OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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35040 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9468, kappa: 0.9445, kb_relative_information_score: 18829.3808, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9475, predictive_accuracy: 0.9467, prior_entropy: 4.6998, recall: 0.9467, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.3183, scimark_benchmark: 945.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8147, kappa: 0.8071, kb_relative_information_score: 16500.9107, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8157, predictive_accuracy: 0.8145, prior_entropy: 4.6998, recall: 0.8145, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.5367, scimark_benchmark: 944.5855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 946.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 2009.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8237, kappa: 0.8154, kb_relative_information_score: 4102.45, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8291, predictive_accuracy: 0.8226, prior_entropy: 4.6998, recall: 0.8226, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9679, scimark_benchmark: 2023.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9409, kappa: 0.9383, kb_relative_information_score: 18324.8663, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9416, predictive_accuracy: 0.9407, prior_entropy: 4.6998, recall: 0.9407, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.3596, scimark_benchmark: 2021.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8781, kappa: 0.8731, kb_relative_information_score: 17633.8537, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8786, predictive_accuracy: 0.878, prior_entropy: 4.6998, recall: 0.878, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4727, scimark_benchmark: 2015.8724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.6379, kappa: 0.6267, kb_relative_information_score: 13745.3719, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6562, predictive_accuracy: 0.6411, prior_entropy: 4.6998, recall: 0.6411, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.7233, scimark_benchmark: 2006.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.6392, kappa: 0.6277, kb_relative_information_score: 13773.7488, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6557, predictive_accuracy: 0.6421, prior_entropy: 4.6998, recall: 0.6421, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.7248, scimark_benchmark: 2025.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.7726, kappa: 0.7645, kb_relative_information_score: 15608.6799, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7727, predictive_accuracy: 0.7736, prior_entropy: 4.6998, recall: 0.7736, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5861, scimark_benchmark: 2028.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7332, kb_relative_information_score: 15500.9604, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7594, predictive_accuracy: 0.7435, prior_entropy: 4.6998, recall: 0.7435, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6173, scimark_benchmark: 2007.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.846, kappa: 0.8395, kb_relative_information_score: 17037.5667, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8467, predictive_accuracy: 0.8457, prior_entropy: 4.6998, recall: 0.8457, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.5033, scimark_benchmark: 1980.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7716, kappa: 0.7643, kb_relative_information_score: 15561.7121, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.793, predictive_accuracy: 0.7734, prior_entropy: 4.6998, recall: 0.7734, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.6375, scimark_benchmark: 945.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9551, kappa: 0.9532, kb_relative_information_score: 19173.1896, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9553, predictive_accuracy: 0.955, prior_entropy: 4.6998, recall: 0.955, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2892, scimark_benchmark: 944.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9493, kappa: 0.9472, kb_relative_information_score: 18380.1856, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9497, predictive_accuracy: 0.9493, prior_entropy: 4.6998, recall: 0.9493, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.3354, scimark_benchmark: 941.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.6396, kappa: 0.6284, kb_relative_information_score: 5490.7495, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6578, predictive_accuracy: 0.6428, prior_entropy: 4.6998, recall: 0.6428, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.176, root_relative_squared_error: 0.9154, scimark_benchmark: 939.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.6501, kappa: 0.6414, kb_relative_information_score: 13843.2018, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.666, predictive_accuracy: 0.6553, prior_entropy: 4.6998, recall: 0.6553, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.136, root_relative_squared_error: 0.7074, scimark_benchmark: 950.0803,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 934.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.948, kappa: 0.9457, kb_relative_information_score: 18573.7666, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9485, predictive_accuracy: 0.9478, prior_entropy: 4.6998, recall: 0.9478, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.3316, scimark_benchmark: 921.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9696, kappa: 0.9683, kb_relative_information_score: 19419.7565, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 4.6998, recall: 0.9696, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2436, scimark_benchmark: 939.9041,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8886, kappa: 0.8839, kb_relative_information_score: 17770.7829, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8889, predictive_accuracy: 0.8884, prior_entropy: 4.6998, recall: 0.8884, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.4591, scimark_benchmark: 594.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8672, kappa: 0.8617, kb_relative_information_score: 16028.5346, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8677, predictive_accuracy: 0.867, prior_entropy: 4.6998, recall: 0.867, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.501, scimark_benchmark: 596.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.003, kb_relative_information_score: 1235.1312, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.6998, recall: 0.0395, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2303, root_relative_squared_error: 1.1976, scimark_benchmark: 939.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.483, kappa: 0.4791, kb_relative_information_score: 9869.1914, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4971, predictive_accuracy: 0.4992, prior_entropy: 4.6998, recall: 0.4992, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.8299, scimark_benchmark: 940.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9654, kappa: 0.9639, kb_relative_information_score: 19317.0855, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9653, prior_entropy: 4.6998, recall: 0.9653, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.2645, scimark_benchmark: 944.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9577, kappa: 0.956, kb_relative_information_score: 19155.7035, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9581, predictive_accuracy: 0.9577, prior_entropy: 4.6998, recall: 0.9577, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2609, scimark_benchmark: 946.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9388, kappa: 0.9363, kb_relative_information_score: 18442.6481, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9391, predictive_accuracy: 0.9388, prior_entropy: 4.6998, recall: 0.9388, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.3424, scimark_benchmark: 929.