OpenML
Supervised Classification on lupus

Supervised Classification on lupus

Task 4267 Supervised Classification lupus 222 runs submitted
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 277.4633, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8746, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 269.8169, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8726, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.705, kappa: 0.3825, kb_relative_information_score: 257.0036, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7045, predictive_accuracy: 0.708, prior_entropy: 0.9735, recall: 0.708, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9488, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 269.8169, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8726, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.705, kappa: 0.3825, kb_relative_information_score: 257.0036, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7045, predictive_accuracy: 0.708, prior_entropy: 0.9735, recall: 0.708, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9488, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6576, kappa: 0.2884, kb_relative_information_score: 241.7282, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.6578, predictive_accuracy: 0.6575, prior_entropy: 0.9735, recall: 0.6575, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0656, scimark_benchmark: 1337.7947, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.714, kappa: 0.4, kb_relative_information_score: 237.5005, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7157, predictive_accuracy: 0.7195, prior_entropy: 0.9735, recall: 0.7195, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8862, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 277.4633, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8746, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7574, kappa: 0.4922, kb_relative_information_score: 303.9753, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7575, predictive_accuracy: 0.7598, prior_entropy: 0.9735, recall: 0.7598, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8219, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 277.4633, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8746, scimark_benchmark: 918.0213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 269.8169, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8726, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 1345.7204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.714, kappa: 0.4, kb_relative_information_score: 237.5005, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7157, predictive_accuracy: 0.7195, prior_entropy: 0.9735, recall: 0.7195, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8862, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 279.0959, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8755, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7461, kappa: 0.4718, kb_relative_information_score: 285.6026, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.789, predictive_accuracy: 0.7644, prior_entropy: 0.9735, recall: 0.7644, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8777, scimark_benchmark: 1329.8902,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.722, kappa: 0.4163, kb_relative_information_score: 292.0316, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7259, predictive_accuracy: 0.7287, prior_entropy: 0.9735, recall: 0.7287, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9053, scimark_benchmark: 1323.7742, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.714, kappa: 0.4, kb_relative_information_score: 237.5005, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7157, predictive_accuracy: 0.7195, prior_entropy: 0.9735, recall: 0.7195, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8862, scimark_benchmark: 1349.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6852, kappa: 0.3435, kb_relative_information_score: 288.6873, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.6845, predictive_accuracy: 0.6862, prior_entropy: 0.9735, recall: 0.6862, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1444, scimark_benchmark: 1340.1351,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7182, kappa: 0.4097, kb_relative_information_score: 276.891, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7366, predictive_accuracy: 0.7322, prior_entropy: 0.9735, recall: 0.7322, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9336, scimark_benchmark: 1339.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7058, kappa: 0.3833, kb_relative_information_score: 287.1321, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7062, predictive_accuracy: 0.7103, prior_entropy: 0.9735, recall: 0.7103, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9387, scimark_benchmark: 1292.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7413, kappa: 0.4608, kb_relative_information_score: 280.3172, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7781, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8764, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7399, kappa: 0.458, kb_relative_information_score: 197.6165, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7771, predictive_accuracy: 0.7575, prior_entropy: 0.9735, recall: 0.7575, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8667, scimark_benchmark: 1320.6159, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7073, kappa: 0.3856, kb_relative_information_score: 276.7407, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7098, predictive_accuracy: 0.7138, prior_entropy: 0.9735, recall: 0.7138, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9508, scimark_benchmark: 1360.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7332, kappa: 0.4407, kb_relative_information_score: 283.5259, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7486, predictive_accuracy: 0.7448, prior_entropy: 0.9735, recall: 0.7448, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8591, scimark_benchmark: 1327.2954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.7527, kappa: 0.487, kb_relative_information_score: 298.0772, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.8064, predictive_accuracy: 0.7724, prior_entropy: 0.9735, recall: 0.7724, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8497, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7088, kappa: 0.3892, kb_relative_information_score: 296.389, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7097, predictive_accuracy: 0.7138, prior_entropy: 0.9735, recall: 0.7138, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9572, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7385, kappa: 0.4511, kb_relative_information_score: 313.1689, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7476, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9056, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7356, kappa: 0.445, kb_relative_information_score: 310.6907, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7431, predictive_accuracy: 0.7437, prior_entropy: 0.9735, recall: 0.7437, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8883, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.734, kappa: 0.4417, kb_relative_information_score: 315.5616, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7448, predictive_accuracy: 0.7437, prior_entropy: 0.9735, recall: 0.7437, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8655, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7244, kappa: 0.4232, kb_relative_information_score: 308.5639, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7463, predictive_accuracy: 0.7391, prior_entropy: 0.9735, recall: 0.7391, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8562, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7272, kappa: 0.4273, kb_relative_information_score: 253.3224, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7305, predictive_accuracy: 0.7333, prior_entropy: 0.9735, recall: 0.7333, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9233, scimark_benchmark: 934.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7423, kappa: 0.4599, kb_relative_information_score: 264.2557, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7432, predictive_accuracy: 0.746, prior_entropy: 0.9735, recall: 0.746, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9601, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7407, kappa: 0.4562, kb_relative_information_score: 400.6, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7421, predictive_accuracy: 0.7448, prior_entropy: 0.9735, recall: 0.7448, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0301, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4472, kb_relative_information_score: 130.5863, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6343, root_relative_squared_error: 1.2935, scimark_benchmark: 1034.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7549, kappa: 0.4861, kb_relative_information_score: 425.9138, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7564, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4913, root_relative_squared_error: 1.0019, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7603, kappa: 0.4989, kb_relative_information_score: 289.9025, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7601, predictive_accuracy: 0.7621, prior_entropy: 0.9735, recall: 0.7621, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8216, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.678, kappa: 0.3371, kb_relative_information_score: 274.0311, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.6824, predictive_accuracy: 0.6759, prior_entropy: 0.9735, recall: 0.6759, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5693, root_relative_squared_error: 1.161, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7574, kappa: 0.4922, kb_relative_information_score: 303.9753, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7575, predictive_accuracy: 0.7598, prior_entropy: 0.9735, recall: 0.7598, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8219, scimark_benchmark: 883.2709, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.705, kappa: 0.3825, kb_relative_information_score: 257.0036, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7045, predictive_accuracy: 0.708, prior_entropy: 0.9735, recall: 0.708, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9488, scimark_benchmark: 1310.3951, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.68, kappa: 0.332, kb_relative_information_score: 281.3316, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.6791, predictive_accuracy: 0.6816, prior_entropy: 0.9735, recall: 0.6816, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1523, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7449, kappa: 0.4675, kb_relative_information_score: 298.2821, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4813, number_of_instances: 870, precision: 0.7782, predictive_accuracy: 0.7609, prior_entropy: 0.9735, recall: 0.7609, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8625, scimark_benchmark: 1319.9043,

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