Task
Supervised Classification on visualizing_livestock

Supervised Classification on visualizing_livestock

Task 3731 Supervised Classification visualizing_livestock 1029 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7729, kappa: 0.1975, kb_relative_information_score: 25.7957, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7692, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.8885, kappa: 0.6549, kb_relative_information_score: 51.803, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8955, predictive_accuracy: 0.8846, prior_entropy: 0.7158, recall: 0.8846, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7912, kappa: 0.2727, kb_relative_information_score: 24.4393, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.787, predictive_accuracy: 0.8154, prior_entropy: 0.7158, recall: 0.8154, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7738, kappa: 0.2252, kb_relative_information_score: 11.1637, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7643, predictive_accuracy: 0.7923, prior_entropy: 0.7158, recall: 0.7923, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.872, kappa: 0.5975, kb_relative_information_score: 48.8313, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8759, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.8537, kappa: 0.5586, kb_relative_information_score: 35.096, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8685, predictive_accuracy: 0.8462, prior_entropy: 0.7158, recall: 0.8462, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7682, kappa: 0.1968, kb_relative_information_score: 20.1355, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7578, predictive_accuracy: 0.7923, prior_entropy: 0.7158, recall: 0.7923, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4249, root_relative_squared_error: 1.0781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.748, kappa: 0.1951, kb_relative_information_score: 13.5633, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.75, predictive_accuracy: 0.7462, prior_entropy: 0.7158, recall: 0.7462, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4448, root_relative_squared_error: 1.1286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7564, kappa: 0.1515, kb_relative_information_score: 29.6473, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7436, predictive_accuracy: 0.7846, prior_entropy: 0.7158, recall: 0.7846, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7565, kappa: 0.1232, kb_relative_information_score: 25.1464, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8549, predictive_accuracy: 0.8231, prior_entropy: 0.7158, recall: 0.8231, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.34, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.8702, kappa: 0.5854, kb_relative_information_score: 35.2894, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8713, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.8702, kappa: 0.5854, kb_relative_information_score: 36.4716, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8713, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7729, kappa: 0.1975, kb_relative_information_score: 25.7957, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7692, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8635, kappa: 0.5675, kb_relative_information_score: 59.9159, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.866, predictive_accuracy: 0.8615, prior_entropy: 0.7158, recall: 0.8615, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.7325, kappa: 0.0446, kb_relative_information_score: 17.743, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7116, predictive_accuracy: 0.7846, prior_entropy: 0.7158, recall: 0.7846, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7416, kappa: 0.0831, kb_relative_information_score: 12.7081, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7249, predictive_accuracy: 0.7846, prior_entropy: 0.7158, recall: 0.7846, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4381, f_measure: 0.7218, kb_relative_information_score: -1.8201, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3946, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8702, kappa: 0.5854, kb_relative_information_score: 35.7648, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8713, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8702, kappa: 0.5854, kb_relative_information_score: 35.7648, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8713, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.8702, kappa: 0.5854, kb_relative_information_score: 40.6431, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8713, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.8314, kappa: 0.4371, kb_relative_information_score: 25.9274, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8276, predictive_accuracy: 0.8385, prior_entropy: 0.7158, recall: 0.8385, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7729, kappa: 0.1975, kb_relative_information_score: 25.7957, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7692, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.842, kappa: 0.5395, kb_relative_information_score: 48.9893, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8682, predictive_accuracy: 0.8308, prior_entropy: 0.7158, recall: 0.8308, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8702, kappa: 0.5854, kb_relative_information_score: 65.1015, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8713, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7729, kappa: 0.1975, kb_relative_information_score: 25.7957, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7692, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.7899, kappa: 0.2493, kb_relative_information_score: -11.861, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8137, predictive_accuracy: 0.8308, prior_entropy: 0.7158, recall: 0.8308, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7912, kappa: 0.2727, kb_relative_information_score: 25.1569, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.787, predictive_accuracy: 0.8154, prior_entropy: 0.7158, recall: 0.8154, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.8314, kappa: 0.4371, kb_relative_information_score: 25.9274, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8276, predictive_accuracy: 0.8385, prior_entropy: 0.7158, recall: 0.8385, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7729, kappa: 0.1975, kb_relative_information_score: 25.7957, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7692, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8635, kappa: 0.5675, kb_relative_information_score: 61.3849, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.866, predictive_accuracy: 0.8615, prior_entropy: 0.7158, recall: 0.8615, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8635, kappa: 0.5675, kb_relative_information_score: 61.3849, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.866, predictive_accuracy: 0.8615, prior_entropy: 0.7158, recall: 0.8615, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7729, kappa: 