OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8204, kappa: 0.5619, kb_relative_information_score: 2146.3859, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8192, predictive_accuracy: 0.8227, prior_entropy: 0.8733, recall: 0.8227, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8432, kappa: 0.6195, kb_relative_information_score: 2693.0086, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8425, predictive_accuracy: 0.8444, prior_entropy: 0.8733, recall: 0.8444, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.846, kappa: 0.6273, kb_relative_information_score: 2605.1292, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8455, predictive_accuracy: 0.8466, prior_entropy: 0.8733, recall: 0.8466, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8557, kappa: 0.6495, kb_relative_information_score: 3088.2054, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.855, predictive_accuracy: 0.8568, prior_entropy: 0.8733, recall: 0.8568, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.785, kappa: 0.4642, kb_relative_information_score: 1583.0079, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7873, predictive_accuracy: 0.7961, prior_entropy: 0.8733, recall: 0.7961, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.853, kappa: 0.6435, kb_relative_information_score: 2795.0538, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8524, predictive_accuracy: 0.8538, prior_entropy: 0.8733, recall: 0.8538, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8468, kappa: 0.6292, kb_relative_information_score: 2598.8917, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8463, predictive_accuracy: 0.8473, prior_entropy: 0.8733, recall: 0.8473, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8541, kappa: 0.6457, kb_relative_information_score: 3070.843, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8534, predictive_accuracy: 0.8553, prior_entropy: 0.8733, recall: 0.8553, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8623, kappa: 0.6656, kb_relative_information_score: 3217.2237, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8617, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.817, kappa: 0.5589, kb_relative_information_score: 2135.9094, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8171, predictive_accuracy: 0.817, prior_entropy: 0.8733, recall: 0.817, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8541, kappa: 0.6457, kb_relative_information_score: 3070.843, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8534, predictive_accuracy: 0.8553, prior_entropy: 0.8733, recall: 0.8553, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7949, kappa: 0.4913, kb_relative_information_score: 1650.2512, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7953, predictive_accuracy: 0.8031, prior_entropy: 0.8733, recall: 0.8031, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8328, kappa: 0.5947, kb_relative_information_score: 2299.6807, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8321, predictive_accuracy: 0.8338, prior_entropy: 0.8733, recall: 0.8338, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8433, kappa: 0.6207, kb_relative_information_score: 2483.1927, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8428, predictive_accuracy: 0.8438, prior_entropy: 0.8733, recall: 0.8438, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8362, kappa: 0.6033, kb_relative_information_score: 2360.7641, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8356, predictive_accuracy: 0.837, prior_entropy: 0.8733, recall: 0.837, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7918, kappa: 0.4809, kb_relative_information_score: 1624.951, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7947, predictive_accuracy: 0.8026, prior_entropy: 0.8733, recall: 0.8026, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7918, kappa: 0.4809, kb_relative_information_score: 1624.951, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7947, predictive_accuracy: 0.8026, prior_entropy: 0.8733, recall: 0.8026, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.8142, kappa: 0.5504, kb_relative_information_score: 2091.705, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8136, predictive_accuracy: 0.8148, prior_entropy: 0.8733, recall: 0.8148, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8445, kappa: 0.6234, kb_relative_information_score: 2572.9298, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8439, predictive_accuracy: 0.8451, prior_entropy: 0.8733, recall: 0.8451, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.7566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.775, kappa: 0.4601, kb_relative_information_score: 1331.5616, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8388, kappa: 0.6093, kb_relative_information_score: 2395.2297, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8381, predictive_accuracy: 0.8397, prior_entropy: 0.8733, recall: 0.8397, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8716, kappa: 0.6884, kb_relative_information_score: 3377.239, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8711, predictive_accuracy: 0.8725, prior_entropy: 0.8733, recall: 0.8725, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8383, kappa: 0.6078, kb_relative_information_score: 2484.5796, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8376, predictive_accuracy: 0.8394, prior_entropy: 0.8733, recall: 0.8394, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.775, kappa: 0.4601, kb_relative_information_score: 