OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 1934 Supervised Classification hepatitis 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7738, kappa: 0.2631, kb_relative_information_score: 203.4491, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7672, predictive_accuracy: 0.7948, prior_entropy: 0.7418, recall: 0.7948, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0085, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1341.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1397.3209,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8107, kappa: 0.4197, kb_relative_information_score: 464.6014, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8099, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9488, scimark_benchmark: 1397.3209, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8615, kappa: 0.5781, kb_relative_information_score: 644.353, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8618, predictive_accuracy: 0.8613, prior_entropy: 0.7418, recall: 0.8613, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8275, scimark_benchmark: 1370.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, 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: 1375.1578, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 1281.7531, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8526, kappa: 0.5357, kb_relative_information_score: 598.0678, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8505, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8145, scimark_benchmark: 1264.9916, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8439, kappa: 0.539, kb_relative_information_score: 596.6622, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8508, predictive_accuracy: 0.8394, prior_entropy: 0.7418, recall: 0.8394, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9146, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8107, kappa: 0.4197, kb_relative_information_score: 464.6014, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8099, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9488, scimark_benchmark: 1260.1387, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7287, kappa: 0.1047, kb_relative_information_score: 41.0473, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.713, predictive_accuracy: 0.7619, prior_entropy: 0.7418, recall: 0.7619, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9876, scimark_benchmark: 1352.2099, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8185, kappa: 0.4397, kb_relative_information_score: 562.1045, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8166, predictive_accuracy: 0.8206, prior_entropy: 0.7418, recall: 0.8206, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9765, scimark_benchmark: 1064.8317, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7948, kappa: 0.3545, kb_relative_information_score: 385.1134, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7901, predictive_accuracy: 0.8019, prior_entropy: 0.7418, recall: 0.8019, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.0109, scimark_benchmark: 1288.1375, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7576, kappa: 0.2591, kb_relative_information_score: 172.9861, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7572, predictive_accuracy: 0.7581, prior_entropy: 0.7418, recall: 0.7581, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0372, scimark_benchmark: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7576, kappa: 0.2591, kb_relative_information_score: 172.9861, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7572, predictive_accuracy: 0.7581, prior_entropy: 0.7418, recall: 0.7581, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0372, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7538, kappa: 0.1698, kb_relative_information_score: 227.6408, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8023, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.8831, scimark_benchmark: 909.1698, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7591, kappa: 0.1878, kb_relative_information_score: 223.6138, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8032, predictive_accuracy: 0.8135, prior_entropy: 0.7418, recall: 0.8135, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8844, scimark_benchmark: 1347.5461, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7576, kappa: 0.2591, kb_relative_information_score: 172.9861, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7572, predictive_accuracy: 0.7581, prior_entropy: 0.7418, recall: 0.7581, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0372, scimark_benchmark: 916.5769, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.753, kappa: 0.167, kb_relative_information_score: 225.8494, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.804, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.8836, scimark_benchmark: 1331.2332, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8439, kappa: 0.539, kb_relative_information_score: 596.6622, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8508, predictive_accuracy: 0.8394, prior_entropy: 0.7418, recall: 0.8394, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9146, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7738, kappa: 0.2631, kb_relative_information_score: 203.4491, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7672, predictive_accuracy: 0.7948, prior_entropy: 0.7418, recall: 0.7948, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0085, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.8006, kappa: 0.3893, kb_relative_information_score: 459.4932, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7999, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4458, root_relative_squared_error: 1.1013, scimark_benchmark: 934.4732, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8394, kappa: 0.4957, kb_relative_information_score: 567.7691, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8366, predictive_accuracy: 0.8445, prior_entropy: 0.7418, recall: 0.8445, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8784, scimark_benchmark: 1337.6765, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.8063, kappa: 0.391, kb_relative_information_score: 508.9728, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8021, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.0612, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.821, kappa: 0.416, kb_relative_information_score: 658.5463, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8231, predictive_accuracy: 0.8381, prior_entropy: 0.7418, recall: 0.8381, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9942, scimark_benchmark: 1298.4923, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.7238, kappa: 0.07, kb_relative_information_score: 17.0037, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7147, predictive_accuracy: 0.7819, prior_entropy: 0.7418, recall: 0.7819, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.0247, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.766, kappa: 0.2523, kb_relative_information_score: 