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Supervised Classification on fri_c2_500_10

Supervised Classification on fri_c2_500_10

Task 4438 Supervised Classification fri_c2_500_10 222 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8886, kappa: 0.7722, kb_relative_information_score: 3570.1441, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8886, predictive_accuracy: 0.8888, prior_entropy: 0.9851, recall: 0.8888, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6131, scimark_benchmark: 1315.9287, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.919, kappa: 0.8344, kb_relative_information_score: 3427.0462, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9851, recall: 0.9192, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5101, scimark_benchmark: 1336.5541, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7104, kappa: 0.4069, kb_relative_information_score: 1141.6951, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7101, predictive_accuracy: 0.7116, prior_entropy: 0.9851, recall: 0.7116, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9038, scimark_benchmark: 1320.2063, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1339.8573, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8873, kappa: 0.7701, kb_relative_information_score: 3498.3606, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8875, predictive_accuracy: 0.8872, prior_entropy: 0.9851, recall: 0.8872, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5829, scimark_benchmark: 1346.0226, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9019, kappa: 0.7993, kb_relative_information_score: 3524.5137, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5325, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8886, kappa: 0.7722, kb_relative_information_score: 3570.1441, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8886, predictive_accuracy: 0.8888, prior_entropy: 0.9851, recall: 0.8888, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6131, scimark_benchmark: 1331.2559, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1351.5471, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8886, kappa: 0.7722, kb_relative_information_score: 3570.1441, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8886, predictive_accuracy: 0.8888, prior_entropy: 0.9851, recall: 0.8888, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6131, scimark_benchmark: 1355.6627, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.919, kappa: 0.8344, kb_relative_information_score: 3427.0462, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9851, recall: 0.9192, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5101, scimark_benchmark: 1362.1309, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7767, kappa: 0.5432, kb_relative_information_score: 2701.7449, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9851, recall: 0.777, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9544, scimark_benchmark: 1315.5063, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8886, kappa: 0.7722, kb_relative_information_score: 3570.1441, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8886, predictive_accuracy: 0.8888, prior_entropy: 0.9851, recall: 0.8888, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6131, scimark_benchmark: 1297.2338, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8321, kappa: 0.6554, kb_relative_information_score: 2986.2834, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8343, predictive_accuracy: 0.8336, prior_entropy: 0.9851, recall: 0.8336, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7286, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1315.2176, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9019, kappa: 0.7993, kb_relative_information_score: 3524.5137, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5325, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.919, kappa: 0.8344, kb_relative_information_score: 3427.0462, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9851, recall: 0.9192, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5101, scimark_benchmark: 1345.7204, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7363, kappa: 0.4621, kb_relative_information_score: 2242.9295, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7367, predictive_accuracy: 0.736, prior_entropy: 0.9851, recall: 0.736, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9508, scimark_benchmark: 1288.1375, usercpu_time_millis: 6780, usercpu_time_millis_testing: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8956, kappa: 0.7869, kb_relative_information_score: 3796.2438, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8957, predictive_accuracy: 0.8956, prior_entropy: 0.9851, recall: 0.8956, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.625, scimark_benchmark: 1151.6869, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9029, kappa: 0.8015, kb_relative_information_score: 3857.07, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9029, predictive_accuracy: 0.903, prior_entropy: 0.9851, recall: 0.903, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5245, scimark_benchmark: 1337.5749, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 942.