OpenML
Supervised Classification on scene

Supervised Classification on scene

Task 3485 Supervised Classification scene 87577 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8597, kappa: 0.4723, kb_relative_information_score: 697.2929, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8889, predictive_accuracy: 0.882, prior_entropy: 0.6786, recall: 0.882, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.7556, scimark_benchmark: 1311.044, usercpu_time_millis: 186.4, usercpu_time_millis_testing: 6.919, usercpu_time_millis_training: 179.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8876, kappa: 0.5824, kb_relative_information_score: 822.2264, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9085, predictive_accuracy: 0.902, prior_entropy: 0.6786, recall: 0.902, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.7183, scimark_benchmark: 1315.7867, usercpu_time_millis: 70.427, usercpu_time_millis_testing: 2.302, usercpu_time_millis_training: 68.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8434, kappa: 0.4065, kb_relative_information_score: 649.7174, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.882, predictive_accuracy: 0.872, prior_entropy: 0.6786, recall: 0.872, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.296, root_relative_squared_error: 0.7719, scimark_benchmark: 1307.4197, usercpu_time_millis: 165.338, usercpu_time_millis_testing: 5.202, usercpu_time_millis_training: 160.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.7586, kappa: 0.0704, kb_relative_information_score: 427.3297, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8584, predictive_accuracy: 0.8288, prior_entropy: 0.6786, recall: 0.8288, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8322, scimark_benchmark: 1288.002, usercpu_time_millis: 34.415, usercpu_time_millis_testing: 1.95, usercpu_time_millis_training: 32.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.7657, kappa: 0.0979, kb_relative_information_score: 413.3724, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8542, predictive_accuracy: 0.8317, prior_entropy: 0.6786, recall: 0.8317, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8332, scimark_benchmark: 1308.9663, usercpu_time_millis: 83.377, usercpu_time_millis_testing: 4.847, usercpu_time_millis_training: 78.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 374.2336, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.8519, scimark_benchmark: 1313.7391, usercpu_time_millis: 95.034, usercpu_time_millis_testing: 6.33, usercpu_time_millis_training: 88.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8513, kappa: 0.4378, kb_relative_information_score: 658.1808, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8886, predictive_accuracy: 0.8774, prior_entropy: 0.6786, recall: 0.8774, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.7687, scimark_benchmark: 1291.6771, usercpu_time_millis: 213.928, usercpu_time_millis_testing: 5.501, usercpu_time_millis_training: 208.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8443, kappa: 0.4106, kb_relative_information_score: 633.1312, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8815, predictive_accuracy: 0.8725, prior_entropy: 0.6786, recall: 0.8725, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.7758, scimark_benchmark: 1322.3677, usercpu_time_millis: 45.044, usercpu_time_millis_testing: 2.626, usercpu_time_millis_training: 42.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.7402, kb_relative_information_score: 208.7089, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8901, scimark_benchmark: 1318.4477, usercpu_time_millis: 37.32, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 35.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8771, kappa: 0.5403, kb_relative_information_score: 744.1428, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9041, predictive_accuracy: 0.8949, prior_entropy: 0.6786, recall: 0.8949, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.7393, scimark_benchmark: 1267.2467, usercpu_time_millis: 224.307, usercpu_time_millis_testing: 4.612, usercpu_time_millis_training: 219.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8877, kappa: 0.5834, kb_relative_information_score: 815.6628, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.908, predictive_accuracy: 0.902, prior_entropy: 0.6786, recall: 0.902, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.721, scimark_benchmark: 1318.5733, usercpu_time_millis: 411.947, usercpu_time_millis_testing: 8.911, usercpu_time_millis_training: 403.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.7402, kb_relative_information_score: 132.8438, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.9126, scimark_benchmark: 1323.3324, usercpu_time_millis: 16.037, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 14.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8915, kappa: 0.598, kb_relative_information_score: 834.6796, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.911, predictive_accuracy: 0.9049, prior_entropy: 0.6786, recall: 0.9049, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.714, scimark_benchmark: 1313.4281, usercpu_time_millis: 447.647, usercpu_time_millis_testing: 9.143, usercpu_time_millis_training: 438.