OpenML
Supervised Classification on fri_c4_100_10

Supervised Classification on fri_c4_100_10

Task 3742 Supervised Classification fri_c4_100_10 769 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: 0.4578, build_cpu_time: 0.0002, build_memory: 1033492128, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, build_cpu_time: 0.0006, build_memory: 16317324, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.5092, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9653, scimark_benchmark: 947.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, build_cpu_time: 0.014, build_memory: 636842378.4, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, build_cpu_time: 0.0148, build_memory: 1671563078.4, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, build_cpu_time: 0.0586, build_memory: 1311659872, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.7548, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9919, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, build_cpu_time: 0.0594, build_memory: 453708470.4, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.7548, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9919, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, build_cpu_time: 0.0377, build_memory: 369423523.2, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 22.3066, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0224, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, build_cpu_time: 0.0892, build_memory: 604644337.6, f_measure: 0.6097, kappa: 0.2162, kb_relative_information_score: 24.2342, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6096, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0062, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, build_cpu_time: 0.0949, build_memory: 678628062.4, f_measure: 0.6097, kappa: 0.2162, kb_relative_information_score: 24.2342, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6096, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0062, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 0.2042, build_memory: 432780997.6, f_measure: 0.6403, kappa: 0.2809, kb_relative_information_score: 26.5219, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6426, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9884, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 0.1778, build_memory: 485776336.8, f_measure: 0.6403, kappa: 0.2809, kb_relative_information_score: 26.5219, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6426, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9884, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 0.1958, build_memory: 622844550.4, f_measure: 0.6403, kappa: 0.2809, kb_relative_information_score: 26.5219, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6426, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9884, scimark_benchmark: 935.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 0.1867, build_memory: 560215480.8, f_measure: 0.6403, kappa: 0.2809, kb_relative_information_score: 26.5219, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6426, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9884, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, build_cpu_time: 0.46, build_memory: 496614164.8, f_measure: 0.6502, kappa: 0.3017, kb_relative_information_score: 26.7657, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6536, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9824, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, build_cpu_time: 0.6427, build_memory: 1724448287.2, f_measure: 0.66, kappa: 0.3224, kb_relative_information_score: 26.4984, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6648, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9855, scimark_benchmark: 945.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, build_cpu_time: 0.0817, build_memory: 946237321.6, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 42.2119, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7428, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, build_cpu_time: 0.0371, build_memory: 253415041.6, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 42.1162, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7437, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, build_cpu_time: 0.0435, build_memory: 262037164.8, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 42.1162, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7437, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, build_cpu_time: 0.021, build_memory: 1240722499.2, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 42.1537, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7467, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 0.0108, build_memory: 1353606924.8, f_measure: 0.8187, kappa: 0.6361, kb_relative_information_score: 43.4923, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8234, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7342, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 0.0109, build_memory: 1652838644, f_measure: 0.8187, kappa: 0.6361, kb_relative_information_score: 43.4923, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8234, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7342, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, build_cpu_time: 0.004, build_memory: 498077129.6, f_measure: 0.8, kappa: 0.6014, kb_relative_information_score: 42.7682, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8058, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7465, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, build_cpu_time: 0.0042, build_memory: 848494651.2, f_measure: 0.8, kappa: 0.6014, kb_relative_information_score: 42.7682, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8058, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7465, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, build_cpu_time: 0.004, build_memory: 2738364939.2, f_measure: 0.8, kappa: 0.6014, kb_relative_information_score: 42.7682, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8058, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7465, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, build_cpu_time: 0.0084, build_memory: 1119133576.8, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 42.6271, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7434, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, build_cpu_time: 0.0323, build_memory: 789099625.6, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 43.803, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7188, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 2.8518, build_memory: 2479653617.6, f_measure: 0.8197, kappa: 0.6378, kb_relative_information_score: 40.2663, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7352, scimark_benchmark: 929.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 1.3097, build_memory: 793385520.8, f_measure: 0.8197, kappa: 0.6378, kb_relative_information_score: 40.7013, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7312, scimark_benchmark: 935.3052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.2027, build_memory: 1146635024, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 41.9677, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7239, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 0.0024, build_memory: 770800326.4, f_measure: 0.7168, kappa: 0.4325, kb_relative_information_score: 39.9729, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7231, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8669, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, build_cpu_time: 0.0053, build_memory: 491347860, f_measure: 0.6871, kappa: 0.3725, kb_relative_information_score: 33.1818, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6912, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8913, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, build_cpu_time: 0.0067, build_memory: 477830328.8, f_measure: 0.6871, kappa: 0.3725, kb_relative_information_score: 33.1818, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6912, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8913, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, build_cpu_time: 0.0091, build_memory: 197808092, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 35.1743, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.857, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, build_cpu_time: 0.1012, build_memory: 552524484.8, f_measure: 0.8101, kappa: 0.6209, kb_relative_information_score: 38.6709, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8142, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7611, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 0.0289, build_memory: 967437269.6, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 36.3036, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8537, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 0.0288, build_memory: 1089839116.8, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 36.3036, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8537, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 0.0203, build_memory: 830128680, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 36.3036, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8537, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.0593, build_memory: 107120205.6, f_measure: 0.8301, kappa: 0.6608, kb_relative_information_score: 42.4204, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.755, scimark_benchmark: 932.