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OpenML
Task
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 48 Supervised Classification heart-c 665 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_50 testing_tag under100k under1m
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665 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.812, kappa: 0.6214, kb_relative_information_score: 147.7048, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8123, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7907, scimark_benchmark: 882.7843, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8348, kappa: 0.6665, kb_relative_information_score: 38.0618, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9141, scimark_benchmark: 1363.434, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8402, kappa: 0.6772, kb_relative_information_score: 38.7645, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8449, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.912, scimark_benchmark: 942.2229, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 938.9967, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7563, kappa: 0.5117, kb_relative_information_score: 145.2444, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.76, predictive_accuracy: 0.7558, prior_entropy: 1.0792, recall: 0.7558, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.9922, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8381, kappa: 0.6734, kb_relative_information_score: 176.78, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8381, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7204, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 161.9389, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.7482, scimark_benchmark: 1073.494, usercpu_time_millis: 360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 142.6719, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.7103, scimark_benchmark: 1333.5799, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.7426, kappa: 0.481, kb_relative_information_score: 136.8138, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7426, predictive_accuracy: 0.7426, prior_entropy: 1.0792, recall: 0.7426, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0155, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7669, kappa: 0.5292, kb_relative_information_score: 128.148, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7704, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8455, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7715, kappa: 0.5384, kb_relative_information_score: 123.0999, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8686, scimark_benchmark: 1066.7184, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7847, kappa: 0.5652, kb_relative_information_score: 161.9651, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7853, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.93, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.5863, kappa: 0.2484, kb_relative_information_score: 85.3333, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.774, predictive_accuracy: 0.6502, prior_entropy: 1.0792, recall: 0.6502, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.1876, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8083, kappa: 0.6132, kb_relative_information_score: 166.3871, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8083, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.8371, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8148, kappa: 0.6261, kb_relative_information_score: 178.3837, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.815, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8539, scimark_benchmark: 940.3346, usercpu_time_millis: 18780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 18750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.812, kappa: 0.6211, kb_relative_information_score: 178.695, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8235, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.8632, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7951, kappa: 0.5865, kb_relative_information_score: 148.0247, mean_absolute_error: 0.0998, 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: 0.4979, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8581, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8479, kappa: 0.6928, kb_relative_information_score: 196.9011, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8482, predictive_accuracy: 0.8482, prior_entropy: 1.0792, recall: 0.8482, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.7575, scimark_benchmark: 942.6953, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8412, kappa: 0.6795, kb_relative_information_score: 162.5717, mean_absolute_error: 0.0906, 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: 0.4521, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.7172, scimark_benchmark: 945.6434, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, 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: 911.0478, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, 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: 939.7623, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 187.4756, mean_absolute_error: 0.068, 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: 0.3394, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.7727, scimark_benchmark: 942.1229, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8406, kappa: 0.678, kb_relative_information_score: 190.8436, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8433, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.7604, scimark_benchmark: 926.6717, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8346, kappa: 0.6661, kb_relative_information_score: 187.3469, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8349, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7615, scimark_benchmark: 876.8277, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8211, kappa: 0.6386, kb_relative_information_score: 180.9656, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8221, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.7798, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8234, kappa: 0.6433, kb_relative_information_score: 182.5406, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8284, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7713, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7609, kappa: 0.5169, kb_relative_information_score: 146.3426, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7627, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.894, scimark_benchmark: 924.6116, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7747, kappa: 0.5449, kb_relative_information_score: 152.8645, mean_absolute_error: 0.0932, 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: 0.465, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.84, scimark_benchmark: 902.4773, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8015, kappa: 0.5994, kb_relative_information_score: 160.0551, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8018, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.7848, scimark_benchmark: 932.3943, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7842, kappa: 0.5642, kb_relative_information_score: 156.9182, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.786, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.7934, scimark_benchmark: 940.2922, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8307, kappa: 0.658, kb_relative_information_score: 169.3319, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8329, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7244, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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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,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, build_cpu_time: 66.1407, build_memory: 1643938095.736, f_measure: 0.8183, kappa: 0.6334, kb_relative_information_score: 180.0889, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.8549, scimark_benchmark: 942.0692,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, build_cpu_time: 0.9872, build_memory: 153523262.5743, f_measure: 0.8076, kappa: 0.6113, kb_relative_information_score: 163.3624, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8092, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8392, scimark_benchmark: 937.279,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, build_cpu_time: 2.4949, build_memory: 2524721925.6238, f_measure: 0.7883, kappa: 0.5727, kb_relative_information_score: 164.9311, mean_absolute_error: 0.0837, 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: 0.4177, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8857, scimark_benchmark: 916.8516,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, build_cpu_time: 0.0858, build_memory: 219907779.5908, f_measure: 0.7749, kappa: 0.5454, kb_relative_information_score: 152.6348, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7753, predictive_accuracy: 0.7756, prior_entropy: 1.0792, recall: 0.7756, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.8853, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, build_cpu_time: 0.0627, build_memory: 875636828.6733, f_measure: 0.7717, kappa: 0.539, kb_relative_information_score: 151.9934, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7719, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.8716, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, build_cpu_time: 0.0386, build_memory: 313079827.538, f_measure: 0.8118, kappa: 0.6205, kb_relative_information_score: 174.854, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8118, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8393, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, build_cpu_time: 0.0782, build_memory: 790207487.9208, f_measure: 0.7986, kappa: 0.5939, kb_relative_information_score: 172.1332, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8684, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, build_cpu_time: 0.1603, build_memory: 1185432360.132, f_measure: 0.8015, kappa: 0.5994, kb_relative_information_score: 174.2823, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8018, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.8688, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.3064, build_memory: 142488982.3894, f_measure: 0.8015, kappa: 0.5994, kb_relative_information_score: 169.769, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8018, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8913, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, build_cpu_time: 0.7222, build_memory: 395630165.3597, f_measure: 0.8014, kappa: 0.5989, kb_relative_information_score: 171.5899, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8019, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.8906, scimark_benchmark: 908.2898,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs