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Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 4592 Supervised Classification analcatdata_germangss 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8905, kappa: 0.6722, kb_relative_information_score: 2034.6915, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8945, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6611, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.906, kappa: 0.7268, kb_relative_information_score: 2434.7134, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9054, predictive_accuracy: 0.9073, prior_entropy: 0.7716, recall: 0.9073, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1376.438, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8198, kappa: 0.439, kb_relative_information_score: 1290.187, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8733, predictive_accuracy: 0.8503, prior_entropy: 0.7716, recall: 0.8503, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.7528, scimark_benchmark: 1350.907, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8905, kappa: 0.6722, kb_relative_information_score: 2034.6915, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8945, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6611, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8946, kappa: 0.6926, kb_relative_information_score: 1990.7759, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8938, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6547, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9106, kappa: 0.7413, kb_relative_information_score: 2618.1477, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9101, predictive_accuracy: 0.9115, prior_entropy: 0.7716, recall: 0.9115, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.6041, scimark_benchmark: 1337.5749, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9, kappa: 0.7153, kb_relative_information_score: 2385.0417, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9009, predictive_accuracy: 0.8993, prior_entropy: 0.7716, recall: 0.8993, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8854, kappa: 0.6597, kb_relative_information_score: 1850.9886, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8865, predictive_accuracy: 0.8903, prior_entropy: 0.7716, recall: 0.8903, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6812, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8589, kappa: 0.5654, kb_relative_information_score: 1577.6272, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8859, predictive_accuracy: 0.8758, prior_entropy: 0.7716, recall: 0.8758, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.7033, scimark_benchmark: 854.6529, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8196, kappa: 0.4399, kb_relative_information_score: 1214.1854, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8577, predictive_accuracy: 0.8473, prior_entropy: 0.7716, recall: 0.8473, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7692, scimark_benchmark: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8228, kappa: 0.4511, kb_relative_information_score: 1226.3449, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8526, predictive_accuracy: 0.8478, prior_entropy: 0.7716, recall: 0.8478, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.7685, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9109, kappa: 0.742, kb_relative_information_score: 2615.7886, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9103, predictive_accuracy: 0.9118, prior_entropy: 0.7716, recall: 0.9118, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.6041, scimark_benchmark: 1329.8902, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8115, kappa: 0.4138, kb_relative_information_score: 1200.8438, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8532, predictive_accuracy: 0.842, prior_entropy: 0.7716, recall: 0.842, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.7713, scimark_benchmark: 943.1756, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8197, kappa: 0.4428, kb_relative_information_score: 1214.7346, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8434, predictive_accuracy: 0.8438, prior_entropy: 0.7716, recall: 0.8438, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.7732, scimark_benchmark: 1342.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8946, kappa: 0.6926, kb_relative_information_score: 1990.7759, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8938, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6547, scimark_benchmark: 1176.0388, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8842, kappa: 0.6562, kb_relative_information_score: 2515.5677, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8851, predictive_accuracy: 0.889, prior_entropy: 0.7716, recall: 0.889, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7045, scimark_benchmark: 885.0921, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9055, kappa: 0.7224, kb_relative_information_score: 1771.0684, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9055, predictive_accuracy: 0.908, prior_entropy: 0.7716, recall: 0.908, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.6603, scimark_benchmark: 1334.2813, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8427, kappa: 0.5321, kb_relative_information_score: 1284.3621, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8415, predictive_accuracy: 0.8498, prior_entropy: 0.7716, recall: 0.8498, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.8001, scimark_benchmark: 1319.4881, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 1348.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8888, kappa: 0.6667, kb_relative_information_score: 1987.7954, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8934, predictive_accuracy: 0.8953, prior_entropy: 0.7716, recall: 0.8953, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.277, root_relative_squared_error: 0.6634, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8905, kappa: 0.6722, kb_relative_information_score: 2034.6915, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8945, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6611, scimark_benchmark: 934.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9091, kappa: 0.7367, kb_relative_information_score: 2814.7416, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9085, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7184, scimark_benchmark: 885.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.785, kappa: 0.3722, kb_relative_information_score: 1241.3907, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.7817, predictive_accuracy: 0.7893, prior_entropy: 0.7716, recall: 0.7893, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0994, scimark_benchmark: 765.566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.6768, kb_relative_information_score: -3061.8921, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.3951, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1691, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.916, kappa: 0.7591, kb_relative_information_score: 2892.9205, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.7716, recall: 0.916, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6941, scimark_benchmark: 1327.5791, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.7252, kappa: 0.1463, kb_relative_information_score: 135.3296, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.7207, predictive_accuracy: 0.768, prior_entropy: 0.7716, recall: 0.768, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9848, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.864, kappa: 0.6056, kb_relative_information_score: 919.5335, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8629, predictive_accuracy: 0.8658, prior_entropy: 0.7716, recall: 0.8658, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7926, scimark_benchmark: 789.