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8581, kappa: 0.7088, kb_relative_information_score: 2315.6937, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8623, predictive_accuracy: 0.8598, prior_entropy: 0.9851, recall: 0.8598, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6716, scimark_benchmark: 1347.5461, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9079, kappa: 0.8117, kb_relative_information_score: 3553.0151, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9851, recall: 0.908, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5128, scimark_benchmark: 892.0148, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8997, kappa: 0.7947, kb_relative_information_score: 3798.3907, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9851, recall: 0.9, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5998, scimark_benchmark: 1343.2125, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9166, kappa: 0.8296, kb_relative_information_score: 4037.7377, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9166, predictive_accuracy: 0.9166, prior_entropy: 0.9851, recall: 0.9166, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5344, scimark_benchmark: 1322.4968, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8645, kappa: 0.7217, kb_relative_information_score: 2341.8452, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8695, predictive_accuracy: 0.8662, prior_entropy: 0.9851, recall: 0.8662, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6638, scimark_benchmark: 883.2709, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1354.8751, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9087, kappa: 0.8135, kb_relative_information_score: 4000.5808, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9087, predictive_accuracy: 0.9088, prior_entropy: 0.9851, recall: 0.9088, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.5912, scimark_benchmark: 1292.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8668, kappa: 0.7266, kb_relative_information_score: 2336.5259, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8723, predictive_accuracy: 0.8686, prior_entropy: 0.9851, recall: 0.8686, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6623, scimark_benchmark: 1307.3764, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8506, kappa: 0.6934, kb_relative_information_score: 2264.1249, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8533, predictive_accuracy: 0.852, prior_entropy: 0.9851, recall: 0.852, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6841, scimark_benchmark: 1331.2332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7937, kappa: 0.5778, kb_relative_information_score: 1539.7265, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7936, predictive_accuracy: 0.7942, prior_entropy: 0.9851, recall: 0.7942, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8395, scimark_benchmark: 1268.9931, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7971, kappa: 0.5849, kb_relative_information_score: 2000.5392, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.797, predictive_accuracy: 0.7976, prior_entropy: 0.9851, recall: 0.7976, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.806, scimark_benchmark: 1351.6526, usercpu_time_millis: 1020, usercpu_time_millis_testing: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1338.9438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.718, kappa: 0.4227, kb_relative_information_score: 2102.0896, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7176, predictive_accuracy: 0.7188, prior_entropy: 0.9851, recall: 0.7188, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.0717, scimark_benchmark: 1358.4523, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7034, kappa: 0.3935, kb_relative_information_score: 1940.9299, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7031, predictive_accuracy: 0.7038, prior_entropy: 0.9851, recall: 0.7038, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.543, root_relative_squared_error: 1.0975, scimark_benchmark: 1328.8457, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7034, kappa: 0.3935, kb_relative_information_score: 1947.5393, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7031, predictive_accuracy: 0.7038, prior_entropy: 0.9851, recall: 0.7038, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.0999, scimark_benchmark: 1249.4068, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.3111, kappa: 0.0014, kb_relative_information_score: -163.6005, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.5146, predictive_accuracy: 0.4368, prior_entropy: 0.9851, recall: 0.4368, relative_absolute_error: 1.0212, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0107, scimark_benchmark: 1348.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7759, kappa: 0.5525, kb_relative_information_score: 1924.3884, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7909, predictive_accuracy: 0.7748, prior_entropy: 0.9851, recall: 0.7748, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8223, scimark_benchmark: 1327.9121, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8541, kappa: 0.7012, kb_relative_information_score: 2963.344, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8543, predictive_accuracy: 0.8546, prior_entropy: 0.9851, recall: 0.8546, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6547, scimark_benchmark: 996.6105, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1305.7138, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9005, kappa: 0.7965, kb_relative_information_score: 3694.4604, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9005, predictive_accuracy: 0.9006, prior_entropy: 0.9851, recall: 0.9006, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5327, scimark_benchmark: 1339.8573, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8821, kappa: 0.7586, kb_relative_information_score: 3174.0082, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8823, predictive_accuracy: 0.8824, prior_entropy: 0.9851, recall: 0.8824, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5924, scimark_benchmark: 855.8522, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7767, kappa: 0.5432, kb_relative_information_score: 2701.7449, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9851, recall: 0.777, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9544, scimark_benchmark: 1341.4981, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
