OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 1294.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.3061, kappa: 0.0254, kb_relative_information_score: -213.1689, mean_absolute_error: 0.6774, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7163, predictive_accuracy: 0.3226, prior_entropy: 0.7418, recall: 0.3226, relative_absolute_error: 2.0537, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.8231, root_relative_squared_error: 2.0334, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.8254, kappa: 0.436, kb_relative_information_score: 48.1609, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8246, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.9226, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 45.2509, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1048, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8341, kappa: 0.4996, kb_relative_information_score: 60.2973, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0093, scimark_benchmark: 942.1229, usercpu_time_millis: 6060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.7649, kappa: 0.2178, kb_relative_information_score: 45.2509, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.765, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1048, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 14.6616, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0785, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8412, kappa: 0.5045, kb_relative_information_score: 68.5203, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8388, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.949, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 56.011, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9634, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 939.7623, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 61.7452, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9824, scimark_benchmark: 942.1229, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8335, kappa: 0.4776, kb_relative_information_score: 61.2806, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8305, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9705, scimark_benchmark: 926.6717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 41.9528, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.0678, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7957, kappa: 0.3491, kb_relative_information_score: 46.4298, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7903, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.0434, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7597, kappa: 0.2308, kb_relative_information_score: 31.9487, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7511, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0907, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8256, kappa: 0.4499, kb_relative_information_score: 59.9342, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8222, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.9466, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.828, kappa: 0.4632, kb_relative_information_score: 61.2958, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8252, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9114, scimark_benchmark: 902.4773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 55.8803, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9213, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.8357, kappa: 0.4901, kb_relative_information_score: 50.7768, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8335, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9191, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8302, kappa: 0.4759, kb_relative_information_score: 48.5603, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8285, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9053, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.5861, kappa: 0.1749, kb_relative_information_score: -42.8087, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.5484, prior_entropy: 0.7418, recall: 0.5484, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1123, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8172, kappa: 0.4356, kb_relative_information_score: 49.2293, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8153, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9528, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8093, kappa: 0.3925, kb_relative_information_score: 38.2149, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8049, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8597, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 37.429, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9106, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 14.6616, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0785, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: -0.9182, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8694, scimark_benchmark: 929.566, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.8009, kappa: 0.3627, kb_relative_information_score: 29.1105, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.796, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.8854, scimark_benchmark: 936.6206, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 70.2336, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.96, scimark_benchmark: 945.3151, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.8248, kappa: 0.4622, kb_relative_information_score: 58.8591, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8238, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.026, scimark_benchmark: 911.3823, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.8302, kappa: 0.4759, kb_relative_information_score: 62.8846, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8285, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4058, root_relative_squared_error: 1.0025, scimark_benchmark: 1008.8198, usercpu_time_millis: 480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.8335, kappa: 0.4776, kb_relative_information_score: 63.8943, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8305, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9693, scimark_benchmark: 891.2195, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 57.4128, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9987, scimark_benchmark: 917.1386, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 0.1553, build_memory: 1249644360.5161, f_measure: 0.777, kappa: 0.293, kb_relative_information_score: 39.0418, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7706, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.09, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, build_cpu_time: 0.2766, build_memory: 1072258366.6581, f_measure: 0.8202, kappa: 0.4358, kb_relative_information_score: 57.5927, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8167, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9986, scimark_benchmark: 919.5971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 1.069, build_memory: 57575086.3484, f_measure: 0.8378, kappa: 0.502, kb_relative_information_score: 65.1039, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8369, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9809, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, build_cpu_time: 1.7137, build_memory: 391378646.1935, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: 66.8494, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9802, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, build_cpu_time: 0.0791, build_memory: 1098952133.8323, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 44.7437, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0799, scimark_benchmark: 920.7965,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, build_cpu_time: 0.0279, build_memory: 1239030045.8323, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 57.6086, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9775, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, build_cpu_time: 0.0204, build_memory: 476045990.4516, f_measure: 0.8378, kappa: 0.502, kb_relative_information_score: 63.1867, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8369, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9503, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.0428, build_memory: 202903411.2, f_measure: 0.8433, kappa: 0.5163, kb_relative_information_score: 68.1362, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8418, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9489, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, build_cpu_time: 0.083, build_memory: 487529829.0065, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 70.2336, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.96, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, build_cpu_time: 0.1574, build_memory: 44121708.0774, f_measure: 0.8248, kappa: 0.4622, kb_relative_information_score: 58.8591, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8238, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.026, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, build_cpu_time: 0.3177, build_memory: 956668814.8645, f_measure: 0.8302, kappa: 0.4759, kb_relative_information_score: 62.8846, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8285, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4058, root_relative_squared_error: 1.0025, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, build_cpu_time: 0.0213, build_memory: 97523084.8516, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, build_cpu_time: 0.0154, build_memory: 116628700.6452, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, build_cpu_time: 0.0165, build_memory: 855549575.7419, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, build_cpu_time: 0.0446, build_memory: 173906471.1742, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 58.6707, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9272, scimark_benchmark: 937.279,

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