OpenML
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3510 Supervised Classification JapaneseVowels 11285 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 209.8251, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 265.0216, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 271.9029, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, kb_relative_information_score: 167.5949, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 255.1891, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8234, kappa: 0.804, kb_relative_information_score: 5365.7671, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8318, predictive_accuracy: 0.8278, prior_entropy: 3.1321, recall: 0.8278, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.4416, kappa: 0.4503, kb_relative_information_score: 615.4691, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6432, predictive_accuracy: 0.5267, prior_entropy: 3.1321, recall: 0.5267, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 94.1568, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 103.397, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 182.9965, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 247.4716, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 80.217, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, kappa: 0.0016, kb_relative_information_score: 293.5862, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1633, prior_entropy: 3.1321, recall: 0.1633, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 250.7475, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.4795, kappa: 0.4726, kb_relative_information_score: 490.0099, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.616, predictive_accuracy: 0.5439, prior_entropy: 3.1321, recall: 0.5439, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, kappa: 0.4011, kb_relative_information_score: 1759.7645, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.4817, prior_entropy: 3.1321, recall: 0.4817, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7707, kappa: 0.7488, kb_relative_information_score: 4951.495, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7852, predictive_accuracy: 0.7794, prior_entropy: 3.1321, recall: 0.7794, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, kappa: 0.2258, kb_relative_information_score: 359.4652, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3468, prior_entropy: 3.1321, recall: 0.3468, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 24.9033, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 37.6194, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 274.9012, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 108.218, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, kappa: 0.1472, kb_relative_information_score: 290.5616, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2796, prior_entropy: 3.1321, recall: 0.2796, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.411, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 100.9495, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, kb_relative_information_score: 97.3202, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 119.2691, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1492, prior_entropy: 3.1321, recall: 0.1492, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 273.0647, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.7249, kappa: 0.7113, kb_relative_information_score: 5308.5366, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7397, predictive_accuracy: 0.7459, prior_entropy: 3.1321, recall: 0.7459, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8668, kappa: 0.8506, kb_relative_information_score: 7708.4794, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8668, predictive_accuracy: 0.8683, prior_entropy: 3.1321, recall: 0.8683, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8819, kappa: 0.867, kb_relative_information_score: 8221.8684, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.882, predictive_accuracy: 0.8826, prior_entropy: 3.1321, recall: 0.8826, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.4687, kappa: 0.4583, kb_relative_information_score: 1741.747, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.5233, predictive_accuracy: 0.5302, prior_entropy: 3.1321, recall: 0.5302, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 299.282, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 273.3174, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 204.0084, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 110.7578, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 258.2886, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 274.9262, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 249.8705, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 183.1586, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.6727, kappa: 0.657, kb_relative_information_score: 1290.1315, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.745, predictive_accuracy: 0.7011, prior_entropy: 3.1321, recall: 0.7011, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 124.7297, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8557, kappa: 0.8396, kb_relative_information_score: 7402.9984, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8569, predictive_accuracy: 0.8586, prior_entropy: 3.1321, recall: 0.8586, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.6277, kappa: 0.5974, kb_relative_information_score: 3751.7852, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6459, predictive_accuracy: 0.6474, prior_entropy: 3.1321, recall: 0.6474, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 35.1033, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.7663, kappa: 0.739, kb_relative_information_score: 2178.0371, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7693, predictive_accuracy: 0.7704, prior_entropy: 3.1321, recall: 0.7704, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.4431, kappa: 0.447, kb_relative_information_score: 818.4457, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.4999, predictive_accuracy: 0.5184, prior_entropy: 3.1321, recall: 0.5184, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 51.8321, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 43.9193, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 263.4203, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 223.2566, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 242.0642, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kb_relative_information_score: 268.0329, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.924, kappa: 0.9141, kb_relative_information_score: 7486.8472, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9245, predictive_accuracy: 0.9242, prior_entropy: 3.1321, recall: 0.9242, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 83.3833, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 268.8852, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 136.581, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8204, kappa: 0.8003, kb_relative_information_score: 4945.7019, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8245, predictive_accuracy: 0.8243, prior_entropy: 3.1321, recall: 0.8243, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 276.2443, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 144.0116, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 278.8899, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3141, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 214.4639, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 88.5932, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 270.3481, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 273.887, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 11.2943, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 254.6864, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 8.5061, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 260.2207, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 131.166, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8717, kappa: 0.8553, kb_relative_information_score: 5588.9438, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8731, predictive_accuracy: 0.8724, prior_entropy: 3.1321, recall: 0.8724, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 46.4016, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 214.12, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, kb_relative_information_score: 296.9135, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, kappa: 0.4566, kb_relative_information_score: 420.0442, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.5347, prior_entropy: 3.1321, recall: 0.5347, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.706, kappa: 0.6822, kb_relative_information_score: 953.4237, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.75, predictive_accuracy: 0.7226, prior_entropy: 3.1321, recall: 0.7226, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9246, kappa: 0.9147, kb_relative_information_score: 8368.7255, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9252, predictive_accuracy: 0.9247, prior_entropy: 3.1321, recall: 0.9247, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 262.8816, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 30.4253, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 32.8229, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9056, kappa: 0.8936, kb_relative_information_score: 8001.1653, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9059, predictive_accuracy: 0.9061, prior_entropy: 3.1321, recall: 0.9061, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 89.443, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 258.3253, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.815, kappa: 0.7947, kb_relative_information_score: 7146.7635, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.815, predictive_accuracy: 0.8191, prior_entropy: 3.1321, recall: 0.8191, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 256.3648, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, kappa: 0.1937, kb_relative_information_score: 353.044, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2963, prior_entropy: 3.1321, recall: 0.2963, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 246.9313, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9005, kappa: 0.8882, kb_relative_information_score: 8073.9029, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9009, predictive_accuracy: 0.9014, prior_entropy: 3.1321, recall: 0.9014, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.7005, kappa: 0.6921, kb_relative_information_score: 5379.0852, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7215, predictive_accuracy: 0.7294, prior_entropy: 3.1321, recall: 0.7294, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 57.9933, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 95.8787, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7693, kappa: 0.7518, kb_relative_information_score: 6222.5691, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7744, predictive_accuracy: 0.7815, prior_entropy: 3.1321, recall: 0.7815, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 91.7076, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.4423, kappa: 0.4582, kb_relative_information_score: 993.5451, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7207, predictive_accuracy: 0.5334, prior_entropy: 3.1321, recall: 0.5334, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 211.43, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7533, kappa: 0.7298, kb_relative_information_score: 2914.1074, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7902, predictive_accuracy: 0.7637, prior_entropy: 3.1321, recall: 0.7637, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 272.7677, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 270.2032, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 118.2264, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 272.2596, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.314, root_relative_squared_error: 1.0026,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs