Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3510 Supervised Classification JapaneseVowels 10941 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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10941 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8843, kappa: 0.8689, kb_relative_information_score: 8723.263, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8843, predictive_accuracy: 0.8842, prior_entropy: 3.1321, recall: 0.8842, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 212.3765, 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: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, kappa: 0.3769, kb_relative_information_score: 364.9536, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.4668, prior_entropy: 3.1321, recall: 0.4668, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8005, kappa: 0.7785, kb_relative_information_score: 5822.5874, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8051, predictive_accuracy: 0.8052, prior_entropy: 3.1321, recall: 0.8052, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8509, kappa: 0.8341, kb_relative_information_score: 7351.6218, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8516, predictive_accuracy: 0.8538, prior_entropy: 3.1321, recall: 0.8538, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 32.7852, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 137.8049, 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: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.6279, kappa: 0.624, kb_relative_information_score: 3503.6003, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6831, predictive_accuracy: 0.6715, prior_entropy: 3.1321, recall: 0.6715, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 237.0265, 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: 1.0052, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 268.0646, 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: 0.5001, kb_relative_information_score: 164.4059, 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: 0.999, 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: 0.4999, kb_relative_information_score: 266.8978, 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: 0.4999, kb_relative_information_score: 275.3192, 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: 92.0663, 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: 1.001, 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: 0.4995, kb_relative_information_score: 23.4176, 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: 0.4999, kb_relative_information_score: 30.8651, 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: 0.9697, f_measure: 0.7773, kappa: 0.7581, kb_relative_information_score: 6238.8655, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7807, predictive_accuracy: 0.7871, prior_entropy: 3.1321, recall: 0.7871, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 265.073, 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: 0.9171, kappa: 0.1312, kb_relative_information_score: 310.9565, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.267, prior_entropy: 3.1321, recall: 0.267, relative_absolute_error: 1.004, 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: 0.9569, f_measure: 0.7135, kappa: 0.6834, kb_relative_information_score: 4645.2903, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7261, predictive_accuracy: 0.722, prior_entropy: 3.1321, recall: 0.722, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.7799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 273.7123, 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: 0.8734, kappa: 0.1129, kb_relative_information_score: 295.2101, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2523, prior_entropy: 3.1321, recall: 0.2523, relative_absolute_error: 1.0048, 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: 0.6103, kb_relative_information_score: 222.2381, 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: 1.0034, 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: 0.5, kb_relative_information_score: 69.1592, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 168.0642, 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: 1.0034, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 203.3503, 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: 1.0006, 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: 0.9825, f_measure: 0.8365, kappa: 0.818, kb_relative_information_score: 7500.9362, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8364, predictive_accuracy: 0.8396, prior_entropy: 3.1321, recall: 0.8396, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.7908, kappa: 0.7723, kb_relative_information_score: 2720.1549, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.822, predictive_accuracy: 0.8006, prior_entropy: 3.1321, recall: 0.8006, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, kb_relative_information_score: 149.3645, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 60.8907, 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: 1.0012, 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: 0.4996, kb_relative_information_score: 259.7257, 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: 0.5, kb_relative_information_score: 129.6907, 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: 1.0009, 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: 0.4995, kb_relative_information_score: 236.4042, 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: 1.0052, 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: 0.991, f_measure: 0.8841, kappa: 0.8701, kb_relative_information_score: 8243.7657, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8838, predictive_accuracy: 0.8855, prior_entropy: 3.1321, recall: 0.8855, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, kappa: 0.4589, kb_relative_information_score: 1787.464, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.5329, prior_entropy: 3.1321, recall: 0.5329, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 236.7874, 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: 1.0051, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 222.6137, 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: 1.0049, 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: 0.9568, f_measure: 0.7182, kappa: 0.7071, kb_relative_information_score: 5965.2949, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7366, predictive_accuracy: 0.7423, prior_entropy: 3.1321, recall: 0.7423, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 107.8073, 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: 0.3133, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 267.83, 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: 0.4997, kb_relative_information_score: 23.2004, 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: 0.5001, kb_relative_information_score: 235.126, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 251.4253, 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: 0.4999, kb_relative_information_score: 229.5669, 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: 0.3138, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, kb_relative_information_score: 285.9451, 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: 1.0059, 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: 0.9343, f_measure: 0.4679, kappa: 0.4819, kb_relative_information_score: 943.4294, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6435, predictive_accuracy: 0.5532, prior_entropy: 3.1321, recall: 0.5532, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 51.1591, 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: 0.9999, 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: 0.4996, kb_relative_information_score: 27.1676, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 531.97, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.11, prior_entropy: 3.1321, recall: 0.11, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3164, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8933, kappa: 0.8801, kb_relative_information_score: 7999.9702, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8934, predictive_accuracy: 0.8943, prior_entropy: 3.1321, recall: 0.8943, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 165.1212, 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: 1.0034, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 25.8983, 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: 0.5001, kb_relative_information_score: 155.1067, 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: 0.3135, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8495, kappa: 0.8335, kb_relative_information_score: 6630.6518, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8536, predictive_accuracy: 0.8535, prior_entropy: 3.1321, recall: 0.8535, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.7448, kappa: 0.7241, kb_relative_information_score: 4761.6645, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7589, predictive_accuracy: 0.7581, prior_entropy: 3.1321, recall: 0.7581, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 26.513, 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: 0.5, kb_relative_information_score: 266.9786, 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: 0.4997, kb_relative_information_score: 95.4526, 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: 0.5002, kb_relative_information_score: 268.1664, 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: 0.4998, kb_relative_information_score: 95.6185, 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: 1.0012, 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: 0.9644, f_measure: 0.7405, kappa: 0.717, kb_relative_information_score: 1528.5344, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7703, predictive_accuracy: 0.7524, prior_entropy: 3.1321, recall: 0.7524, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 104.7686, 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: 0.3133, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.7598, kappa: 0.7416, kb_relative_information_score: 3938.572, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.798, predictive_accuracy: 0.7741, prior_entropy: 3.1321, recall: 0.7741, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 272.9428, 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: 0.9754, f_measure: 0.802, kappa: 0.7814, kb_relative_information_score: 7238.9086, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8017, predictive_accuracy: 0.8073, prior_entropy: 3.1321, recall: 0.8073, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.5769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 266.3469, 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: 0.5, kb_relative_information_score: 55.3616, 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: 1.0004, 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: 0.9605, f_measure: 0.7266, kappa: 0.7056, kb_relative_information_score: 5294.6462, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.737, predictive_accuracy: 0.7415, prior_entropy: 3.1321, recall: 0.7415, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 263.453, 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: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.5353, kappa: 0.5273, kb_relative_information_score: 1121.2719, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6498, predictive_accuracy: 0.5902, prior_entropy: 3.1321, recall: 0.5902, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 26.3308, 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: 269.4597, 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: 0.4993, kb_relative_information_score: 133.5512, 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: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 87.0463, 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: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 17.8112, 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: 0.9115, f_measure: 0.4408, kappa: 0.4392, kb_relative_information_score: 1411.3313, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.4966, predictive_accuracy: 0.5125, prior_entropy: 3.1321, recall: 0.5125, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 131.8644, 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: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 46.1742, 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: 1.0006, 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: 275.8654, 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: 0.5, kappa: 0.0001, kb_relative_information_score: 80.2152, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1607, prior_entropy: 3.1321, recall: 0.1607, relative_absolute_error: 1.0006, 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: 0.9142, kappa: 0.1472, kb_relative_information_score: 298.1233, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2816, prior_entropy: 3.1321, recall: 0.2816, relative_absolute_error: 1.0045, 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: 0.4997, kb_relative_information_score: 267.0293, 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: 0.9602, f_measure: 0.743, kappa: 0.7239, kb_relative_information_score: 6539.3711, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7471, predictive_accuracy: 0.7568, prior_entropy: 3.1321, recall: 0.7568, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.202, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 31.0793, 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: 0.9997, 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: 0.4997, kb_relative_information_score: 62.7789, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 247.156, 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: 284.9091, 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: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 276.8177, 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: 0.9743, f_measure: 0.7932, kappa: 0.7695, kb_relative_information_score: 7415.3345, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7929, predictive_accuracy: 0.7968, prior_entropy: 3.1321, recall: 0.7968, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 74.1604, 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: 1.0013, 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: 0.4998, kb_relative_information_score: 270.9831, 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: 0.97, f_measure: 0.7818, kappa: 0.7574, kb_relative_information_score: 918.4299, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7907, predictive_accuracy: 0.787, prior_entropy: 3.1321, recall: 0.787, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.305, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 493.1618, 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: 1.0028, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3161, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 59.267, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 275.7296, 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: 0.5, kb_relative_information_score: 263.4761, 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: 1.0058, 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: 0.8995, kappa: 0.0569, kb_relative_information_score: 295.3715, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2088, prior_entropy: 3.1321, recall: 0.2088, relative_absolute_error: 1.0049, 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: 0.93, f_measure: 0.5619, kappa: 0.5593, kb_relative_information_score: 2936.1016, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6367, predictive_accuracy: 0.6168, prior_entropy: 3.1321, recall: 0.6168, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 205.8323, 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: 0.4994, kb_relative_information_score: 182.7116, 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,

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

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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