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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11285 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.7991, kappa: 0.7751, kb_relative_information_score: 1992.1494, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8028, predictive_accuracy: 0.8021, prior_entropy: 3.1321, recall: 0.8021, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, kappa: 0.0726, kb_relative_information_score: 309.9061, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2219, prior_entropy: 3.1321, recall: 0.2219, 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: 0.4997, kb_relative_information_score: 264.2657, 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: 0.9929, f_measure: 0.9017, kappa: 0.8897, kb_relative_information_score: 8289.5538, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9017, predictive_accuracy: 0.9027, prior_entropy: 3.1321, recall: 0.9027, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, kappa: 0.0615, kb_relative_information_score: 314.8602, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.212, prior_entropy: 3.1321, recall: 0.212, relative_absolute_error: 1.0037, 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: 59.6648, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, kappa: 0.1431, kb_relative_information_score: 540.4852, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2726, prior_entropy: 3.1321, recall: 0.2726, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.7672, kappa: 0.7446, kb_relative_information_score: 790.3074, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7952, predictive_accuracy: 0.7765, prior_entropy: 3.1321, recall: 0.7765, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 69.963, 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: 1.0014, 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: 274.6088, 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: 0.886, kappa: 0.3505, kb_relative_information_score: 534.3554, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.4396, prior_entropy: 3.1321, recall: 0.4396, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.31, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, kb_relative_information_score: 173.215, 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: 0.3134, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, kb_relative_information_score: 289.9556, 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: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, kb_relative_information_score: 284.0003, 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: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, kappa: 0.2814, kb_relative_information_score: 444.4326, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3883, prior_entropy: 3.1321, recall: 0.3883, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8475, kappa: 0.8301, kb_relative_information_score: 7324.7588, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8488, predictive_accuracy: 0.8503, prior_entropy: 3.1321, recall: 0.8503, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, kb_relative_information_score: 279.7851, 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: 0.7216, kappa: 0.1362, kb_relative_information_score: 469.4685, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2682, prior_entropy: 3.1321, recall: 0.2682, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 243.4112, 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: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 236.359, 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: 0.4992, kb_relative_information_score: 18.3469, 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: 0.4997, kb_relative_information_score: 90.7911, 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: 0.3133, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.825, kappa: 0.8047, kb_relative_information_score: 6215.8216, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8279, predictive_accuracy: 0.8281, prior_entropy: 3.1321, recall: 0.8281, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 127.1098, 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: 1.0026, 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: 0.9915, f_measure: 0.89, kappa: 0.8762, kb_relative_information_score: 7865.3073, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8902, predictive_accuracy: 0.8909, prior_entropy: 3.1321, recall: 0.8909, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 42.7161, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 276.4244, 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: 0.4995, kb_relative_information_score: 27.2199, 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: 0.9431, f_measure: 0.605, kappa: 0.5912, kb_relative_information_score: 3209.2157, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6406, predictive_accuracy: 0.6426, prior_entropy: 3.1321, recall: 0.6426, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 272.3644, 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: 0.9729, f_measure: 0.7933, kappa: 0.7719, kb_relative_information_score: 7309.702, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7934, predictive_accuracy: 0.7989, prior_entropy: 3.1321, recall: 0.7989, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 237.4267, 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: 0.4994, kb_relative_information_score: 177.0849, 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: 1.0037, 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: 0.5, kb_relative_information_score: 286.8272, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1175, prior_entropy: 3.1321, recall: 0.1175, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.6914, kappa: 0.6643, kb_relative_information_score: 1131.6676, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7122, predictive_accuracy: 0.706, prior_entropy: 3.1321, recall: 0.706, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8896, kappa: 0.875, kb_relative_information_score: 7593.29, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8913, predictive_accuracy: 0.8898, prior_entropy: 3.1321, recall: 0.8898, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 23.9732, 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: 0.4996, kb_relative_information_score: 28.1918, 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: 270.9397, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 1.006, 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: 0.5, kb_relative_information_score: 265.6879, 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: 0.4996, kb_relative_information_score: 275.006, 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: 105.2433, 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: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 19.5869, 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: 0.9931, f_measure: 0.9011, kappa: 0.8881, kb_relative_information_score: 7462.0707, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9034, predictive_accuracy: 0.9013, prior_entropy: 3.1321, recall: 0.9013, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, kappa: 0.1994, kb_relative_information_score: 280.3719, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3213, prior_entropy: 3.1321, recall: 0.3213, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.6983, kappa: 0.6925, kb_relative_information_score: 4987.7339, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7268, predictive_accuracy: 0.73, prior_entropy: 3.1321, recall: 0.73, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.5975, kappa: 0.5833, kb_relative_information_score: 3343.4669, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6253, predictive_accuracy: 0.6359, prior_entropy: 3.1321, recall: 0.6359, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 33.6985, 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: 0.4998, kb_relative_information_score: 