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8754, kappa: 0.535, kb_relative_information_score: 740.5711, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8988, predictive_accuracy: 0.8928, prior_entropy: 0.6786, recall: 0.8928, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.7397, scimark_benchmark: 1322.4018, usercpu_time_millis: 274.945, usercpu_time_millis_testing: 8.771, usercpu_time_millis_training: 266.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.7402, kb_relative_information_score: 140.7995, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.9133, scimark_benchmark: 1293.3491, usercpu_time_millis: 40.4, usercpu_time_millis_testing: 3.629, usercpu_time_millis_training: 36.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7481, kappa: 0.0301, kb_relative_information_score: 346.9505, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8552, predictive_accuracy: 0.8243, prior_entropy: 0.6786, recall: 0.8243, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.8506, scimark_benchmark: 1279.3901, usercpu_time_millis: 11.213, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 10.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8554, kappa: 0.4547, kb_relative_information_score: 639.0469, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.888, predictive_accuracy: 0.8795, prior_entropy: 0.6786, recall: 0.8795, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.7654, scimark_benchmark: 1321.9016, usercpu_time_millis: 262.304, usercpu_time_millis_testing: 10.638, usercpu_time_millis_training: 251.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8649, kappa: 0.4921, kb_relative_information_score: 694.5295, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8953, predictive_accuracy: 0.8862, prior_entropy: 0.6786, recall: 0.8862, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7531, scimark_benchmark: 1291.2357, usercpu_time_millis: 39.094, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 37.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8171, kappa: 0.3015, kb_relative_information_score: 511.097, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8685, predictive_accuracy: 0.8567, prior_entropy: 0.6786, recall: 0.8567, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.8009, scimark_benchmark: 1291.9156, usercpu_time_millis: 148.919, usercpu_time_millis_testing: 8.942, usercpu_time_millis_training: 139.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8164, kappa: 0.2985, kb_relative_information_score: 533.0757, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8681, predictive_accuracy: 0.8563, prior_entropy: 0.6786, recall: 0.8563, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.7958, scimark_benchmark: 1308.1971, usercpu_time_millis: 164.98, usercpu_time_millis_testing: 8.634, usercpu_time_millis_training: 156.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.7402, kb_relative_information_score: 135.2548, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.9117, scimark_benchmark: 1300.6649, usercpu_time_millis: 27.793, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 25.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8479, kappa: 0.4252, kb_relative_information_score: 609.4771, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8826, predictive_accuracy: 0.8745, prior_entropy: 0.6786, recall: 0.8745, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.7734, scimark_benchmark: 1315.4728, usercpu_time_millis: 121.514, usercpu_time_millis_testing: 4.893, usercpu_time_millis_training: 116.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8787, kappa: 0.5471, kb_relative_information_score: 732.7131, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9036, predictive_accuracy: 0.8957, prior_entropy: 0.6786, recall: 0.8957, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7394, scimark_benchmark: 1296.2278, usercpu_time_millis: 333.455, usercpu_time_millis_testing: 7.587, usercpu_time_millis_training: 325.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.7402, kb_relative_information_score: 315.2582, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.8656, scimark_benchmark: 1312.3615, usercpu_time_millis: 66.569, usercpu_time_millis_testing: 4.777, usercpu_time_millis_training: 61.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7539, kappa: 0.0522, kb_relative_information_score: 392.5782, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8569, predictive_accuracy: 0.8268, prior_entropy: 0.6786, recall: 0.8268, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8418, scimark_benchmark: 1316.8792, usercpu_time_millis: 42.809, usercpu_time_millis_testing: 2.847, usercpu_time_millis_training: 39.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.7722, kappa: 0.1233, kb_relative_information_score: 434.9932, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8627, predictive_accuracy: 0.8351, prior_entropy: 0.6786, recall: 0.8351, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.828, scimark_benchmark: 1291.8884, usercpu_time_millis: 109.681, usercpu_time_millis_testing: 4.56, usercpu_time_millis_training: 105.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8535, kappa: 0.4469, kb_relative_information_score: 633.4458, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8888, predictive_accuracy: 0.8787, prior_entropy: 0.6786, recall: 0.8787, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.7675, scimark_benchmark: 1313.6152, usercpu_time_millis: 116.223, usercpu_time_millis_testing: 4.474, usercpu_time_millis_training: 111.