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8561, kappa: 0.5931, kb_relative_information_score: 1700.3225, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8586, predictive_accuracy: 0.8543, prior_entropy: 0.7716, recall: 0.8543, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8139, scimark_benchmark: 1349.9741, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8217, kappa: 0.4469, kb_relative_information_score: 1229.413, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8571, predictive_accuracy: 0.8483, prior_entropy: 0.7716, recall: 0.8483, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.7672, scimark_benchmark: 1348.8637, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9116, kappa: 0.7443, kb_relative_information_score: 2601.3586, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9111, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6033, scimark_benchmark: 1339.4964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 1325.0605, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.8654, kappa: 0.6097, kb_relative_information_score: 2168.1728, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8643, predictive_accuracy: 0.867, prior_entropy: 0.7716, recall: 0.867, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8356, scimark_benchmark: 994.8259,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9, kappa: 0.7153, kb_relative_information_score: 2385.0417, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9009, predictive_accuracy: 0.8993, prior_entropy: 0.7716, recall: 0.8993, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 986.8456,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8863, kappa: 0.6711, kb_relative_information_score: 2532.6676, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8855, predictive_accuracy: 0.8873, prior_entropy: 0.7716, recall: 0.8873, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.315, root_relative_squared_error: 0.7542, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8827, kappa: 0.6596, kb_relative_information_score: 2161.9934, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8818, predictive_accuracy: 0.8843, prior_entropy: 0.7716, recall: 0.8843, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.714, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.9068, kappa: 0.7331, kb_relative_information_score: 2548.4443, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9069, predictive_accuracy: 0.9068, prior_entropy: 0.7716, recall: 0.9068, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.681, scimark_benchmark: 1308.9788, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.919, kappa: 0.7677, kb_relative_information_score: 2932.01, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.919, predictive_accuracy: 0.919, prior_entropy: 0.7716, recall: 0.919, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6816, scimark_benchmark: 1321.9426, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.57, kappa: -0.0078, kb_relative_information_score: -2107.2732, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.6478, predictive_accuracy: 0.5323, prior_entropy: 0.7716, recall: 0.5323, relative_absolute_error: 1.3383, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.6378, scimark_benchmark: 905.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8947, kappa: 0.6987, kb_relative_information_score: 2430.9118, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8949, predictive_accuracy: 0.8945, prior_entropy: 0.7716, recall: 0.8945, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.703, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9059, kappa: 0.7232, kb_relative_information_score: 2798.4543, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9063, predictive_accuracy: 0.9088, prior_entropy: 0.7716, recall: 0.9088, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.7234, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9059, kappa: 0.7232, kb_relative_information_score: 2798.4543, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9063, predictive_accuracy: 0.9088, prior_entropy: 0.7716, recall: 0.9088, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.7234, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.7872, kappa: 0.3991, kb_relative_information_score: 1176.2416, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.7908, predictive_accuracy: 0.7843, prior_entropy: 0.7716, recall: 0.7843, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.1123, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8625, kappa: 0.618, kb_relative_information_score: 2146.9633, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8691, predictive_accuracy: 0.8588, prior_entropy: 0.7716, recall: 0.8588, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.9, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -2.74, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9, kappa: 0.7153, kb_relative_information_score: 2385.0417, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9009, predictive_accuracy: 0.8993, prior_entropy: 0.7716, recall: 0.8993, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, build_cpu_time: 0.1495, build_memory: 1165924689.04, f_measure: 0.9259, kappa: 0.7866, kb_relative_information_score: 3028.5845, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9257, predictive_accuracy: 0.9263, prior_entropy: 0.7716, recall: 0.9263, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.631, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, build_cpu_time: 0.1022, build_memory: 686385366.88, f_measure: 0.9258, kappa: 0.7857, kb_relative_information_score: 3023.8792, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9254, predictive_accuracy: 0.9263, prior_entropy: 0.7716, recall: 0.9263, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6245, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.049, build_memory: 864958670.88, f_measure: 0.9213, kappa: 0.7729, kb_relative_information_score: 2960.6959, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9209, predictive_accuracy: 0.9218, prior_entropy: 0.7716, recall: 0.9218, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.267, root_relative_squared_error: 0.6393, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, build_cpu_time: 0.1089, build_memory: 1774732559.84, f_measure: 0.8589, kappa: 0.5823, kb_relative_information_score: 1688.9492, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.858, predictive_accuracy: 0.8643, prior_entropy: 0.7716, recall: 0.8643, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.7566, scimark_benchmark: 942.8959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, build_cpu_time: 1.9566, build_memory: 470954891.68, f_measure: 0.8683, kappa: 0.6121, kb_relative_information_score: 1749.3406, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8674, predictive_accuracy: 0.8725, prior_entropy: 0.7716, recall: 0.8725, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.7326, scimark_benchmark: 723.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, build_cpu_time: 0.0906, build_memory: 398270190.88, f_measure: 0.9117, kappa: 0.7476, kb_relative_information_score: 2383.0093, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.912, predictive_accuracy: 0.9115, prior_entropy: 0.7716, recall: 0.9115, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.6342, scimark_benchmark: 942.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, build_cpu_time: 0.0497, build_memory: 406395604.32, f_measure: 0.9086, kappa: 0.7385, kb_relative_information_score: 2376.0605, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9088, predictive_accuracy: 0.9085, prior_entropy: 0.7716, recall: 0.9085, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.6362, scimark_benchmark: 944.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, build_cpu_time: 0.0456, build_memory: 512888211.76, f_measure: 0.9086, kappa: 0.7385, kb_relative_information_score: 2376.0605, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9088, predictive_accuracy: 0.9085, prior_entropy: 0.7716, recall: 0.9085, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.6362, scimark_benchmark: 937.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, build_cpu_time: 0.0168, build_memory: 137068756, f_measure: 0.9074, kappa: 0.7352, kb_relative_information_score: 2374.91, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9077, predictive_accuracy: 0.9073, prior_entropy: 0.7716, recall: 0.9073, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6378, scimark_benchmark: 906.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, build_cpu_time: 0.0173, build_memory: 67650156.96, f_measure: 0.9074, kappa: 0.7352, kb_relative_information_score: 2374.91, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9077, predictive_accuracy: 0.9073, prior_entropy: 0.7716, recall: 0.9073, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6378, scimark_benchmark: 944.9493,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs