Task
Supervised Classification on OVA_Ovary

Supervised Classification on OVA_Ovary

Task 4000 Supervised Classification OVA_Ovary 190 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8608, kappa: 0.4875, kb_relative_information_score: 149.9353, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.8421, prior_entropy: 0.5537, recall: 0.8421, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.1889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.8485, kappa: 0.343, kb_relative_information_score: 2.0625, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8537, predictive_accuracy: 0.844, prior_entropy: 0.5537, recall: 0.844, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9158, kappa: 0.6177, kb_relative_information_score: 748.4313, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9148, predictive_accuracy: 0.9172, prior_entropy: 0.5537, recall: 0.9172, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.9082, kappa: 0.561, kb_relative_information_score: 794.2955, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9077, predictive_accuracy: 0.9152, prior_entropy: 0.5537, recall: 0.9152, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8608, kappa: 0.4875, kb_relative_information_score: 149.9353, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.8421, prior_entropy: 0.5537, recall: 0.8421, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.1889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9158, kappa: 0.6177, kb_relative_information_score: 748.4313, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9148, predictive_accuracy: 0.9172, prior_entropy: 0.5537, recall: 0.9172, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.9082, kappa: 0.561, kb_relative_information_score: 794.2955, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9077, predictive_accuracy: 0.9152, prior_entropy: 0.5537, recall: 0.9152, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.8485, kappa: 0.343, kb_relative_information_score: 2.0625, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8537, predictive_accuracy: 0.844, prior_entropy: 0.5537, recall: 0.844, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.9157, kappa: 0.6084, kb_relative_information_score: 631.4021, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9142, predictive_accuracy: 0.9191, prior_entropy: 0.5537, recall: 0.9191, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.917, kappa: 0.6115, kb_relative_information_score: 662.496, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9157, predictive_accuracy: 0.921, prior_entropy: 0.5537, recall: 0.921, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9368, kappa: 0.7076, kb_relative_information_score: 828.9005, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9362, predictive_accuracy: 0.9392, prior_entropy: 0.5537, recall: 0.9392, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9329, kappa: 0.6849, kb_relative_information_score: 784.8478, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.933, predictive_accuracy: 0.9366, prior_entropy: 0.5537, recall: 0.9366, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9337, kappa: 0.6941, kb_relative_information_score: 727.5607, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9329, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.9039, kappa: 0.5385, kb_relative_information_score: 765.784, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9036, predictive_accuracy: 0.912, prior_entropy: 0.5537, recall: 0.912, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.8755, kappa: 0.3905, kb_relative_information_score: 579.7141, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8731, predictive_accuracy: 0.8893, prior_entropy: 0.5537, recall: 0.8893, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8862, kappa: 0.5303, kb_relative_information_score: 450.2301, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8992, predictive_accuracy: 0.8783, prior_entropy: 0.5537, recall: 0.8783, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8961, kappa: 0.5028, kb_relative_information_score: 690.554, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8943, predictive_accuracy: 0.9042, prior_entropy: 0.5537, recall: 0.9042, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.8444, kappa: 0.314, kb_relative_information_score: 149.9349, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8468, predictive_accuracy: 0.8421, prior_entropy: 0.5537, recall: 0.8421, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.1889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.9132, kappa: 0.6058, kb_relative_information_score: 785.407, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9121, predictive_accuracy: 0.9146, prior_entropy: 0.5537, recall: 0.9146, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8724, kappa: 0.3467, kb_relative_information_score: 383.2182, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8899, predictive_accuracy: 0.8971, prior_entropy: 0.5537, recall: 0.8971, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8974, kappa: 0.5005, kb_relative_information_score: 298.2038, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8985, predictive_accuracy: 0.9081, prior_entropy: 0.5537, recall: 0.9081, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.8122, kb_relative_information_score: -2.5136, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3343, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.8392, kappa: 0.1597, kb_relative_information_score: 475.2995, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8558, predictive_accuracy: 0.879, prior_entropy: 0.5537, recall: 0.879, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.8924, kappa: 0.4739, kb_relative_information_score: 697.3563, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8933, predictive_accuracy: 0.9042, prior_entropy: 0.5537, recall: 0.9042, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.8571, kappa: 0.4465, kb_relative_information_score: 144.2326, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8859, predictive_accuracy: 0.8414, prior_entropy: 0.5537, recall: 