OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 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:

112802 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: 0.5045, kb_relative_information_score: -318.2475, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0491, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -64.0582, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3279, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 44.7847, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -507.2026, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 39.196, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -719.809, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.1583, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3647, root_relative_squared_error: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.357, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, kb_relative_information_score: -48.8911, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.28, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -130.7114, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0195, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -30.6903, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 23.6631, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, kb_relative_information_score: -166.6131, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -337.437, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0521, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.874, kappa: 0.3677, kb_relative_information_score: 37.0471, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.869, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.893, kappa: 0.4858, kb_relative_information_score: 346.2705, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8905, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 138.5872, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.33, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 18.1862, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8821, kappa: 0.3984, kb_relative_information_score: 148.9288, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8797, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 4.7898, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -504.062, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0804, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1274.3363, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.232, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3341, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -455.8746, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0718, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -593.8904, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0959, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3286, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 59.1949, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8267, kappa: 0.0393, kb_relative_information_score: 8.4253, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8284, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8642, kappa: 0.3543, kb_relative_information_score: 243.5177, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8618, predictive_accuracy: 0.8669, prior_entropy: 0.5368, recall: 0.8669, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 41.2927, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8784, kappa: 0.3591, kb_relative_information_score: 247.647, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6216.1121, mean_absolute_error: 0.8779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.1221, prior_entropy: 0.5368, recall: 0.1221, relative_absolute_error: 4.088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.937, root_relative_squared_error: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -99.607, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -174.8051, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0263, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.859, kappa: 0.2901, kb_relative_information_score: 115.9484, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8519, predictive_accuracy: 0.8717, prior_entropy: 0.5368, recall: 0.8717, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -19.09, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 14.0102, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, kb_relative_information_score: -196.7831, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 10.4799, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8283, kappa: 0.0485, kb_relative_information_score: -80.1992, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8345, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 78.0156, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 20.7614, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 16.0746, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -180.9368, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.8104, kappa: 0.2198, kb_relative_information_score: -582.5219, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8362, predictive_accuracy: 0.7915, prior_entropy: 0.5368, recall: 0.7915, relative_absolute_error: 1.0669, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4335, root_relative_squared_error: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 50.7479, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 112.968, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3291, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, kb_relative_information_score: 56.8847, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -215.1926, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0325, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 79.774, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 2.4295, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -343.1522, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.053, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 109.1668, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.329, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6216.1121, mean_absolute_error: 0.8779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.1221, prior_entropy: 0.5368, recall: 0.1221, relative_absolute_error: 4.088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.937, root_relative_squared_error: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8618, kappa: 0.2667, kb_relative_information_score: 188.18, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8622, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6216.1121, mean_absolute_error: 0.8779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.1221, prior_entropy: 0.5368, recall: 0.1221, relative_absolute_error: 4.088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.937, root_relative_squared_error: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, kb_relative_information_score: 68.1691, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -9.2636, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8234, kappa: 0.0167, kb_relative_information_score: 23.0376, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8327, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.1527, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -1209.9829, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.2224, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8622, kappa: 0.3306, kb_relative_information_score: 97.9331, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8575, predictive_accuracy: 0.8683, prior_entropy: 0.5368, recall: 0.8683, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 277.9425, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 96.7241, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.8243, kappa: 0.1863, kb_relative_information_score: -164.3196, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8256, predictive_accuracy: 0.823, prior_entropy: 0.5368, recall: 0.823, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3868, root_relative_squared_error: 1.1815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.7838, kappa: 0.0311, kb_relative_information_score: -505.4682, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7924, predictive_accuracy: 0.7757, prior_entropy: 0.5368, recall: 0.7757, relative_absolute_error: 1.0444, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.4466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8545, kappa: 0.2086, kb_relative_information_score: 75.4737, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8698, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 306.329, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3409, root_relative_squared_error: 1.0413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 44.4685, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.6575, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, kb_relative_information_score: -40.4355, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -567.6011, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0912, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3285, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8487, kappa: 0.1753, kb_relative_information_score: 219.4054, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8607, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 21.0975, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3279, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -61.4455, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 36.0911, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8433, kappa: 0.1429, kb_relative_information_score: 20.5525, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8528, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8857, kappa: 0.4234, kb_relative_information_score: 334.6383, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8828, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 0.6503, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -239.6416, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0364, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 145.607, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -281.653, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0431, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 33.3195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 107.477, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3289, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -185.7004, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0279, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, kb_relative_information_score: -264.8991, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8423, kappa: 0.1333, kb_relative_information_score: 12.1575, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8601, predictive_accuracy: 0.8834, prior_entropy: 0.5368, recall: 0.8834, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 29.5174, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 31.2468, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3279, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -87.0488, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8628, kappa: 0.2707, kb_relative_information_score: 22.8021, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8647, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8574, kappa: 0.2452, kb_relative_information_score: 141.8574, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8549, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -1083.2271, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.1933, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8267, kappa: 0.0393, kb_relative_information_score: 33.0041, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8284, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8703, kappa: 0.3375, kb_relative_information_score: 130.5269, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8655, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, kb_relative_information_score: -27.4294, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6216.1121, mean_absolute_error: 0.8779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.1221, prior_entropy: 0.5368, recall: 0.1221, relative_absolute_error: 4.088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.937, root_relative_squared_error: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -19.3184, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 154.0171, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -544.5219, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 20.1274, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6216.1121, mean_absolute_error: 0.8779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.1221, prior_entropy: 0.5368, recall: 0.1221, relative_absolute_error: 4.088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.937, root_relative_squared_error: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 59.6637, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0014,

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