256.9807, 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: 0.4998, kb_relative_information_score: 274.3897, 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: 0.9219, kappa: 0.3875, kb_relative_information_score: 352.5032, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.4755, prior_entropy: 3.1321, recall: 0.4755, relative_absolute_error: 1.0024, 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: 0.4996, kb_relative_information_score: 256.1906, 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: 0.8521, kappa: 0.122, kb_relative_information_score: 304.2489, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, 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: 0.4995, kb_relative_information_score: 34.4676, 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: 272.2002, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1175, prior_entropy: 3.1321, recall: 0.1175, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3141, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 273.0817, 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: 0.4995, kb_relative_information_score: 176.545, 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: 1.0037, 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: 0.4999, kb_relative_information_score: 137.3702, 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: 0.3134, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 199.3141, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 41.0885, 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: 0.4998, kb_relative_information_score: 106.6363, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1479, prior_entropy: 3.1321, recall: 0.1479, relative_absolute_error: 1.0007, 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: 0.9219, kappa: 0.1365, kb_relative_information_score: 355.2466, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2717, prior_entropy: 3.1321, recall: 0.2717, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 42.2691, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.6949, kappa: 0.688, kb_relative_information_score: 4802.966, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7167, predictive_accuracy: 0.7262, prior_entropy: 3.1321, recall: 0.7262, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 223.4532, 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: 0.8947, kb_relative_information_score: 285.9144, 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: 0.9192, f_measure: 0.5131, kappa: 0.5142, kb_relative_information_score: 2086.2167, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6307, predictive_accuracy: 0.5788, prior_entropy: 3.1321, recall: 0.5788, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 273.7321, 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: 220.5511, 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: 0.9225, kappa: 0.395, kb_relative_information_score: 440.1049, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.4812, prior_entropy: 3.1321, recall: 0.4812, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9379, kappa: 0.9299, kb_relative_information_score: 8927.4473, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9381, predictive_accuracy: 0.9382, prior_entropy: 3.1321, recall: 0.9382, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.3439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, kappa: 0.1215, kb_relative_information_score: 303.0142, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2609, prior_entropy: 3.1321, recall: 0.2609, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 166.4472, 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: 1.0036, 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: 0.4999, kappa: -0.0002, kb_relative_information_score: 235.0206, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1534, prior_entropy: 3.1321, recall: 0.1534, 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: 0.5, kb_relative_information_score: 47.5819, 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: 0.9428, f_measure: 0.6365, kappa: 0.6247, kb_relative_information_score: 3331.6227, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6862, predictive_accuracy: 0.6728, prior_entropy: 3.1321, recall: 0.6728, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 230.5777, 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: 0.4994, kb_relative_information_score: 210.5259, 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: 0.5, kb_relative_information_score: 278.5961, 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: 0.5001, kb_relative_information_score: 148.0312, 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: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.6473, kappa: 0.609, kb_relative_information_score: 672.5903, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7288, predictive_accuracy: 0.6604, prior_entropy: 3.1321, recall: 0.6604, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 271.5002, 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: 0.8166, kappa: 0.005, kb_relative_information_score: 293.2256, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.166, prior_entropy: 3.1321, recall: 0.166, 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: 0.4996, kb_relative_information_score: 54.8682, 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: 0.3132, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, kappa: 0.013, kb_relative_information_score: 283.1813, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1726, prior_entropy: 3.1321, recall: 0.1726, relative_absolute_error: 1.0058, 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: 0.4996, kb_relative_information_score: 273.7634, 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: 0.4996, kb_relative_information_score: 218.2514, 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: 0.5, kb_relative_information_score: 94.0568, 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: 0.4998, kb_relative_information_score: 221.6994, 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: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.5887, kappa: 0.5675, kb_relative_information_score: 3425.4343, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6086, predictive_accuracy: 0.6214, prior_entropy: 3.1321, recall: 0.6214, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 275.5263, 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: 0.9405, kappa: 0.1367, kb_relative_information_score: 298.2419, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2655, prior_entropy: 3.1321, recall: 0.2655, relative_absolute_error: 1.0039, 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: 0.9638, f_measure: 0.6725, kappa: 0.6557, kb_relative_information_score: 2484.5414, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7527, predictive_accuracy: 0.7003, prior_entropy: 3.1321, recall: 0.7003, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, kappa: 0.2281, kb_relative_information_score: 388.6282, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3438, prior_entropy: 3.1321, recall: 0.3438, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, kappa: 0.1174, kb_relative_information_score: 692.5334, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2507, prior_entropy: 3.1321, recall: 0.2507, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 45.2606, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 54.1539, 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: 0.9711, f_measure: 0.7173, kappa: 0.7003, kb_relative_information_score: 922.5166, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7754, predictive_accuracy: 0.7386, prior_entropy: 3.1321, recall: 0.7386, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 104.9293, 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: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 267.1078, 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,

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