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: 0.7025, f_measure: 0.6691, kappa: 0.3447, kb_relative_information_score: 21.1009, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6792, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9608, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7668, kappa: 0.5333, kb_relative_information_score: 43.3106, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7766, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8818, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 48.7243, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7824, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, 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: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 40.7201, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8364, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, 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: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7902, kappa: 0.58, kb_relative_information_score: 16.2236, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8909, scimark_benchmark: 933.8635, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 19.9271, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.892, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.4508, kappa: 0.0898, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7626, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6385, kappa: 0.2739, kb_relative_information_score: 26.6255, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6392, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0252, scimark_benchmark: 936.6206, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 35.9028, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9204, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7888, kappa: 0.5759, kb_relative_information_score: 57.2796, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9194, scimark_benchmark: 935.8834, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 55.7445, mean_absolute_error: 0.2202, 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: 0.4419, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9389, scimark_benchmark: 915.2795, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 58.0928, mean_absolute_error: 0.2109, 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: 0.4232, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8308, scimark_benchmark: 883.7187, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.62, kappa: 0.2427, kb_relative_information_score: 16.5129, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6245, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9906, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 48.8963, mean_absolute_error: 0.2545, 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: 0.5107, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.989, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.0583, mean_absolute_error: 0.3645, 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: 0.7316, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9529, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.4508, kappa: 0.0898, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7626, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 935.8986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, build_cpu_time: 0.045, build_memory: 1210944772, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 18.7496, mean_absolute_error: 0.416, 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: 0.8349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, build_cpu_time: 0.0471, build_memory: 1089854240.8, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 18.7496, mean_absolute_error: 0.416, 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: 0.8349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, build_cpu_time: 0.0548, build_memory: 1143368564.8, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 18.7496, mean_absolute_error: 0.416, 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: 0.8349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, build_cpu_time: 0.0425, build_memory: 711349799.2, f_measure: 0.66, kappa: 0.3224, kb_relative_information_score: 18.7155, mean_absolute_error: 0.4162, 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: 0.8353, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9959, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, build_cpu_time: 0.0127, build_memory: 483769728.8, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 35.2716, mean_absolute_error: 0.3235, 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: 0.6492, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0119, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, build_cpu_time: 0.0141, build_memory: 861336644.8, f_measure: 0.7101, kappa: 0.4186, kb_relative_information_score: 41.9507, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.961, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.014, build_memory: 985828298.4, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 44.7823, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9396, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.015, build_memory: 1474727088.8, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 44.7823, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9396, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0181, build_memory: 871837392, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 44.7823, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9396, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0051, build_memory: 902933388, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0029, build_memory: 69095886.4, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.002, build_memory: 1932604664, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.001, build_memory: 2291213520.8, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0012, build_memory: 287192715.2, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.0345, build_memory: 903059045.6, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, 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: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.0219, build_memory: 1037689046.4, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, 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: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.034, build_memory: 1757228989.6, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, 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: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.0248, build_memory: 861632718.4, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, 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: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, build_cpu_time: 0.082, build_memory: 1295979421.6, f_measure: 0.8193, kappa: 0.637, kb_relative_information_score: 62.6901, mean_absolute_error: 0.1874, 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: 0.376, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8227, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, build_cpu_time: 0.0413, build_memory: 159871306.4, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 58.0928, mean_absolute_error: 0.2109, 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: 0.4232, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8308, scimark_benchmark: 930.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, build_cpu_time: 0.2136, build_memory: 305796005.6, f_measure: 0.62, kappa: 0.2427, kb_relative_information_score: 16.5129, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6245, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9906, scimark_benchmark: 905.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, build_cpu_time: 0.0399, build_memory: 931421834.4, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 48.8963, mean_absolute_error: 0.2545, 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: 0.5107, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.989, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, build_cpu_time: 0.0008, build_memory: 478163901.6, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.0583, mean_absolute_error: 0.3645, 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: 0.7316, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9529, scimark_benchmark: 946.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, build_cpu_time: 0.0346, build_memory: 343887724, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, build_cpu_time: 0.0025, build_memory: 1177863936, f_measure: 0.7561, kappa: 0.5124, kb_relative_information_score: 43.0614, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8814, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, build_cpu_time: 0.0002, build_memory: 344570168, f_measure: 0.6394, kappa: 0.2757, kb_relative_information_score: 27.1866, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5935, root_relative_squared_error: 1.1892, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, build_cpu_time: 0.0063, build_memory: 819361495.2, f_measure: 0.4508, kappa: 0.0898, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7626, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, build_cpu_time: 0.004, build_memory: 1079380083.2, f_measure: 0.6595, kappa: 0.3241, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6674, 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: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, build_cpu_time: 0.0083, build_memory: 115724789.6, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, build_cpu_time: 0.0015, build_memory: 78351763.2, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, 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: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, build_cpu_time: 0.0006, build_memory: 444124637.6, 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: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, build_cpu_time: 0.0005, build_memory: 141669048.8, 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: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, build_cpu_time: 0.0056, build_memory: 1404816112, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 44.1574, mean_absolute_error: 0.2959, 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: 0.5939, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7444, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 0.0066, build_memory: 62325099.2, f_measure: 0.7888, kappa: 0.5759, kb_relative_information_score: 45.5656, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8026, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, build_cpu_time: 0.0003, build_memory: 429985404.8, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, build_cpu_time: 0.0006, build_memory: 631810208, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, build_cpu_time: 0.0006, build_memory: 444049793.6, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, build_cpu_time: 0.0161, build_memory: 57025213.6, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, build_cpu_time: 0.0023, build_memory: 159577408, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, build_cpu_time: 0.0024, build_memory: 488704705.6, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 943.9113,

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