Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 31010.2645, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9335, kappa: 0.8359, kb_relative_information_score: 28409.0778, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9339, prior_entropy: 0.863, recall: 0.9339, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.856, kappa: 0.6472, kb_relative_information_score: 21283.0482, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.856, predictive_accuracy: 0.8561, prior_entropy: 0.863, recall: 0.8561, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9078, kappa: 0.7741, kb_relative_information_score: 26025.7636, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 0.863, recall: 0.9078, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9595, kappa: 0.9003, kb_relative_information_score: 30765.8221, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9417, kappa: 0.857, kb_relative_information_score: 29134.4342, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3132, f_measure: 0.4395, kappa: -0.3737, kb_relative_information_score: -16849.9781, mean_absolute_error: 0.5604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.4394, predictive_accuracy: 0.4396, prior_entropy: 0.863, recall: 0.4396, relative_absolute_error: 1.3731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.7486, root_relative_squared_error: 1.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9342, kappa: 0.8378, kb_relative_information_score: 28475.5023, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8541, kappa: 0.6424, kb_relative_information_score: 21102.3733, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8541, predictive_accuracy: 0.8541, prior_entropy: 0.863, recall: 0.8541, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.382, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.8454, kappa: 0.6209, kb_relative_information_score: 20318.5632, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8453, predictive_accuracy: 0.8455, prior_entropy: 0.863, recall: 0.8455, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9446, kappa: 0.8641, kb_relative_information_score: 29389.5047, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9631, kappa: 0.9096, kb_relative_information_score: 31087.3171, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9503, kappa: 0.8781, kb_relative_information_score: 29920.9013, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9628, kappa: 0.9089, kb_relative_information_score: 31060.7472, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.832, kappa: 0.5883, kb_relative_information_score: 19085.7229, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.832, predictive_accuracy: 0.8321, prior_entropy: 0.863, recall: 0.8321, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9359, kappa: 0.8423, kb_relative_information_score: 28621.6364, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9562, kappa: 0.8926, kb_relative_information_score: 30454.955, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.8807, kappa: 0.6971, kb_relative_information_score: 24149.9333, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8919, predictive_accuracy: 0.8874, prior_entropy: 0.863, recall: 0.8874, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8418, kappa: 0.6123, kb_relative_information_score: 19981.1263, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8418, predictive_accuracy: 0.8418, prior_entropy: 0.863, recall: 0.8418, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8297, kappa: 0.5827, kb_relative_information_score: 18873.1642, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8297, predictive_accuracy: 0.8297, prior_entropy: 0.863, recall: 0.8297, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9385, kappa: 0.8495, kb_relative_information_score: 26872.8769, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.935, kappa: 0.8408, kb_relative_information_score: 24812.295, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9373, kappa: 0.8467, kb_relative_information_score: 27393.0269, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9332, kappa: 0.8365, kb_relative_information_score: 24939.9462, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9276, kappa: 0.82, kb_relative_information_score: 20724.1726, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9289, prior_entropy: 0.863, recall: 0.9289, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9343, kappa: 0.8391, kb_relative_information_score: 26333.1413, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9344, kappa: 0.8396, kb_relative_information_score: 26613.054, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9342, prior_entropy: 0.863, recall: 0.9342, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9362, kappa: 0.8437, kb_relative_information_score: 26506.8259, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.937, kappa: 0.8456, kb_relative_information_score: 26365.003, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9369, prior_entropy: 0.863, recall: 0.9369, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9362, kappa: 0.8437, kb_relative_information_score: 26807.6848, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9363, kappa: 0.8442, kb_relative_information_score: 26835.5162, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.938, kappa: 0.8483, kb_relative_information_score: 26817.3491, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9311, kappa: 0.8314, kb_relative_information_score: 26190.1041, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9312, predictive_accuracy: 0.9309, prior_entropy: 0.863, recall: 0.9309, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9383, kappa: 0.8492, kb_relative_information_score: 27489.4383, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9351, kappa: 0.841, kb_relative_information_score: 25750.5383, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9324, kappa: 0.8344, kb_relative_information_score: 25981.2082, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9324, prior_entropy: 0.863, recall: 0.9324, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9377, kappa: 0.8474, kb_relative_information_score: 26765.4309, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9357, kappa: 0.8425, kb_relative_information_score: 26519.7682, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9341, kappa: 0.8385, kb_relative_information_score: 26307.591, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.934, prior_entropy: 0.863, recall: 0.934, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.891, kappa: 0.739, kb_relative_information_score: 20103.86, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8889, prior_entropy: 0.863, recall: 0.8889, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7715, kappa: 0.5144, kb_relative_information_score: 9840.1104, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8435, predictive_accuracy: 0.7599, prior_entropy: 0.863, recall: 0.7599, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19284.1852, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7624, kappa: 0.5007, kb_relative_information_score: 9406.629, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8422, predictive_accuracy: 0.7504, prior_entropy: 0.863, recall: 0.7504, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.376, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8322, kappa: 0.5955, kb_relative_information_score: 18746.0102, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8361, predictive_accuracy: 0.8299, prior_entropy: 0.863, recall: 0.8299, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.39, root_relative_squared_error: 0.8633,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8365, kappa: 0.6065, kb_relative_information_score: 18831.2878, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8409, predictive_accuracy: 0.8339, prior_entropy: 0.863, recall: 0.8339, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9336, kappa: 0.8373, kb_relative_information_score: 26129.9325, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9254, kappa: 0.8168, kb_relative_information_score: 24821.3614, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9255, prior_entropy: 0.863, recall: 0.9255, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8322, kappa: 0.5955, kb_relative_information_score: 18745.3371, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8361, predictive_accuracy: 0.8299, prior_entropy: 0.863, recall: 0.8299, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.39, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8321, kappa: 0.5948, kb_relative_information_score: 18710.955, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8357, predictive_accuracy: 0.8298, prior_entropy: 0.863, recall: 0.8298, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9358, kappa: 0.8429, kb_relative_information_score: 26967.0839, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9338, kappa: 0.8379, kb_relative_information_score: 26235.1799, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4882,

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