0.8414, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8827, kappa: 0.432, kb_relative_information_score: 606.1194, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8803, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.8708, kappa: 0.4199, kb_relative_information_score: 406.5387, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8704, predictive_accuracy: 0.8712, prior_entropy: 0.5537, recall: 0.8712, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.8122, kb_relative_information_score: 306.2936, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3471, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6974, kappa: 0.2191, kb_relative_information_score: -1681.3688, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8718, predictive_accuracy: 0.6375, prior_entropy: 0.5537, recall: 0.6375, relative_absolute_error: 1.6241, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.5978, root_relative_squared_error: 1.7883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8625, kappa: 0.4879, kb_relative_information_score: 174.0245, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9012, predictive_accuracy: 0.8447, prior_entropy: 0.5537, recall: 0.8447, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3936, root_relative_squared_error: 1.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8596, kappa: 0.3777, kb_relative_information_score: 207.0069, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.861, predictive_accuracy: 0.8583, prior_entropy: 0.5537, recall: 0.8583, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.8134, kappa: 0.0075, kb_relative_information_score: -4043.3854, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8246, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 2.2223, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.876, kappa: 0.3924, kb_relative_information_score: 363.3046, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8739, predictive_accuracy: 0.89, prior_entropy: 0.5537, recall: 0.89, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.8122, kb_relative_information_score: -2.5136, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3343, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8614, kappa: 0.4888, kb_relative_information_score: 155.6381, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9029, predictive_accuracy: 0.8427, prior_entropy: 0.5537, recall: 0.8427, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8122, kb_relative_information_score: 412.241, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.358, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.9101, kappa: 0.5951, kb_relative_information_score: 537.7861, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9096, predictive_accuracy: 0.9107, prior_entropy: 0.5537, recall: 0.9107, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9331, kappa: 0.6884, kb_relative_information_score: 900.6743, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9325, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0291, kb_relative_information_score: -6139.7091, mean_absolute_error: 0.8718, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.0164, predictive_accuracy: 0.1282, prior_entropy: 0.5537, recall: 0.1282, relative_absolute_error: 3.8953, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.9337, root_relative_squared_error: 2.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8827, kappa: 0.432, kb_relative_information_score: 603.8418, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8803, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.9119, kappa: 0.603, kb_relative_information_score: 764.8317, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9113, predictive_accuracy: 0.9126, prior_entropy: 0.5537, recall: 0.9126, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8652, kappa: 0.4911, kb_relative_information_score: 171.9342, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9001, predictive_accuracy: 0.8485, prior_entropy: 0.5537, recall: 0.8485, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3658, root_relative_squared_error: 1.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8322, kappa: 0.1139, kb_relative_information_score: 226.9965, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8791, predictive_accuracy: 0.8796, prior_entropy: 0.5537, recall: 0.8796, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9189, kappa: 0.6302, kb_relative_information_score: 809.0477, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9177, predictive_accuracy: 0.9204, prior_entropy: 0.5537, recall: 0.9204, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.9164, kappa: 0.6092, kb_relative_information_score: 721.0891, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.915, predictive_accuracy: 0.9204, prior_entropy: 0.5537, recall: 0.9204, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.8122, kb_relative_information_score: -4033.5015, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 2.2168, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.4844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.856, kappa: 0.3757, kb_relative_information_score: 192.9308, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.861, predictive_accuracy: 0.8518, prior_entropy: 0.5537, recall: 0.8518, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3768, root_relative_squared_error: 1.1271, scimark_benchmark: 1095.9171, usercpu_time_millis: 579250, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 578970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8566, kappa: 0.4808, kb_relative_information_score: 98.6151, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9035, predictive_accuracy: 0.8362, prior_entropy: 0.5537, recall: 0.8362, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4047, root_relative_squared_error: 1.2106, scimark_benchmark: 860.0113, usercpu_time_millis: 23450, usercpu_time_millis_testing: 10920, usercpu_time_millis_training: 12530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.8122, kb_relative_information_score: 38.1571, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0007, scimark_benchmark: 