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: 0.8017, f_measure: 0.7847, kappa: 0.5668, kb_relative_information_score: 2379.1087, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7933, predictive_accuracy: 0.7836, prior_entropy: 0.9851, recall: 0.7836, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8474, scimark_benchmark: 1292.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 937.5996, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.8068, kappa: 0.6058, kb_relative_information_score: 1863.8098, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8071, predictive_accuracy: 0.8066, prior_entropy: 0.9851, recall: 0.8066, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8925, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.807, kappa: 0.6062, kb_relative_information_score: 1863.7753, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8072, predictive_accuracy: 0.8068, prior_entropy: 0.9851, recall: 0.8068, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8925, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.777, kappa: 0.5456, kb_relative_information_score: 2697.6236, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7777, predictive_accuracy: 0.7766, prior_entropy: 0.9851, recall: 0.7766, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9553, scimark_benchmark: 1330.7934, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7102, kappa: 0.4065, kb_relative_information_score: 1141.8281, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7099, predictive_accuracy: 0.7114, prior_entropy: 0.9851, recall: 0.7114, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9038, scimark_benchmark: 1300.0105, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8579, kappa: 0.7088, kb_relative_information_score: 3023.5972, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8586, predictive_accuracy: 0.8586, prior_entropy: 0.9851, recall: 0.8586, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6701, scimark_benchmark: 1325.5087, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7975, kappa: 0.5857, kb_relative_information_score: 1943.9933, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7974, predictive_accuracy: 0.798, prior_entropy: 0.9851, recall: 0.798, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8131, scimark_benchmark: 1307.2114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.741, kappa: 0.4717, kb_relative_information_score: 2328.7635, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7414, predictive_accuracy: 0.7408, prior_entropy: 0.9851, recall: 0.7408, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.029, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.804, kappa: 0.6, kb_relative_information_score: 1853.2828, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8042, predictive_accuracy: 0.8038, prior_entropy: 0.9851, recall: 0.8038, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8944, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8873, kappa: 0.7701, kb_relative_information_score: 3498.3606, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8875, predictive_accuracy: 0.8872, prior_entropy: 0.9851, recall: 0.8872, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5829, scimark_benchmark: 1334.3805, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9014, kappa: 0.7986, kb_relative_information_score: 3631.8229, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9014, predictive_accuracy: 0.9014, prior_entropy: 0.9851, recall: 0.9014, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.564, scimark_benchmark: 1464.9318, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1327.9952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8967, kappa: 0.7888, kb_relative_information_score: 3449.665, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8967, predictive_accuracy: 0.8968, prior_entropy: 0.9851, recall: 0.8968, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5576, scimark_benchmark: 1338.01, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9065, kappa: 0.8088, kb_relative_information_score: 3556.6117, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9065, predictive_accuracy: 0.9066, prior_entropy: 0.9851, recall: 0.9066, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.512, scimark_benchmark: 1341.468, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7847, kappa: 0.5668, kb_relative_information_score: 2379.1087, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7933, predictive_accuracy: 0.7836, prior_entropy: 0.9851, recall: 0.7836, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8474, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4679, f_measure: 0.349, kappa: -0.0166, kb_relative_information_score: -210.2279, mean_absolute_error: 0.5046, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.4861, predictive_accuracy: 0.436, prior_entropy: 0.9851, recall: 0.436, relative_absolute_error: 1.0304, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0399, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4163, kb_relative_information_score: -0.708, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4948, root_relative_squared_error: 1, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8909, kappa: 0.7761, kb_relative_information_score: 3884.5702, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8936, predictive_accuracy: 0.8918, prior_entropy: 0.9851, recall: 0.8918, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6648, scimark_benchmark: 937.1527, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8977, kappa: 0.7909, kb_relative_information_score: 3655.0966, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8977, predictive_accuracy: 0.8978, prior_entropy: 0.9851, recall: 0.8978, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6108, scimark_benchmark: 1339.4189, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8683, kappa: 0.7297, kb_relative_information_score: 