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, build_cpu_time: 0.0281, build_memory: 506327036, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 23.4724, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6737, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9408, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 0.0101, build_memory: 1065887832, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 53.8515, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9176, scimark_benchmark: 932.5791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, build_cpu_time: 13.8573, build_memory: 1847888732.8, f_measure: 0.7098, kappa: 0.4228, kb_relative_information_score: 34.2727, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7166, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8531, scimark_benchmark: 926.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, build_cpu_time: 25.1646, build_memory: 171113509.6, f_measure: 0.7101, kappa: 0.4214, kb_relative_information_score: 33.4081, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7138, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8577, scimark_benchmark: 938.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, build_cpu_time: 0.0222, build_memory: 105837154.4, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 33.5893, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8424, scimark_benchmark: 1223.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, build_cpu_time: 0.0895, build_memory: 1457496435.2, f_measure: 0.6586, kappa: 0.3142, kb_relative_information_score: 24.9002, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6594, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9466, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, build_cpu_time: 0.0097, build_memory: 1168155916.8, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 33.8041, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8447, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, build_cpu_time: 0.0049, build_memory: 456879614.4, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 34.0052, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8454, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, build_cpu_time: 0.0028, build_memory: 984605208.8, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 34.2837, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8409, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, build_cpu_time: 0.0038, build_memory: 317092565.6, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 35.1436, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8475, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, build_cpu_time: 0.4339, build_memory: 2581120826.4, f_measure: 0.8295, kappa: 0.6575, kb_relative_information_score: 52.2571, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6984, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 0.6445, build_memory: 767074674.4, f_measure: 0.8193, kappa: 0.637, kb_relative_information_score: 49.1334, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, build_cpu_time: 1.3108, build_memory: 1192810713.6, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 47.28, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7167, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, build_cpu_time: 2.6246, build_memory: 628766393.6, f_measure: 0.84, kappa: 0.6788, kb_relative_information_score: 47.9293, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7082, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 5.3123, build_memory: 146164594.4, f_measure: 0.8301, kappa: 0.6592, kb_relative_information_score: 47.9214, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7055, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, build_cpu_time: 0.9051, build_memory: 1245574420.8, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 59.7616, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, build_cpu_time: 0.7626, build_memory: 1437521211.2, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 59.7616, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, build_cpu_time: 0.3293, build_memory: 1019917692.8, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 55.9528, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9341, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, build_cpu_time: 0.2186, build_memory: 733385876.8, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 53.5822, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, build_cpu_time: 0.2029, build_memory: 987048286.4, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 53.5822, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, build_cpu_time: 0.2073, build_memory: 1497577764, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 53.5822, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, build_cpu_time: 0.0821, build_memory: 38478093.6, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 52.5779, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9622, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, build_cpu_time: 0.0822, build_memory: 397445389.6, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 52.5779, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9622, scimark_benchmark: 947.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, build_cpu_time: 0.037, build_memory: 1308430208.8, f_measure: 0.7501, kappa: 0.4988, kb_relative_information_score: 50.4219, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9675, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, build_cpu_time: 0.1476, build_memory: 593687126.4, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 47.6684, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7158, scimark_benchmark: 940.3019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 0.375, build_memory: 1960067213.6, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 47.2428, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.719, scimark_benchmark: 940.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 0.1068, build_memory: 70830000.8, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 48.8377, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7211, scimark_benchmark: 943.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 0.0524, build_memory: 1572094756, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 49.5824, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7146, scimark_benchmark: 919.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, build_cpu_time: 0.0257, build_memory: 747993637.6, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 49.3251, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.717, scimark_benchmark: 923.7316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, build_cpu_time: 0.0132, build_memory: 779176224, f_measure: 0.8082, kappa: 0.6154, kb_relative_information_score: 51.5001, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8147, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7011, scimark_benchmark: 946.7083,

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