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.483, kappa: 0.4791, kb_relative_information_score: 9869.1914, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4971, predictive_accuracy: 0.4992, prior_entropy: 4.6998, recall: 0.4992, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.8299, scimark_benchmark: 944.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.9585, kb_relative_information_score: 19346.9008, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 4.6998, recall: 0.9601, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.049, root_relative_squared_error: 0.2548, scimark_benchmark: 947.1497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9731, kappa: 0.972, kb_relative_information_score: 19456.3411, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9733, predictive_accuracy: 0.9731, prior_entropy: 4.6998, recall: 0.9731, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.2361, scimark_benchmark: 940.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9409, kappa: 0.9383, kb_relative_information_score: 18324.8663, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9416, predictive_accuracy: 0.9407, prior_entropy: 4.6998, recall: 0.9407, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.3596, scimark_benchmark: 946.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8237, kappa: 0.8154, kb_relative_information_score: 8743.0195, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8291, predictive_accuracy: 0.8226, prior_entropy: 4.6998, recall: 0.8226, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.8547, scimark_benchmark: 921.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9003, kappa: 0.896, kb_relative_information_score: 17825.6779, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9013, predictive_accuracy: 0.9001, prior_entropy: 4.6998, recall: 0.9001, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.407, scimark_benchmark: 925.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.7497, kappa: 0.7363, kb_relative_information_score: 15511.748, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7619, predictive_accuracy: 0.7465, prior_entropy: 4.6998, recall: 0.7465, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.6123, scimark_benchmark: 945.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9114, kappa: 0.9075, kb_relative_information_score: 17888.5466, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9136, predictive_accuracy: 0.9111, prior_entropy: 4.6998, recall: 0.9111, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3991, scimark_benchmark: 947.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0918, kappa: 0.1383, kb_relative_information_score: 3226.6006, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.068, predictive_accuracy: 0.172, prior_entropy: 4.6998, recall: 0.172, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3124, scimark_benchmark: 937.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8203, kappa: 0.8123, kb_relative_information_score: 16480.448, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8271, predictive_accuracy: 0.8196, prior_entropy: 4.6998, recall: 0.8196, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.5756, scimark_benchmark: 945.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 595.2128,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8828, kappa: 0.878, kb_relative_information_score: 17726.9654, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8832, predictive_accuracy: 0.8827, prior_entropy: 4.6998, recall: 0.8827, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.089, root_relative_squared_error: 0.4629, scimark_benchmark: 596.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.955, kappa: 0.9532, kb_relative_information_score: 19181.3867, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9551, predictive_accuracy: 0.955, prior_entropy: 4.6998, recall: 0.955, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.2852, scimark_benchmark: 599.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8817, kappa: 0.8768, kb_relative_information_score: 16074.8422, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8822, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.4929, scimark_benchmark: 898.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 864.2059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.899, kappa: 0.8945, kb_relative_information_score: 16406.6702, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9015, predictive_accuracy: 0.8986, prior_entropy: 4.6998, recall: 0.8986, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4623, scimark_benchmark: 942.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8966, kappa: 0.892, kb_relative_information_score: 16215.8122, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8993, predictive_accuracy: 0.8962, prior_entropy: 4.6998, recall: 0.8962, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707, scimark_benchmark: 946.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 924.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.0076, kappa: 0.014, kb_relative_information_score: 814.9256, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0041, predictive_accuracy: 0.0523, prior_entropy: 4.6998, recall: 0.0523, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.27, root_relative_squared_error: 1.4041, scimark_benchmark: 946.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.1005, kappa: 0.1502, kb_relative_information_score: 4666.6544, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0768, predictive_accuracy: 0.1835, prior_entropy: 4.6998, recall: 0.1835, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2187, root_relative_squared_error: 1.1371, scimark_benchmark: 923.8873,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.5306, kappa: 0.5266, kb_relative_information_score: 10214.0763, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5553, predictive_accuracy: 0.5449, prior_entropy: 4.6998, recall: 0.5449, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.8136, scimark_benchmark: 922.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8487, kappa: 0.8424, kb_relative_information_score: 17097.79, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8494, predictive_accuracy: 0.8485, prior_entropy: 4.6998, recall: 0.8485, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8781, kappa: 0.8731, kb_relative_information_score: 17633.8537, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8786, predictive_accuracy: 0.878, prior_entropy: 4.6998, recall: 0.878, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 895.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.4068, kappa: 0.4174, kb_relative_information_score: 3798.1324, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5675, predictive_accuracy: 0.44, prior_entropy: 4.6998, recall: 0.44, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9713, scimark_benchmark: 872.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9597, kappa: 0.958, kb_relative_information_score: 18429.9285, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 4.6998, recall: 0.9597, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.3313, scimark_benchmark: 895.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 946.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 942.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 932.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9338, kappa: 0.9311, kb_relative_information_score: 18422.685, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 4.6998, recall: 0.9338, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3479, scimark_benchmark: 943.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8846, kappa: 0.8794, kb_relative_information_score: 15633.6191, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8879, predictive_accuracy: 0.8841, prior_entropy: 4.6998, recall: 0.8841, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.5057, scimark_benchmark: 894.