 0.8265, prior_entropy: 0.622, recall: 0.8265, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3828, root_relative_squared_error: 1.0589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.8192, kappa: 0.2858, kb_relative_information_score: 70.8337, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8141, predictive_accuracy: 0.8255, prior_entropy: 0.622, recall: 0.8255, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.8175, kappa: 0.2752, kb_relative_information_score: 47.3194, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8116, predictive_accuracy: 0.825, prior_entropy: 0.622, recall: 0.825, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.8172, kappa: 0.237, kb_relative_information_score: -1.3539, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8086, predictive_accuracy: 0.8383, prior_entropy: 0.622, recall: 0.8383, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.8166, kappa: 0.2692, kb_relative_information_score: 6.7405, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8103, predictive_accuracy: 0.825, prior_entropy: 0.622, recall: 0.825, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.8052, kappa: 0.2018, kb_relative_information_score: -39.4481, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7948, predictive_accuracy: 0.8217, prior_entropy: 0.622, recall: 0.8217, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.8058, kappa: 0.1995, kb_relative_information_score: -58.3247, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.795, predictive_accuracy: 0.8241, prior_entropy: 0.622, recall: 0.8241, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.8087, kappa: 0.2129, kb_relative_information_score: -54.0003, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7984, predictive_accuracy: 0.826, prior_entropy: 0.622, recall: 0.826, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.8084, kappa: 0.2172, kb_relative_information_score: -52.022, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7986, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.8166, kappa: 0.2485, kb_relative_information_score: 1.0264, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8078, predictive_accuracy: 0.8321, prior_entropy: 0.622, recall: 0.8321, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.808, kappa: 0.2095, kb_relative_information_score: -21.7446, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7976, predictive_accuracy: 0.8255, prior_entropy: 0.622, recall: 0.8255, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.365, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.8067, kappa: 0.1967, kb_relative_information_score: -56.6989, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7956, predictive_accuracy: 0.8274, prior_entropy: 0.622, recall: 0.8274, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.355, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.807, kappa: 0.2094, kb_relative_information_score: -27.9138, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7968, predictive_accuracy: 0.8231, prior_entropy: 0.622, recall: 0.8231, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.8139, kappa: 0.2665, kb_relative_information_score: 133.8628, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8089, predictive_accuracy: 0.8198, prior_entropy: 0.622, recall: 0.8198, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.1355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.8163, kappa: 0.2682, kb_relative_information_score: 14.2227, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.81, predictive_accuracy: 0.8246, prior_entropy: 0.622, recall: 0.8246, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3707, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.812, kappa: 0.2391, kb_relative_information_score: 49.8249, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8036, predictive_accuracy: 0.8246, prior_entropy: 0.622, recall: 0.8246, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.8149, kappa: 0.2225, kb_relative_information_score: 30.1109, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8061, predictive_accuracy: 0.8383, prior_entropy: 0.622, recall: 0.8383, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.8188, kappa: 0.2801, kb_relative_information_score: 140.9017, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8129, predictive_accuracy: 0.8265, prior_entropy: 0.622, recall: 0.8265, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.815, kappa: 0.2526, kb_relative_information_score: 39.1934, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.807, predictive_accuracy: 0.8269, prior_entropy: 0.622, recall: 0.8269, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3665, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.8156, kappa: 0.2431, kb_relative_information_score: -2.2754, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8065, predictive_accuracy: 0.8317, prior_entropy: 0.622, recall: 0.8317, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3662, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.8158, kappa: 0.2301, kb_relative_information_score: 8.1587, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8068, predictive_accuracy: 0.8374, prior_entropy: 0.622, recall: 0.8374, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.8159, kappa: 0.2683, kb_relative_information_score: 55.1817, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8098, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.8206, kappa: 0.285, kb_relative_information_score: 49.5805, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8145, predictive_accuracy: 0.8288, prior_entropy: 0.622, recall: 0.8288, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3683, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.8142, kappa: 0.2328, kb_relative_information_score: 13.626, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8047, predictive_accuracy: 0.8321, prior_entropy: 0.622, recall: 0.8321, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.8192, kappa: 0.2811, kb_relative_information_score: 39.7788, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8132, predictive_accuracy: 0.8269, prior_entropy: 0.622, recall: 0.8269, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.8063, kappa: 0.2074, kb_relative_information_score: -34.5677, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7961, predictive_accuracy: 0.8222, prior_entropy: 0.622, recall: 0.8222, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.8027, kappa: 0.1851, kb_relative_information_score: -28.9509, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7912, predictive_accuracy: 0.8217, prior_entropy: 0.622, recall: 0.8217, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3646, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.818, kappa: 0.2742, kb_relative_information_score: 67.5373, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8116, predictive_accuracy: 0.8265, prior_entropy: 0.622, recall: 0.8265, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3714, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8125, kappa: 0.229, kb_relative_information_score: 37.0921, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8029, predictive_accuracy: 0.8293, prior_entropy: 0.622, recall: 0.8293, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.8077, kappa: 0.2126, kb_relative_information_score: 19.8973, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7976, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3621, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.809, kappa: 0.2217, kb_relative_information_score: 