OpenML
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 48 Supervised Classification heart-c 665 runs submitted
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  • basic study_1 study_107 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, build_cpu_time: 0.0042, build_memory: 771757528.3168, f_measure: 0.7461, kappa: 0.4886, kb_relative_information_score: 139.5984, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7464, predictive_accuracy: 0.7459, prior_entropy: 1.0792, recall: 0.7459, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3161, root_relative_squared_error: 1.0034, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, build_cpu_time: 0.0023, build_memory: 896845919.8416, f_measure: 0.7493, kappa: 0.4949, kb_relative_information_score: 139.8933, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7495, predictive_accuracy: 0.7492, prior_entropy: 1.0792, recall: 0.7492, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.9996, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.067, build_memory: 2045953517.0165, f_measure: 0.8212, kappa: 0.639, kb_relative_information_score: 141.177, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8218, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7115, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.0889, build_memory: 1488843916.1452, f_measure: 0.8212, kappa: 0.639, kb_relative_information_score: 141.177, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8218, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7115, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.0537, build_memory: 2472249263.0495, f_measure: 0.8212, kappa: 0.639, kb_relative_information_score: 141.177, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8218, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7115, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.1033, build_memory: 1279753406.3366, f_measure: 0.8212, kappa: 0.639, kb_relative_information_score: 141.177, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8218, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7115, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.0687, build_memory: 1089384333.2805, f_measure: 0.8212, kappa: 0.639, kb_relative_information_score: 141.177, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8218, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7115, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, build_cpu_time: 0.1515, build_memory: 673293926.7855, f_measure: 0.6928, kappa: 0.3801, kb_relative_information_score: 111.7536, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6926, predictive_accuracy: 0.6931, prior_entropy: 1.0792, recall: 0.6931, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3348, root_relative_squared_error: 1.0629, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, build_cpu_time: 0.0807, build_memory: 289630143.4719, f_measure: 0.6928, kappa: 0.3801, kb_relative_information_score: 108.6834, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6926, predictive_accuracy: 0.6931, prior_entropy: 1.0792, recall: 0.6931, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0525, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, build_cpu_time: 0.0273, build_memory: 1606739003.2211, f_measure: 0.7026, kappa: 0.3998, kb_relative_information_score: 110.4462, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7024, predictive_accuracy: 0.703, prior_entropy: 1.0792, recall: 0.703, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.318, root_relative_squared_error: 1.0095, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, build_cpu_time: 0.012, build_memory: 547546762.9835, f_measure: 0.7548, kappa: 0.5047, kb_relative_information_score: 117.1477, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 1.0792, recall: 0.7558, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9479, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, build_cpu_time: 0.0064, build_memory: 1475429166.9439, f_measure: 0.7314, kappa: 0.4575, kb_relative_information_score: 111.5505, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7322, predictive_accuracy: 0.7327, prior_entropy: 1.0792, recall: 0.7327, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9122, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 0.045, build_memory: 1610096540.0924, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 148.0803, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7258, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.0532, build_memory: 977213136, f_measure: 0.8412, kappa: 0.6795, kb_relative_information_score: 151.7834, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8416, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7215, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.0567, build_memory: 977978325.8086, f_measure: 0.8412, kappa: 0.6795, kb_relative_information_score: 151.7834, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8416, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7215, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.0574, build_memory: 908448907.4587, f_measure: 0.8412, kappa: 0.6795, kb_relative_information_score: 151.7834, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8416, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7215, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.0585, build_memory: 1428580137.8218, f_measure: 0.8412, kappa: 0.6795, kb_relative_information_score: 151.7834, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8416, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7215, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, build_cpu_time: 2.5193, build_memory: 125108446.3366, f_measure: 0.7883, kappa: 0.5727, kb_relative_information_score: 155.3865, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7885, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.8478, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, build_cpu_time: 6.3615, build_memory: 286472654.099, f_measure: 0.8017, kappa: 0.5998, kb_relative_information_score: 165.2695, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8017, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.8492, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, build_cpu_time: 11.0181, build_memory: 659243135.3927, f_measure: 0.8012, kappa: 0.5984, kb_relative_information_score: 166.897, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8021, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.8713, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, build_cpu_time: 24.251, build_memory: 725035428.5149, f_measure: 0.7879, kappa: 0.5716, kb_relative_information_score: 165.8704, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7888, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.8897, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, build_cpu_time: 