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8383, kappa: 0.3858, kb_relative_information_score: 582.6515, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8827, predictive_accuracy: 0.8695, prior_entropy: 0.6786, recall: 0.8695, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.302, root_relative_squared_error: 0.7876, scimark_benchmark: 1304.1638, usercpu_time_millis: 129.537, usercpu_time_millis_testing: 4.938, usercpu_time_millis_training: 124.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8437, kappa: 0.4079, kb_relative_information_score: 628.6055, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8811, predictive_accuracy: 0.872, prior_entropy: 0.6786, recall: 0.872, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7755, scimark_benchmark: 1319.3939, usercpu_time_millis: 82.43, usercpu_time_millis_testing: 3.403, usercpu_time_millis_training: 79.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8703, kappa: 0.514, kb_relative_information_score: 701.1333, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8986, predictive_accuracy: 0.8899, prior_entropy: 0.6786, recall: 0.8899, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.7489, scimark_benchmark: 1299.9106, usercpu_time_millis: 142.89, usercpu_time_millis_testing: 3.986, usercpu_time_millis_training: 138.904,
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: 0.9139, f_measure: 0.8261, kappa: 0.3373, kb_relative_information_score: 491.0345, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.875, predictive_accuracy: 0.8621, prior_entropy: 0.6786, recall: 0.8621, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8039, scimark_benchmark: 1313.062, usercpu_time_millis: 25.139, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 23.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7432, kappa: 0.0114, kb_relative_information_score: 346.8646, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8538, predictive_accuracy: 0.8222, prior_entropy: 0.6786, recall: 0.8222, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.8511, scimark_benchmark: 1294.425, usercpu_time_millis: 45.81, usercpu_time_millis_testing: 3.126, usercpu_time_millis_training: 42.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.7402, kb_relative_information_score: 300.5425, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.8631, scimark_benchmark: 1315.1991, usercpu_time_millis: 63.649, usercpu_time_millis_testing: 3.492, usercpu_time_millis_training: 60.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8683, kappa: 0.5066, kb_relative_information_score: 686.4515, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8942, predictive_accuracy: 0.8878, prior_entropy: 0.6786, recall: 0.8878, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.7533, scimark_benchmark: 1305.2916, usercpu_time_millis: 75.063, usercpu_time_millis_testing: 3.063, usercpu_time_millis_training: 72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8887, kappa: 0.5869, kb_relative_information_score: 802.4545, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9092, predictive_accuracy: 0.9028, prior_entropy: 0.6786, recall: 0.9028, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.7237, scimark_benchmark: 1302.817, usercpu_time_millis: 68.682, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 66.101,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8678, kappa: 0.5063, kb_relative_information_score: 744.4142, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8898, predictive_accuracy: 0.8866, prior_entropy: 0.6786, recall: 0.8866, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.7501, scimark_benchmark: 1300.8549, usercpu_time_millis: 11.082, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 9.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8124, kappa: 0.2827, kb_relative_information_score: 461.1199, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8641, predictive_accuracy: 0.8538, prior_entropy: 0.6786, recall: 0.8538, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8115, scimark_benchmark: 1317.51, usercpu_time_millis: 13.769, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 12.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7402, kb_relative_information_score: 157.7957, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9063, scimark_benchmark: 1310.4212, usercpu_time_millis: 9.582, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 8.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8484, kappa: 0.426, kb_relative_information_score: 637.2301, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8881, predictive_accuracy: 0.8758, prior_entropy: 0.6786, recall: 0.8758, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.7732, scimark_benchmark: 1309.1037, usercpu_time_millis: 238.14, usercpu_time_millis_testing: 6.544, usercpu_time_millis_training: 231.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.7874, kappa: 0.1828, kb_relative_information_score: 489.1718, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8644, predictive_accuracy: 0.8421, prior_entropy: 0.6786, recall: 0.8421, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.8155, scimark_benchmark: 1306.7422, usercpu_time_millis: 116.376, usercpu_time_millis_testing: 5.406, usercpu_time_millis_training: 110.