205.1785, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.758, predictive_accuracy: 0.7794, prior_entropy: 0.7418, recall: 0.7794, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.025, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7885, kappa: 0.3011, kb_relative_information_score: 249.7947, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.791, predictive_accuracy: 0.8155, prior_entropy: 0.7418, recall: 0.8155, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8795, scimark_benchmark: 1322.4054, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, 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: 1248.0234, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1182.772,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.8584, kappa: 0.5631, kb_relative_information_score: 777.2798, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8571, predictive_accuracy: 0.86, prior_entropy: 0.7418, recall: 0.86, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9244, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8332, kappa: 0.4703, kb_relative_information_score: 499.4091, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8305, predictive_accuracy: 0.8413, prior_entropy: 0.7418, recall: 0.8413, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.862, scimark_benchmark: 912.5006, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.8006, kappa: 0.3893, kb_relative_information_score: 459.4932, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7999, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4458, root_relative_squared_error: 1.1013, scimark_benchmark: 1315.395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8526, kappa: 0.5357, kb_relative_information_score: 598.0678, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8505, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8145, scimark_benchmark: 1363.434, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8107, kappa: 0.4197, kb_relative_information_score: 464.6014, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8099, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9488, scimark_benchmark: 1304.6687, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 1315.0767, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.7738, kappa: 0.2861, kb_relative_information_score: 337.0098, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7677, predictive_accuracy: 0.7826, prior_entropy: 0.7418, recall: 0.7826, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4357, root_relative_squared_error: 1.0763, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.7628, kappa: 0.2094, kb_relative_information_score: 165.4897, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7633, predictive_accuracy: 0.7994, prior_entropy: 0.7418, recall: 0.7994, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.979, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.7401, kappa: 0.1398, kb_relative_information_score: 79.6067, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7281, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.053, scimark_benchmark: 825.5282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.8167, kappa: 0.4108, kb_relative_information_score: 609.6561, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8138, predictive_accuracy: 0.829, prior_entropy: 0.7418, recall: 0.829, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.0215, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.3058, kappa: 0.0174, kb_relative_information_score: -2145.6579, mean_absolute_error: 0.68, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7015, predictive_accuracy: 0.32, prior_entropy: 0.7418, recall: 0.32, relative_absolute_error: 2.0615, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.8246, root_relative_squared_error: 2.0372, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8071, kappa: 0.3938, kb_relative_information_score: 393.9173, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.803, predictive_accuracy: 0.8135, prior_entropy: 0.7418, recall: 0.8135, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9619, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.784, kappa: 0.3054, kb_relative_information_score: 445.5246, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7776, predictive_accuracy: 0.7987, prior_entropy: 0.7418, recall: 0.7987, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4487, root_relative_squared_error: 1.1084, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.7667, kappa: 0.2407, kb_relative_information_score: 386.1579, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7586, predictive_accuracy: 0.7877, prior_entropy: 0.7418, recall: 0.7877, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.1382, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -9.8015, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, 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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7732, kappa: 0.276, kb_relative_information_score: 240.8762, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7659, predictive_accuracy: 0.7858, prior_entropy: 0.7418, recall: 0.7858, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.0347, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, build_cpu_time: 0.7828, build_memory: 1069732582.7819, f_measure: 0.8343, kappa: 0.487, kb_relative_information_score: 651.4324, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8323, predictive_accuracy: 0.8368, prior_entropy: 0.7418, recall: 0.8368, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9958, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.442, build_memory: 811894575.4168, f_measure: 0.8352, kappa: 0.4886, kb_relative_information_score: 657.9478, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.833, predictive_accuracy: 0.8381, prior_entropy: 0.7418, recall: 0.8381, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9873, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, build_cpu_time: 0.1992, build_memory: 1452708105.1923, f_measure: 0.8267, kappa: 0.4591, kb_relative_information_score: 626.2264, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8238, predictive_accuracy: 0.831, prior_entropy: 0.7418, recall: 0.831, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.9997, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, build_cpu_time: 0.2059, build_memory: 1070736450.4258, f_measure: 0.8267, kappa: 0.4591, kb_relative_information_score: 626.2264, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8238, predictive_accuracy: 0.831, prior_entropy: 0.7418, recall: 0.831, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.9997, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, build_cpu_time: 0.0951, build_memory: 1167609327.7884, f_measure: 0.8189, kappa: 0.4302, kb_relative_information_score: 591.0867, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8152, predictive_accuracy: 0.8252, prior_entropy: 0.7418, recall: 0.8252, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0154, scimark_benchmark: 945.6653,

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