OpenML
Supervised Classification on pasture

Supervised Classification on pasture

Task 3498 Supervised Classification pasture 390 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.7532, kappa: 0.625, kb_relative_information_score: 19.6314, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7667, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.6492, kappa: 0.5, kb_relative_information_score: 18.9842, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6528, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.6963, kappa: 0.5417, kb_relative_information_score: 19.4959, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6997, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7443, kappa: 0.625, kb_relative_information_score: 21.6698, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7519, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.618, kappa: 0.4167, kb_relative_information_score: 17.4386, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6408, predictive_accuracy: 0.6111, prior_entropy: 1.585, recall: 0.6111, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7291, kappa: 0.625, kb_relative_information_score: 19.0048, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7444, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.6884, kappa: 0.5417, kb_relative_information_score: 21.0806, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.684, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.6601, kappa: 0.5, kb_relative_information_score: 21.1703, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6587, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.5924, kappa: 0.375, kb_relative_information_score: 16.664, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6224, predictive_accuracy: 0.5833, prior_entropy: 1.585, recall: 0.5833, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7156, kappa: 0.5833, kb_relative_information_score: 21.4519, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7204, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.382, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.6994, kappa: 0.5417, kb_relative_information_score: 21.0749, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7103, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.6912, kappa: 0.5417, kb_relative_information_score: 21.5763, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6926, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.6349, kappa: 0.4583, kb_relative_information_score: 16.27, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6323, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.6975, kappa: 0.5417, kb_relative_information_score: 15.3733, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7022, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7143, kappa: 0.5833, kb_relative_information_score: 20.4959, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7135, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8041, kappa: 0.7083, kb_relative_information_score: 21.2415, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8044, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.2, kappa: -0.0833, kb_relative_information_score: -0, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 1.585, recall: 0.2778, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.7688, kappa: 0.6667, kb_relative_information_score: 21.7661, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.782, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7688, kappa: 0.6667, kb_relative_information_score: 21.5066, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.782, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7508, kappa: 0.625, kb_relative_information_score: 17.9965, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7531, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.6315, kappa: 0.4583, kb_relative_information_score: 18.6736, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6282, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.6411, kappa: 0.4583, kb_relative_information_score: 17.2119, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6556, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.6485, kappa: 0.4583, kb_relative_information_score: 19.4244, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6677, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7462, kappa: 0.625, kb_relative_information_score: 16.297, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7442, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7222, kappa: 0.5833, kb_relative_information_score: 22.7895, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7222, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.6963, kappa: 0.5417, kb_relative_information_score: 19.5673, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6997, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.7473, kappa: 0.625, kb_relative_information_score: 23.8822, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7463, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.6315, kappa: 0.4583, kb_relative_information_score: 18.6736, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6282, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7492, kappa: 0.625, kb_relative_information_score: 17.0351, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7532, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8041, kappa: 0.7083, kb_relative_information_score: 19.6059, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8044, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7462, kappa: 0.625, kb_relative_information_score: 16.297, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7442, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4097, f_measure: 0.238, kappa: -0.0833, kb_relative_information_score: 0.1111, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.2719, predictive_accuracy: 0.2778, prior_entropy: 1.585, recall: 0.2778, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.7994, kappa: 0.7083, kb_relative_information_score: 17.9585, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8093, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6332, kappa: 0.4583, kb_relative_information_score: 18.2021, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.637, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8052, kappa: 0.7083, kb_relative_information_score: 25.7856, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8065, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7164, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.6332, kappa: 0.4583, kb_relative_information_score: 18.2664, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.637, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9967, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.1863, kappa: -0.125, kb_relative_information_score: -0.9649, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.1698, predictive_accuracy: 0.25, prior_entropy: 1.585, recall: 0.25, relative_absolute_error: 1.125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5, scimark_benchmark: 904.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.1863, kappa: -0.125, kb_relative_information_score: -0.9649, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.1698, predictive_accuracy: 0.25, prior_entropy: 1.585, recall: 0.25, relative_absolute_error: 1.125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7152, kappa: 0.5833, kb_relative_information_score: 19.6562, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7128, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7119, scimark_benchmark: 941.6675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.6912, kappa: 0.5417, kb_relative_information_score: 18.8423, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6926, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8727, scimark_benchmark: 927.2917, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7152, kappa: 0.5833, kb_relative_information_score: 19.6562, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7128, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7119, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.6912, kappa: 0.5417, kb_relative_information_score: 18.8423, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6926, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8727, scimark_benchmark: 942.3809, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8041, kappa: 0.7083, kb_relative_information_score: 19.6059, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8044, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6857, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8052, kappa: 0.7083, kb_relative_information_score: 25.7856, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8065, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7164, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.1863, kappa: -0.125, kb_relative_information_score: -0.9649, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.1698, predictive_accuracy: 0.25, prior_entropy: 1.585, recall: 0.25, relative_absolute_error: 1.125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5, scimark_benchmark: 1331.4944, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7152, kappa: 0.5833, kb_relative_information_score: 19.6562, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7128, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7119, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7532, kappa: 0.625, kb_relative_information_score: 24.2789, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7582, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7626, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7152, kappa: 0.5833, kb_relative_information_score: 19.6562, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7128, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7119, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8038, kappa: 0.7083, kb_relative_information_score: 24.5751, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8074, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 1303.5632,

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