Task
Supervised Classification on boston

Supervised Classification on boston

Task 3736 Supervised Classification boston 654 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8433, kappa: 0.6759, kb_relative_information_score: 303.5275, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8433, predictive_accuracy: 0.8439, prior_entropy: 0.9782, recall: 0.8439, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7762, kappa: 0.5543, kb_relative_information_score: 257.062, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7995, predictive_accuracy: 0.7747, prior_entropy: 0.9782, recall: 0.7747, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7959, kappa: 0.5923, kb_relative_information_score: 247.7644, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8169, predictive_accuracy: 0.7945, prior_entropy: 0.9782, recall: 0.7945, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8438, kappa: 0.6778, kb_relative_information_score: 293.5768, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8438, predictive_accuracy: 0.8439, prior_entropy: 0.9782, recall: 0.8439, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8826, kappa: 0.7566, kb_relative_information_score: 338.5303, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8838, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8203, kappa: 0.6299, kb_relative_information_score: 295.1196, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9782, recall: 0.8202, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8753, kappa: 0.7423, kb_relative_information_score: 373.6285, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8209, kappa: 0.6325, kb_relative_information_score: 291.1012, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8226, predictive_accuracy: 0.8202, prior_entropy: 0.9782, recall: 0.8202, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8488, kappa: 0.6867, kb_relative_information_score: 310.9943, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8495, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8592, kappa: 0.7088, kb_relative_information_score: 348.5088, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8756, kappa: 0.7438, kb_relative_information_score: 327.2488, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8758, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8018, kappa: 0.5901, kb_relative_information_score: 258.9608, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8016, predictive_accuracy: 0.8024, prior_entropy: 0.9782, recall: 0.8024, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7743, kappa: 0.5495, kb_relative_information_score: 266.2046, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7955, predictive_accuracy: 0.7727, prior_entropy: 0.9782, recall: 0.7727, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8493, kappa: 0.687, kb_relative_information_score: 349.8042, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8547, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8668, kappa: 0.724, kb_relative_information_score: 333.8428, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8643, kappa: 0.7185, kb_relative_information_score: 280.5492, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8664, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.0434, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8295, kappa: 0.6475, kb_relative_information_score: 292.7168, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8294, predictive_accuracy: 0.83, prior_entropy: 0.9782, recall: 0.83, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8514, kappa: 0.6928, kb_relative_information_score: 298.7054, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8513, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8513, kappa: 0.6923, kb_relative_information_score: 322.7116, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8513, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.4476, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7541, kappa: 0.5149, kb_relative_information_score: 246.5392, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7853, predictive_accuracy: 0.753, prior_entropy: 0.9782, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8485, kappa: 0.6858, kb_relative_information_score: 323.7539, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8499, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8648, kappa: 0.7201, kb_relative_information_score: 363.8306, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8654, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7643, kappa: 0.5321, kb_relative_information_score: 258.7731, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7903, predictive_accuracy: 0.7628, prior_entropy: 0.9782, recall: 0.7628, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.4476, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7503, kappa: 0.5065, kb_relative_information_score: 247.7786, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7797, predictive_accuracy: 0.749, prior_entropy: 0.9782, recall: 0.749, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8488, kappa: 0.6867, kb_relative_information_score: 347.1153, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8495, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8711, kappa: 0.7334, kb_relative_information_score: 370.0988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8712, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8036, kappa: 0.5992, kb_relative_information_score: 290.2464, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8084, predictive_accuracy: 0.8024, prior_entropy: 0.9782, recall: 0.8024, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7541, kappa: 0.5149, kb_relative_information_score: 246.2171, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7853, predictive_accuracy: 0.753, prior_entropy: 0.9782, recall: 0.753, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6208, kappa: 0.2516, kb_relative_information_score: 83.3079, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7257, predictive_accuracy: 0.6739, prior_entropy: 0.9782, recall: 0.6739, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8842, kappa: 0.7599, kb_relative_information_score: 334.3003, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8866, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.8441, kappa: 0.6791, kb_relative_information_score: 340.847, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 0.9782, recall: 0.8439, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8721, kappa: 0.7346, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8749, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8846, kappa: 0.7609, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8857, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8805, kappa: 0.7523, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8819, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8768, kappa: 0.7448, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8774, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7732, kappa: 0.5336, kb_relative_information_score: 265.6282, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7741, predictive_accuracy: 0.7727, prior_entropy: 0.9782, recall: 0.7727, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9682, scimark_benchmark: 1461.2356, usercpu_time_millis: 9046.875, usercpu_time_millis_training: 9046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8847, kappa: 0.7612, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8855, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876, scimark_benchmark: 1461.2356, usercpu_time_millis: 2515.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6055, kappa: 0.2259, kb_relative_information_score: 150.7105, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7158, predictive_accuracy: 0.664, prior_entropy: 0.9782, recall: 0.664, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1772, scimark_benchmark: 1959.6455, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4342, kb_relative_information_score: 69.2234, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3053, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4342, kb_relative_information_score: 69.2234, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3053, scimark_benchmark: 1392.1646, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.07,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.11,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.31, usercpu_time_millis_training: 0.31,

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