0.1975, kb_relative_information_score: 25.7957, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7692, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7265, kappa: 0.0168, kb_relative_information_score: -2.2659, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7019, predictive_accuracy: 0.7923, prior_entropy: 0.7158, recall: 0.7923, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7832, kappa: 0.2763, kb_relative_information_score: 21.2422, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7767, predictive_accuracy: 0.7923, prior_entropy: 0.7158, recall: 0.7923, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.7811, kappa: 0.2849, kb_relative_information_score: 24.219, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7781, predictive_accuracy: 0.7846, prior_entropy: 0.7158, recall: 0.7846, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.1775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 35.3688, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8635, kappa: 0.5675, kb_relative_information_score: 61.3849, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.866, predictive_accuracy: 0.8615, prior_entropy: 0.7158, recall: 0.8615, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9441, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 35.3688, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 35.3688, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.875, kappa: 0.6196, kb_relative_information_score: 53.5095, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8867, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.909, scimark_benchmark: 1389.1016, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 35.3688, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1390.2633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 35.3688, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1378.4768, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 35.3688, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1376.3069, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8635, kappa: 0.5675, kb_relative_information_score: 61.3849, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.866, predictive_accuracy: 0.8615, prior_entropy: 0.7158, recall: 0.8615, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9441, scimark_benchmark: 1625.8773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8617, kappa: 0.5863, kb_relative_information_score: 54.9694, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8787, predictive_accuracy: 0.8538, prior_entropy: 0.7158, recall: 0.8538, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9488, scimark_benchmark: 1908.2191, usercpu_time_millis: 781.25, usercpu_time_millis_training: 781.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7729, kappa: 0.1975, kb_relative_information_score: 25.7957, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.7692, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8492, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.8314, kappa: 0.4371, kb_relative_information_score: 25.9274, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8276, predictive_accuracy: 0.8385, prior_entropy: 0.7158, recall: 0.8385, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9341, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.8162, kappa: 0.4406, kb_relative_information_score: 36.1341, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8297, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4203, root_relative_squared_error: 1.0662, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.8885, kappa: 0.6549, kb_relative_information_score: 51.803, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8955, predictive_accuracy: 0.8846, prior_entropy: 0.7158, recall: 0.8846, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8056, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.875, kappa: 0.6196, kb_relative_information_score: 55.6404, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8867, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8934, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8885, kappa: 0.6549, kb_relative_information_score: 51.8886, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8955, predictive_accuracy: 0.8846, prior_entropy: 0.7158, recall: 0.8846, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8173, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8885, kappa: 0.6549, kb_relative_information_score: 51.8886, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8955, predictive_accuracy: 0.8846, prior_entropy: 0.7158, recall: 0.8846, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8173, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8885, kappa: 0.6549, kb_relative_information_score: 51.8886, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8955, predictive_accuracy: 0.8846, prior_entropy: 0.7158, recall: 0.8846, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8173, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.8885, kappa: 0.6549, kb_relative_information_score: 51.803, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8955, predictive_accuracy: 0.8846, prior_entropy: 0.7158, recall: 0.8846, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8056, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.875, kappa: 0.6196, kb_relative_information_score: 55.6404, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8867, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8934, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.8162, kappa: 0.4406, kb_relative_information_score: 36.1341, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8297, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4203, root_relative_squared_error: 1.0662, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8635, kappa: 0.5675, kb_relative_information_score: 61.3849, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.866, predictive_accuracy: 0.8615, prior_entropy: 0.7158, recall: 0.8615, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9441, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8635, kappa: 0.5675, kb_relative_information_score: 61.3849, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.866, predictive_accuracy: 0.8615, prior_entropy: 0.7158, recall: 0.8615, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9441, scimark_benchmark: 1511.1214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.8162, kappa: 0.4406, kb_relative_information_score: 36.1341, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8297, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4203, root_relative_squared_error: 1.0662, scimark_benchmark: 1174.5469, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8702, kappa: 0.5854, kb_relative_information_score: 35.7648, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8713, predictive_accuracy: 0.8692, prior_entropy: 0.7158, recall: 0.8692, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8397, scimark_benchmark: 1447.2612,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs