OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.8352, kappa: 0.0879, kb_relative_information_score: 84.429, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.863, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9692, scimark_benchmark: 1344.5316, usercpu_time_millis: 3.728, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.895, kappa: 0.4445, kb_relative_information_score: 355.8192, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9103, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7894, scimark_benchmark: 1338.3807, usercpu_time_millis: 12.134, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 12.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.8313, kappa: 0.0695, kb_relative_information_score: -91.804, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8326, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.319, root_relative_squared_error: 0.9743, scimark_benchmark: 1325.9559, usercpu_time_millis: 15.344, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 15.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.895, kappa: 0.4587, kb_relative_information_score: 377.1759, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8975, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8086, scimark_benchmark: 1332.8484, usercpu_time_millis: 3.28, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.8341, kappa: 0.0806, kb_relative_information_score: 77.8398, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8669, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.9739, scimark_benchmark: 1356.6108, usercpu_time_millis: 3.768, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 33.4387, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.9908, scimark_benchmark: 1330.7246, usercpu_time_millis: 4.175, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -67.7177, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9982, scimark_benchmark: 1337.5919, usercpu_time_millis: 12.91, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 12.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 21.3883, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9944, scimark_benchmark: 1328.2164, usercpu_time_millis: 4.101, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8949, kappa: 0.4457, kb_relative_information_score: 366.3678, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7903, scimark_benchmark: 1342.7841, usercpu_time_millis: 50.778, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 50.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 24.3033, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9945, scimark_benchmark: 1336.1533, usercpu_time_millis: 4.229, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8945, kappa: 0.4553, kb_relative_information_score: 373.2326, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8976, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8073, scimark_benchmark: 1322.0907, usercpu_time_millis: 3.511, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8993, kappa: 0.4742, kb_relative_information_score: 374.9372, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9086, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7892, scimark_benchmark: 1342.387, usercpu_time_millis: 4.607, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 4.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 33.473, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.9912, scimark_benchmark: 1320.9158, usercpu_time_millis: 4.41, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -137.9934, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.9911, scimark_benchmark: 1322.3485, usercpu_time_millis: 13.75, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 13.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: 14.8954, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.997, scimark_benchmark: 1346.9121, usercpu_time_millis: 4.987, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 4.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.898, kappa: 0.47, kb_relative_information_score: 427.6793, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9044, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7904, scimark_benchmark: 1352.2059, usercpu_time_millis: 5.134, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 5.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 360.7247, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7919, scimark_benchmark: 1346.7275, usercpu_time_millis: 232.927, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 232.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.8251, kappa: 0.0263, kb_relative_information_score: 21.849, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8454, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9947, scimark_benchmark: 1336.515, usercpu_time_millis: 4.101, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8983, kappa: 0.474, kb_relative_information_score: 375.2507, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9027, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8008, scimark_benchmark: 1351.0261, usercpu_time_millis: 3.077, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.895, kappa: 0.4587, kb_relative_information_score: 374.9576, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8975, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.812, scimark_benchmark: 1326.2818, usercpu_time_millis: 3.712, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8988, kappa: 0.4716, kb_relative_information_score: 380.8214, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7879, scimark_benchmark: 1306.8767, usercpu_time_millis: 4.552, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8973, kappa: 0.4683, kb_relative_information_score: 379.4081, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9018, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8005, scimark_benchmark: 1330.645, usercpu_time_millis: 3.559, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 3.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8963, kappa: 0.4626, kb_relative_information_score: 348.9296, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9009, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.821, scimark_benchmark: 1328.0798, usercpu_time_millis: 4.569, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8965, kappa: 0.4667, kb_relative_information_score: 383.6525, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8994, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8005, scimark_benchmark: 1331.7434, usercpu_time_millis: 3.538, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 3.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 49.9226, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.9814, scimark_benchmark: 1338.8607, usercpu_time_millis: 4.326, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8925, kappa: 0.4438, kb_relative_information_score: 362.2876, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8957, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.8206, scimark_benchmark: 1354.6314, usercpu_time_millis: 3.351, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 3.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8937, kappa: 0.4407, kb_relative_information_score: 357.1394, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9049, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7921, scimark_benchmark: 1327.8779, usercpu_time_millis: 316.605, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 316.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -136.7409, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9919, scimark_benchmark: 1346.0819, usercpu_time_millis: 13.747, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 13.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.8231, kappa: 0.0153, kb_relative_information_score: 26.2284, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8204, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.324, root_relative_squared_error: 0.9897, scimark_benchmark: 1340.29, usercpu_time_millis: 6.022, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 5.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8987, kappa: 0.4773, kb_relative_information_score: 369.4498, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9025, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8011, scimark_benchmark: 1321.9505, usercpu_time_millis: 3.136, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8719, kappa: 0.3267, kb_relative_information_score: 267.8618, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8735, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8522, scimark_benchmark: 1306.821, usercpu_time_millis: 6.333, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 6.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -118.7514, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9955, scimark_benchmark: 1323.8637, usercpu_time_millis: 13.114, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 12.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8568, kappa: 0.2402, kb_relative_information_score: 110.4175, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8546, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9078, scimark_benchmark: 1323.9002, usercpu_time_millis: 10.914, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 10.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: 28.1503, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.992, scimark_benchmark: 1339.4715, usercpu_time_millis: 4.622, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 4.539,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.8679, kappa: 0.2848, kb_relative_information_score: 289.1144, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.891, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8866, scimark_benchmark: 1275.9257, usercpu_time_millis: 3.925, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 3.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8367, kappa: 0.0969, kb_relative_information_score: 86.6084, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8658, predictive_accuracy: 0.8827, prior_entropy: 0.5368, recall: 0.8827, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.9679, scimark_benchmark: 1306.102, usercpu_time_millis: 3.779, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 67.3763, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9752, scimark_benchmark: 1283.9883, usercpu_time_millis: 3.936, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4754, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -3.2217, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0043, scimark_benchmark: 1306.7666, usercpu_time_millis: 4.238, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8991, kappa: 0.4699, kb_relative_information_score: 378.7312, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9112, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7839, scimark_benchmark: 1297.4721, usercpu_time_millis: 8.863, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 8.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -54.5149, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9962, scimark_benchmark: 1291.215, usercpu_time_millis: 9.326, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 8.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8709, kappa: 0.3017, kb_relative_information_score: 282.8189, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.8869, scimark_benchmark: 1277.7619, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8899, kappa: 0.4298, kb_relative_information_score: 336.4956, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.273, root_relative_squared_error: 0.8339, scimark_benchmark: 1277.6708, usercpu_time_millis: 3.245, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 3.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8267, kappa: 0.0393, kb_relative_information_score: 26.3102, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8284, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9591, scimark_benchmark: 1270.3607, usercpu_time_millis: 8.56, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 8.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8334, kappa: 0.0839, kb_relative_information_score: -52.3561, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8341, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9703, scimark_benchmark: 1307.2938, usercpu_time_millis: 14.552, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 14.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: -116.0908, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9882, scimark_benchmark: 1310.1251, usercpu_time_millis: 15.879, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 15.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.8258, kappa: 0.0292, kb_relative_information_score: 38.4456, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8944, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.9832, scimark_benchmark: 1301.8276, usercpu_time_millis: 4.665, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 4.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 27.2455, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.993, scimark_benchmark: 1275.7656, usercpu_time_millis: 4.13, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -62.6835, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9985, scimark_benchmark: 1305.5677, usercpu_time_millis: 12.237, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 12.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -114.4048, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9959, scimark_benchmark: 1304.7881, usercpu_time_millis: 13.159, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 12.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: 1.0733, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.997, scimark_benchmark: 1302.6397, usercpu_time_millis: 6.59, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 6.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -134.0427, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.993, scimark_benchmark: 1289.092, usercpu_time_millis: 13.993, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 13.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8501, kappa: 0.1785, kb_relative_information_score: 225.951, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8766, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9038, scimark_benchmark: 1305.9241, usercpu_time_millis: 4.772, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 358.2477, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7921, scimark_benchmark: 1310.2419, usercpu_time_millis: 232.333, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 232.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: 7.4983, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003, scimark_benchmark: 1304.7427, usercpu_time_millis: 5.082, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8954, kappa: 0.4669, kb_relative_information_score: 374.9753, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.8146, scimark_benchmark: 1284.6528, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.8313, kappa: 0.0695, kb_relative_information_score: -89.7106, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8326, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.9772, scimark_benchmark: 1286.7109, usercpu_time_millis: 15.179, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 14.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8445, kappa: 0.1422, kb_relative_information_score: 158.027, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8819, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9168, scimark_benchmark: 1283.6307, usercpu_time_millis: 5.923, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 5.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8925, kappa: 0.4438, kb_relative_information_score: 374.661, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8957, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.807, scimark_benchmark: 1307.7106, usercpu_time_millis: 3.32, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 2.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8975, kappa: 0.4771, kb_relative_information_score: 370.9502, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8982, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8186, scimark_benchmark: 1287.5499, usercpu_time_millis: 3.582, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 3.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8886, kappa: 0.4176, kb_relative_information_score: 310.348, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8946, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.8524, scimark_benchmark: 1300.7729, usercpu_time_millis: 4.177, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.8672, kappa: 0.3083, kb_relative_information_score: 0.3159, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8643, predictive_accuracy: 0.8861, prior_entropy: 0.5353, recall: 0.8861, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3374, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.854, kappa: 0.2193, kb_relative_information_score: 0.2912, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8534, predictive_accuracy: 0.882, prior_entropy: 0.5353, recall: 0.882, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.0491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.8409, kappa: 0.1197, kb_relative_information_score: 0.3159, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.891, predictive_accuracy: 0.8861, prior_entropy: 0.5353, recall: 0.8861, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3374, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.8988, kappa: 0.4716, kb_relative_information_score: 0.4807, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.9136, prior_entropy: 0.5353, recall: 0.9136, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.8961, kappa: 0.4573, kb_relative_information_score: 0.4684, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9042, predictive_accuracy: 0.9115, prior_entropy: 0.5353, recall: 0.9115, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.8819, kappa: 0.4087, kb_relative_information_score: 0.3488, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8779, predictive_accuracy: 0.8916, prior_entropy: 0.5353, recall: 0.8916, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3292, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.8559, kappa: 0.2318, kb_relative_information_score: 0.2953, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8552, predictive_accuracy: 0.8827, prior_entropy: 0.5353, recall: 0.8827, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.8586, kappa: 0.3277, kb_relative_information_score: 0.1675, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8561, predictive_accuracy: 0.8615, prior_entropy: 0.5353, recall: 0.8615, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.1369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.8961, kappa: 0.4635, kb_relative_information_score: 0.456, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9095, prior_entropy: 0.5353, recall: 0.9095, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9191,

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