43.1859, build_memory: 46381936.5809, f_measure: 0.7977, kappa: 0.5915, kb_relative_information_score: 171.1382, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.799, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.8777, scimark_benchmark: 941.6106,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, build_cpu_time: 8.1788, build_memory: 496123622.6007, f_measure: 0.7819, kappa: 0.5598, kb_relative_information_score: 159.4514, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9132, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 3.9891, build_memory: 282435428.6997, f_measure: 0.7923, kappa: 0.5821, kb_relative_information_score: 165.163, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.793, predictive_accuracy: 0.7921, prior_entropy: 1.0792, recall: 0.7921, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.874, scimark_benchmark: 923.8078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, build_cpu_time: 1.1813, build_memory: 116852019.0891, f_measure: 0.7983, kappa: 0.5929, kb_relative_information_score: 164.1728, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8725, scimark_benchmark: 937.9603,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, build_cpu_time: 4.5948, build_memory: 649714806.4951, f_measure: 0.7851, kappa: 0.5662, kb_relative_information_score: 164.6671, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7852, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.284, root_relative_squared_error: 0.9016, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, build_cpu_time: 10.7176, build_memory: 312514112.7921, f_measure: 0.7883, kappa: 0.5727, kb_relative_information_score: 164.5707, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7885, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9046, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, build_cpu_time: 0.1287, build_memory: 845151146.6931, f_measure: 0.7813, kappa: 0.5583, kb_relative_information_score: 155.6072, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7821, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.879, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 0.1453, build_memory: 876263692.2244, f_measure: 0.7747, kappa: 0.5449, kb_relative_information_score: 154.4863, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7755, predictive_accuracy: 0.7756, prior_entropy: 1.0792, recall: 0.7756, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.8808, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, build_cpu_time: 0.0059, build_memory: 1451645772.4092, f_measure: 0.7666, kappa: 0.5287, kb_relative_information_score: 128.7305, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.771, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.7884, scimark_benchmark: 785.9104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.0076, build_memory: 910396569.0561, f_measure: 0.8002, kappa: 0.5965, kb_relative_information_score: 124.578, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8042, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.7678, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 0.0131, build_memory: 1316589506.429, f_measure: 0.8039, kappa: 0.6039, kb_relative_information_score: 121.4387, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8066, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7716, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 0.0136, build_memory: 412127567.4191, f_measure: 0.8039, kappa: 0.6039, kb_relative_information_score: 121.4387, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8066, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7716, scimark_benchmark: 938.3567,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, build_cpu_time: 0.1843, build_memory: 693284969.4257, f_measure: 0.818, kappa: 0.6325, kb_relative_information_score: 143.5696, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8184, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.7161, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, build_cpu_time: 0.0952, build_memory: 270741145.3729, f_measure: 0.8343, kappa: 0.6653, kb_relative_information_score: 146.8277, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8355, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7139, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, build_cpu_time: 0.0798, build_memory: 379488287.6304, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 181.3595, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7168, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, build_cpu_time: 0.0828, build_memory: 677667812.7525, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 181.3595, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7168, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 129.9871, build_memory: 1816285622.2838, f_measure: 0.8447, kappa: 0.6867, kb_relative_information_score: 175.4341, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8447, predictive_accuracy: 0.8449, prior_entropy: 1.0792, recall: 0.8449, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.6912, scimark_benchmark: 935.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8349, kappa: 0.6669, kb_relative_information_score: 0.5558, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 1.0084, recall: 0.835, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 273.596, build_memory: 182780647.6304, f_measure: 0.838, kappa: 0.673, kb_relative_information_score: 173.8341, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8382, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6953, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, build_cpu_time: 0.0205, build_memory: 1043954715.2739, f_measure: 0.7951, kappa: 0.5865, kb_relative_information_score: 106.2512, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7951, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.7648, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, build_cpu_time: 0.0138, build_memory: 160051460.3828, f_measure: 0.7849, kappa: 0.5657, kb_relative_information_score: 105.6972, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7852, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.7655, scimark_benchmark: 1024.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, build_cpu_time: 0.0072, build_memory: 46277565.571, f_measure: 0.8046, kappa: 0.6053, kb_relative_information_score: 105.0778, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8053, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7676, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, build_cpu_time: 0.0039, build_memory: 2462610070.5743, f_measure: 0.7685, kappa: 0.5326, kb_relative_information_score: 103.9662, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.7737, scimark_benchmark: 944.3501,

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