1103.7517, usercpu_time_millis: 1695250, usercpu_time_millis_testing: 361020, usercpu_time_millis_training: 1334230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.8485, kappa: 0.343, kb_relative_information_score: 2.0625, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8537, predictive_accuracy: 0.844, prior_entropy: 0.5537, recall: 0.844, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.156, scimark_benchmark: 1007.9685, usercpu_time_millis: 30000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 29940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.9285, kappa: 0.6819, kb_relative_information_score: 847.33, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.929, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.247, root_relative_squared_error: 0.739, scimark_benchmark: 1016.2193, usercpu_time_millis: 2543020, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2542980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.8122, kb_relative_information_score: 37.204, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0007, scimark_benchmark: 894.2585, usercpu_time_millis: 1892530, usercpu_time_millis_testing: 413850, usercpu_time_millis_training: 1478680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8827, kappa: 0.432, kb_relative_information_score: 603.8418, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8803, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.974, scimark_benchmark: 1430.5044, usercpu_time_millis: 109160, usercpu_time_millis_testing: 104170, usercpu_time_millis_training: 4990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9409, kappa: 0.7288, kb_relative_information_score: 996.2386, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9402, predictive_accuracy: 0.9424, prior_entropy: 0.5537, recall: 0.9424, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.686, scimark_benchmark: 1296.0388, usercpu_time_millis: 677330, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 677220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.9261, kappa: 0.6662, kb_relative_information_score: 896.9371, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9255, predictive_accuracy: 0.9269, prior_entropy: 0.5537, recall: 0.9269, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.8091, scimark_benchmark: 1353.4787, usercpu_time_millis: 20810, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 20500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9177, kappa: 0.6156, kb_relative_information_score: 705.1905, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9165, predictive_accuracy: 0.9217, prior_entropy: 0.5537, recall: 0.9217, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7738, scimark_benchmark: 567.0083, usercpu_time_millis: 18250, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 17980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.9261, kappa: 0.6662, kb_relative_information_score: 896.9371, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9255, predictive_accuracy: 0.9269, prior_entropy: 0.5537, recall: 0.9269, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.8091, scimark_benchmark: 1411.6959, usercpu_time_millis: 23820, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 23430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.9143, kappa: 0.61, kb_relative_information_score: 799.9979, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9132, predictive_accuracy: 0.9159, prior_entropy: 0.5537, recall: 0.9159, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8678, scimark_benchmark: 1545.3772, usercpu_time_millis: 14450, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 13930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.8896, kappa: 0.493, kb_relative_information_score: 584.5542, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8873, predictive_accuracy: 0.8926, prior_entropy: 0.5537, recall: 0.8926, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8898, scimark_benchmark: 1390.5199, usercpu_time_millis: 207310, usercpu_time_millis_testing: 207300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.9027, kappa: 0.5263, kb_relative_information_score: 736.6912, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9045, predictive_accuracy: 0.9126, prior_entropy: 0.5537, recall: 0.9126, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.7813, scimark_benchmark: 1457.2533, usercpu_time_millis: 1469030, usercpu_time_millis_testing: 2400, usercpu_time_millis_training: 1466630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.941, kappa: 0.7222, kb_relative_information_score: 823.9289, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9419, predictive_accuracy: 0.9443, prior_entropy: 0.5537, recall: 0.9443, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.6117, scimark_benchmark: 1561.1299, usercpu_time_millis: 1493180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1493100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.907, kappa: 0.588, kb_relative_information_score: 661.2579, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.908, predictive_accuracy: 0.9061, prior_entropy: 0.5537, recall: 0.9061, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8731, scimark_benchmark: 1126.4598, usercpu_time_millis: 1924060, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1923910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.9278, kappa: 0.675, kb_relative_information_score: 830.7297, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7497, scimark_benchmark: 1342.7346, usercpu_time_millis: 1524230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1524150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.9309, kappa: 0.6803, kb_relative_information_score: 953.9601, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.93, predictive_accuracy: 0.9333, prior_entropy: 0.5537, recall: 0.9333, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.7724, scimark_benchmark: 1454.8566, usercpu_time_millis: 1400850, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1400800,

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