1331.5616, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8332, kappa: 0.5956, kb_relative_information_score: 2410.3894, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8325, predictive_accuracy: 0.8342, prior_entropy: 0.8733, recall: 0.8342, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8499, kappa: 0.6368, kb_relative_information_score: 2876.7046, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8495, predictive_accuracy: 0.8505, prior_entropy: 0.8733, recall: 0.8505, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.855, kappa: 0.6482, kb_relative_information_score: 3103.9933, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8544, predictive_accuracy: 0.856, prior_entropy: 0.8733, recall: 0.856, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.817, kappa: 0.5558, kb_relative_information_score: 2184.7113, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.816, predictive_accuracy: 0.8183, prior_entropy: 0.8733, recall: 0.8183, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7942, kappa: 0.4882, kb_relative_information_score: 1653.0456, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7959, predictive_accuracy: 0.8037, prior_entropy: 0.8733, recall: 0.8037, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8204, kappa: 0.5619, kb_relative_information_score: 2146.3859, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8192, predictive_accuracy: 0.8227, prior_entropy: 0.8733, recall: 0.8227, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8426, kappa: 0.6173, kb_relative_information_score: 2705.4412, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8417, predictive_accuracy: 0.844, prior_entropy: 0.8733, recall: 0.844, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8479, kappa: 0.6322, kb_relative_information_score: 2586.1558, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8475, predictive_accuracy: 0.8483, prior_entropy: 0.8733, recall: 0.8483, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7632, kappa: 0.4524, kb_relative_information_score: 1152.4456, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7782, predictive_accuracy: 0.7563, prior_entropy: 0.8733, recall: 0.7563, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7751, kappa: 0.4618, kb_relative_information_score: 1323.0045, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.777, predictive_accuracy: 0.7735, prior_entropy: 0.8733, recall: 0.7735, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.817, kappa: 0.5558, kb_relative_information_score: 2184.7113, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.816, predictive_accuracy: 0.8183, prior_entropy: 0.8733, recall: 0.8183, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8293, kappa: 0.5862, kb_relative_information_score: 2293.228, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8286, predictive_accuracy: 0.8303, prior_entropy: 0.8733, recall: 0.8303, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7826,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8171, kappa: 0.5565, kb_relative_information_score: 2178.488, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8163, predictive_accuracy: 0.8181, prior_entropy: 0.8733, recall: 0.8181, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8344, kappa: 0.598, kb_relative_information_score: 2541.3736, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8336, predictive_accuracy: 0.8357, prior_entropy: 0.8733, recall: 0.8357, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8483, kappa: 0.6331, kb_relative_information_score: 2872.6648, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.7669, kappa: 0.4577, kb_relative_information_score: 1204.4899, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7791, predictive_accuracy: 0.7609, prior_entropy: 0.8733, recall: 0.7609, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.403, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7736, kappa: 0.4656, kb_relative_information_score: 1290.5267, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7801, predictive_accuracy: 0.7696, prior_entropy: 0.8733, recall: 0.7696, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8697, kappa: 0.6842, kb_relative_information_score: 3379.8276, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8692, predictive_accuracy: 0.8703, prior_entropy: 0.8733, recall: 0.8703, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8418, kappa: 0.6158, kb_relative_information_score: 2711.6231, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.841, predictive_accuracy: 0.8431, prior_entropy: 0.8733, recall: 0.8431, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8551, kappa: 0.6483, kb_relative_information_score: 3094.1642, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8544, predictive_accuracy: 0.856, prior_entropy: 0.8733, recall: 0.856, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7776, kappa: 0.453, kb_relative_information_score: 1453.5049, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.7831, prior_entropy: 0.8733, recall: 0.7831, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7752, kappa: 0.4593, kb_relative_information_score: 1336.7026, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7758, predictive_accuracy: 0.7746, prior_entropy: 0.8733, recall: 0.7746, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8758,

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

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From your own software

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

OpenML APIs