10.4485, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7996, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.8121, kappa: 0.2267, kb_relative_information_score: 42.5749, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8024, predictive_accuracy: 0.8293, prior_entropy: 0.622, recall: 0.8293, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.8055, kappa: 0.1986, kb_relative_information_score: -27.8195, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7947, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3652, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.8202, kappa: 0.2897, kb_relative_information_score: 90.0055, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8151, predictive_accuracy: 0.8265, prior_entropy: 0.622, recall: 0.8265, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3872, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.8141, kappa: 0.2289, kb_relative_information_score: 34.7341, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8046, predictive_accuracy: 0.8336, prior_entropy: 0.622, recall: 0.8336, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.8101, kappa: 0.2234, kb_relative_information_score: 51.9359, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8005, predictive_accuracy: 0.8255, prior_entropy: 0.622, recall: 0.8255, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.8041, kappa: 0.1933, kb_relative_information_score: -46.164, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7931, predictive_accuracy: 0.8222, prior_entropy: 0.622, recall: 0.8222, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3652, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.8085, kappa: 0.2073, kb_relative_information_score: -32.467, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.798, predictive_accuracy: 0.8279, prior_entropy: 0.622, recall: 0.8279, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8107, kappa: 0.2214, kb_relative_information_score: 56.0922, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8008, predictive_accuracy: 0.8279, prior_entropy: 0.622, recall: 0.8279, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.8187, kappa: 0.2535, kb_relative_information_score: 9.9214, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8101, predictive_accuracy: 0.8355, prior_entropy: 0.622, recall: 0.8355, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3643, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.8135, kappa: 0.2358, kb_relative_information_score: 51.7481, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8042, predictive_accuracy: 0.8293, prior_entropy: 0.622, recall: 0.8293, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.8146, kappa: 0.2215, kb_relative_information_score: 36.4589, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8056, predictive_accuracy: 0.8378, prior_entropy: 0.622, recall: 0.8378, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.8162, kappa: 0.2631, kb_relative_information_score: 42.0429, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8091, predictive_accuracy: 0.826, prior_entropy: 0.622, recall: 0.826, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.8087, kappa: 0.2182, kb_relative_information_score: -23.8876, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.799, predictive_accuracy: 0.8241, prior_entropy: 0.622, recall: 0.8241, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.8083, kappa: 0.2159, kb_relative_information_score: -24.6985, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7985, predictive_accuracy: 0.8241, prior_entropy: 0.622, recall: 0.8241, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8146, kappa: 0.2549, kb_relative_information_score: 54.1193, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8071, predictive_accuracy: 0.825, prior_entropy: 0.622, recall: 0.825, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.8129, kappa: 0.2626, kb_relative_information_score: 80.9264, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8079, predictive_accuracy: 0.8189, prior_entropy: 0.622, recall: 0.8189, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.8137, kappa: 0.2563, kb_relative_information_score: 82.1509, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8069, predictive_accuracy: 0.8227, prior_entropy: 0.622, recall: 0.8227, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8162, kappa: 0.28, kb_relative_information_score: 140.278, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8122, predictive_accuracy: 0.8208, prior_entropy: 0.622, recall: 0.8208, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.0541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.8156, kappa: 0.226, kb_relative_information_score: 27.2892, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.807, predictive_accuracy: 0.8388, prior_entropy: 0.622, recall: 0.8388, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.348, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.8053, kappa: 0.1913, kb_relative_information_score: -59.5928, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.794, predictive_accuracy: 0.826, prior_entropy: 0.622, recall: 0.826, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.8125, kappa: 0.2617, kb_relative_information_score: 66.5297, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8076, predictive_accuracy: 0.8184, prior_entropy: 0.622, recall: 0.8184, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3825, root_relative_squared_error: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.8094, kappa: 0.2522, kb_relative_information_score: 137.1089, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.805, predictive_accuracy: 0.8146, prior_entropy: 0.622, recall: 0.8146, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3969, root_relative_squared_error: 1.0978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.8121, kappa: 0.2343, kb_relative_information_score: 25.6472, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.803, predictive_accuracy: 0.8265, prior_entropy: 0.622, recall: 0.8265, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3648, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.8191, kappa: 0.2679, kb_relative_information_score: 12.4068, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8114, predictive_accuracy: 0.8312, prior_entropy: 0.622, recall: 0.8312, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3682, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.8023, kappa: 0.1842, kb_relative_information_score: -53.7814, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7908, predictive_accuracy: 0.8212, prior_entropy: 0.622, recall: 0.8212, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3654, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.8174, kappa: 0.281, kb_relative_information_score: 119.0767, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8127, predictive_accuracy: 0.8231, prior_entropy: 0.622, recall: 0.8231, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.399, root_relative_squared_error: 1.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.812, kappa: 0.2514, kb_relative_information_score: 94.2177, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8055, predictive_accuracy: 0.8203, prior_entropy: 0.622, recall: 0.8203, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.818, kappa: 0.2404, kb_relative_information_score: -1.3453, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8094, predictive_accuracy: 0.8388, prior_entropy: 0.622, recall: 0.8388, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.9693,

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