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.7402, kb_relative_information_score: 50.2696, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9635, scimark_benchmark: 1295.1798, usercpu_time_millis: 24.725, usercpu_time_millis_testing: 3.153, usercpu_time_millis_training: 21.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8528, kappa: 0.4445, kb_relative_information_score: 641.2995, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8865, predictive_accuracy: 0.8779, prior_entropy: 0.6786, recall: 0.8779, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.7702, scimark_benchmark: 1275.25, usercpu_time_millis: 30.391, usercpu_time_millis_testing: 1.703, usercpu_time_millis_training: 28.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8427, kappa: 0.4038, kb_relative_information_score: 622.9023, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8816, predictive_accuracy: 0.8716, prior_entropy: 0.6786, recall: 0.8716, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.7786, scimark_benchmark: 1317.2285, usercpu_time_millis: 128.45, usercpu_time_millis_testing: 4.39, usercpu_time_millis_training: 124.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.7402, kb_relative_information_score: 292.178, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.865, scimark_benchmark: 1312.1066, usercpu_time_millis: 87.426, usercpu_time_millis_testing: 4.581, usercpu_time_millis_training: 82.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.7402, kb_relative_information_score: 50.8875, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9463, scimark_benchmark: 1312.1812, usercpu_time_millis: 24.151, usercpu_time_millis_testing: 2.153, usercpu_time_millis_training: 21.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8635, kappa: 0.4872, kb_relative_information_score: 665.5139, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8929, predictive_accuracy: 0.8849, prior_entropy: 0.6786, recall: 0.8849, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.7627, scimark_benchmark: 1316.262, usercpu_time_millis: 25.773, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 24.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.7843, kappa: 0.1709, kb_relative_information_score: 500.359, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8565, predictive_accuracy: 0.8401, prior_entropy: 0.6786, recall: 0.8401, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.8144, scimark_benchmark: 1298.6765, usercpu_time_millis: 174.798, usercpu_time_millis_testing: 10.232, usercpu_time_millis_training: 164.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8592, kappa: 0.4697, kb_relative_information_score: 701.3862, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8921, predictive_accuracy: 0.8824, prior_entropy: 0.6786, recall: 0.8824, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.29, root_relative_squared_error: 0.7563, scimark_benchmark: 1303.6443, usercpu_time_millis: 133.628, usercpu_time_millis_testing: 2.878, usercpu_time_millis_training: 130.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.7966, kappa: 0.2194, kb_relative_information_score: 494.8956, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8632, predictive_accuracy: 0.8463, prior_entropy: 0.6786, recall: 0.8463, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.311, root_relative_squared_error: 0.811, scimark_benchmark: 1297.2197, usercpu_time_millis: 31.484, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 29.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8837, kappa: 0.5676, kb_relative_information_score: 791.4898, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9054, predictive_accuracy: 0.899, prior_entropy: 0.6786, recall: 0.899, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.7287, scimark_benchmark: 1289.9585, usercpu_time_millis: 56.543, usercpu_time_millis_testing: 2.077, usercpu_time_millis_training: 54.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7402, kb_relative_information_score: 174.0426, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8997, scimark_benchmark: 1299.8839, usercpu_time_millis: 15.033, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 13.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8332, kappa: 0.3658, kb_relative_information_score: 571.9707, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8762, predictive_accuracy: 0.8658, prior_entropy: 0.6786, recall: 0.8658, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.7838, scimark_benchmark: 1294.9021, usercpu_time_millis: 221.056, usercpu_time_millis_testing: 10.559, usercpu_time_millis_training: 210.497,
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: 0.9431, f_measure: 0.8803, kappa: 0.5538, kb_relative_information_score: 764.0554, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9032, predictive_accuracy: 0.8966, prior_entropy: 0.6786, recall: 0.8966, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.7334, scimark_benchmark: 1316.4954, usercpu_time_millis: 347.638, usercpu_time_millis_testing: 11.226, usercpu_time_millis_training: 336.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.7402, kb_relative_information_score: 0.9186, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1313.3888, usercpu_time_millis: 21.712, usercpu_time_millis_testing: 2.54, usercpu_time_millis_training: 19.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.865, kappa: 0.4933, kb_relative_information_score: 662.4701, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8929, predictive_accuracy: 0.8858, prior_entropy: 0.6786, recall: 0.8858, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.7583, scimark_benchmark: 1294.8151, usercpu_time_millis: 103.462, usercpu_time_millis_testing: 3.544, usercpu_time_millis_training: 99.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.839, kappa: 0.3885, kb_relative_information_score: 577.8119, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8831, predictive_accuracy: 0.87, prior_entropy: 0.6786, recall: 0.87, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.7866, scimark_benchmark: 1326.833, usercpu_time_millis: 119.159, usercpu_time_millis_testing: 5.353, usercpu_time_millis_training: 113.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.7529, kappa: 0.0486, kb_relative_information_score: 411.7603, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8567, predictive_accuracy: 0.8263, prior_entropy: 0.6786, recall: 0.8263, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8349, scimark_benchmark: 1317.3007, usercpu_time_millis: 46.043, usercpu_time_millis_testing: 2.556, usercpu_time_millis_training: 43.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8567, kappa: 0.4596, kb_relative_information_score: 671.2503, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8906, predictive_accuracy: 0.8808, prior_entropy: 0.6786, recall: 0.8808, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.7608, scimark_benchmark: 1294.4933, usercpu_time_millis: 133.212, usercpu_time_millis_testing: 3.995, usercpu_time_millis_training: 129.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.7402, kb_relative_information_score: 323.4545, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.8626, scimark_benchmark: 1316.583, usercpu_time_millis: 67.929, usercpu_time_millis_testing: 4.761, usercpu_time_millis_training: 63.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7442, kappa: 0.0151, kb_relative_information_score: 328.6284, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8541, predictive_accuracy: 0.8226, prior_entropy: 0.6786, recall: 0.8226, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.8591, scimark_benchmark: 1312.5463, usercpu_time_millis: 13.489, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 12.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.844, kappa: 0.4091, kb_relative_information_score: 601.9028, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8824, predictive_accuracy: 0.8725, prior_entropy: 0.6786, recall: 0.8725, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.299, root_relative_squared_error: 0.7797, scimark_benchmark: 1308.8776, usercpu_time_millis: 77.082, usercpu_time_millis_testing: 3.368, usercpu_time_millis_training: 73.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8752, kappa: 0.534, kb_relative_information_score: 738.2594, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8993, predictive_accuracy: 0.8928, prior_entropy: 0.6786, recall: 0.8928, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.74, scimark_benchmark: 1298.6726, usercpu_time_millis: 169.355, usercpu_time_millis_testing: 5.541, usercpu_time_millis_training: 163.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8232, kappa: 0.3252, kb_relative_information_score: 567.8971, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8765, predictive_accuracy: 0.8608, prior_entropy: 0.6786, recall: 0.8608, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.7925, scimark_benchmark: 1320.0559, usercpu_time_millis: 200.629, usercpu_time_millis_testing: 7.893, usercpu_time_millis_training: 192.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.7402, kb_relative_information_score: 324.0693, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8578, scimark_benchmark: 1317.1191, usercpu_time_millis: 66.532, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 61.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8515, kappa: 0.4393, kb_relative_information_score: 645.8191, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8857, predictive_accuracy: 0.877, prior_entropy: 0.6786, recall: 0.877, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.7675, scimark_benchmark: 1293.117, usercpu_time_millis: 20.219, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 18.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8624, kappa: 0.4834, kb_relative_information_score: 703.7806, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8898, predictive_accuracy: 0.8837, prior_entropy: 0.6786, recall: 0.8837, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.7523, scimark_benchmark: 1314.0269, usercpu_time_millis: 58.88, usercpu_time_millis_testing: 2.755, usercpu_time_millis_training: 56.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8749, kappa: 0.532, kb_relative_information_score: 713.3189, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9021, predictive_accuracy: 0.8932, prior_entropy: 0.6786, recall: 0.8932, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.285, root_relative_squared_error: 0.7433, scimark_benchmark: 1315.2212, usercpu_time_millis: 77.092, usercpu_time_millis_testing: 2.359, usercpu_time_millis_training: 74.733,

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

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

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From your own software

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

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