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9511, kappa: 0.9491, kb_relative_information_score: 18955.2252, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 4.6998, recall: 0.9511, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.2931, scimark_benchmark: 887.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.4123, kappa: 0.4237, kb_relative_information_score: 3812.4719, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.579, predictive_accuracy: 0.4461, prior_entropy: 4.6998, recall: 0.4461, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.971, scimark_benchmark: 898.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9718, kappa: 0.9706, kb_relative_information_score: 19435.3685, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 4.6998, recall: 0.9717, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407, scimark_benchmark: 578.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9729, kappa: 0.9718, kb_relative_information_score: 19459.3363, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 4.6998, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2354, scimark_benchmark: 942.1787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.003, kb_relative_information_score: 1011.0861, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.6998, recall: 0.0395, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.1956, scimark_benchmark: 900.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 932.5629,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9718, kappa: 0.9706, kb_relative_information_score: 19435.3685, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 4.6998, recall: 0.9717, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407, scimark_benchmark: 945.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9718, kappa: 0.9706, kb_relative_information_score: 19435.3685, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 4.6998, recall: 0.9717, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407, scimark_benchmark: 914.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9658, kappa: 0.9643, kb_relative_information_score: 19341.4323, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 4.6998, recall: 0.9657, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.05, root_relative_squared_error: 0.2598, scimark_benchmark: 930.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 922.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 943.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.0252, kappa: 0.0323, kb_relative_information_score: 2445.2725, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0175, predictive_accuracy: 0.0704, prior_entropy: 4.6998, recall: 0.0704, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9906, scimark_benchmark: 940.9008,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 921.8268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.6379, kappa: 0.6267, kb_relative_information_score: 3032.4985, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6562, predictive_accuracy: 0.6411, prior_entropy: 4.6998, recall: 0.6411, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9715, scimark_benchmark: 945.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9637, kappa: 0.9621, kb_relative_information_score: 19297.2479, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 4.6998, recall: 0.9636, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2678, scimark_benchmark: 923.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 945.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9729, kappa: 0.9718, kb_relative_information_score: 19459.3742, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.973, predictive_accuracy: 0.9729, prior_entropy: 4.6998, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2355, scimark_benchmark: 943.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 937.0436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8948, kappa: 0.8901, kb_relative_information_score: 16150.9319, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 4.6998, recall: 0.8943, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4746, scimark_benchmark: 945.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9608, kappa: 0.9593, kb_relative_information_score: 19367.0146, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 4.6998, recall: 0.9609, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.2477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8966, kappa: 0.892, kb_relative_information_score: 16215.8122, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8993, predictive_accuracy: 0.8962, prior_entropy: 4.6998, recall: 0.8962, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707, scimark_benchmark: 940.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.6381, kappa: 0.6271, kb_relative_information_score: 13779.0765, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6564, predictive_accuracy: 0.6415, prior_entropy: 4.6998, recall: 0.6415, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7197, scimark_benchmark: 936.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 921.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.6379, kappa: 0.6267, kb_relative_information_score: 3032.4985, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6562, predictive_accuracy: 0.6411, prior_entropy: 4.6998, recall: 0.6411, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9715, scimark_benchmark: 928.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0857, kappa: 0.1382, kb_relative_information_score: 3222.7949, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0661, predictive_accuracy: 0.1719, prior_entropy: 4.6998, recall: 0.1719, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3125, scimark_benchmark: 927.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.483, kappa: 0.4791, kb_relative_information_score: 9869.1914, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4971, predictive_accuracy: 0.4992, prior_entropy: 4.6998, recall: 0.4992, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.8299, scimark_benchmark: 942.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0857, kappa: 0.1382, kb_relative_information_score: 3222.7949, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0661, predictive_accuracy: 0.1719, prior_entropy: 4.6998, recall: 0.1719, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3125, scimark_benchmark: 928.2917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 934.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7036, kappa: 0.6913, kb_relative_information_score: 14383.3985, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7053, predictive_accuracy: 0.7032, prior_entropy: 4.6998, recall: 0.7032, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.6538, scimark_benchmark: 947.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.6549, kappa: 0.6319, kb_relative_information_score: 9232.7954, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6836, predictive_accuracy: 0.6461, prior_entropy: 4.6998, recall: 0.6461, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.8098, scimark_benchmark: 930.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.8622, kappa: 0.856, kb_relative_information_score: 17624.8581, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8616, prior_entropy: 4.6998, recall: 0.8616, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.4597, scimark_benchmark: 947.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 912.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8274, kappa: 0.8189, kb_relative_information_score: 16219.772, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8348, predictive_accuracy: 0.8259, prior_entropy: 4.6998, recall: 0.8259, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5407, scimark_benchmark: 943.2867,

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