2317.0143, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8734, predictive_accuracy: 0.87, prior_entropy: 0.9851, recall: 0.87, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6643, scimark_benchmark: 1307.4861, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.857, kappa: 0.7067, kb_relative_information_score: 2814.6262, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 0.9851, recall: 0.858, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.635, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9045, kappa: 0.8048, kb_relative_information_score: 3550.974, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9045, predictive_accuracy: 0.9046, prior_entropy: 0.9851, recall: 0.9046, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5151, scimark_benchmark: 882.7843, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9065, kappa: 0.8087, kb_relative_information_score: 3542.4058, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9065, predictive_accuracy: 0.9066, prior_entropy: 0.9851, recall: 0.9066, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5207, scimark_benchmark: 912.7324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9019, kappa: 0.7993, kb_relative_information_score: 3524.5137, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5325, scimark_benchmark: 940.0008, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8765, kappa: 0.7469, kb_relative_information_score: 3464.674, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8771, predictive_accuracy: 0.877, prior_entropy: 0.9851, recall: 0.877, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6484, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9081, kappa: 0.8122, kb_relative_information_score: 3861.232, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9081, predictive_accuracy: 0.9082, prior_entropy: 0.9851, recall: 0.9082, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5245, scimark_benchmark: 1304.9611, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8993, kappa: 0.7943, kb_relative_information_score: 3669.1383, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8993, predictive_accuracy: 0.8994, prior_entropy: 0.9851, recall: 0.8994, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5455, scimark_benchmark: 915.9693, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8933, kappa: 0.7817, kb_relative_information_score: 3475.8874, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8932, predictive_accuracy: 0.8934, prior_entropy: 0.9851, recall: 0.8934, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5635, scimark_benchmark: 1336.2509, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.873, kappa: 0.7401, kb_relative_information_score: 3198.6409, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.873, predictive_accuracy: 0.8732, prior_entropy: 0.9851, recall: 0.8732, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5989, scimark_benchmark: 929.0363, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.859, kappa: 0.7125, kb_relative_information_score: 2801.2611, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8594, predictive_accuracy: 0.8588, prior_entropy: 0.9851, recall: 0.8588, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6508, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7354, kappa: 0.4585, kb_relative_information_score: 1662.0173, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7351, predictive_accuracy: 0.736, prior_entropy: 0.9851, recall: 0.736, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8798, scimark_benchmark: 889.3151, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7171, kappa: 0.421, kb_relative_information_score: 1737.0273, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7167, predictive_accuracy: 0.7178, prior_entropy: 0.9851, recall: 0.7178, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9144, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5952, kappa: 0.2134, kb_relative_information_score: 840.9589, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.6265, predictive_accuracy: 0.5964, prior_entropy: 0.9851, recall: 0.5964, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6353, root_relative_squared_error: 1.284, scimark_benchmark: 1404.1865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 589.557, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 1331.6907, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7925, kappa: 0.5757, kb_relative_information_score: 2864.538, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7923, predictive_accuracy: 0.7928, prior_entropy: 0.9851, recall: 0.7928, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.92, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7885, kappa: 0.5662, kb_relative_information_score: 959.1441, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7894, predictive_accuracy: 0.79, prior_entropy: 0.9851, recall: 0.79, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9087, scimark_benchmark: 906.4475, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.718, kappa: 0.4227, kb_relative_information_score: 2102.0896, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7176, predictive_accuracy: 0.7188, prior_entropy: 0.9851, recall: 0.7188, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.0717, scimark_benchmark: 938.9967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.719, kappa: 0.4264, kb_relative_information_score: 1338.0507, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7192, predictive_accuracy: 0.7188, prior_entropy: 0.9851, recall: 0.7188, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8806, scimark_benchmark: 938.202, usercpu_time_millis: 9230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 9170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8548, kappa: 0.7023, kb_relative_information_score: 3130.2353, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 0.9851, recall: 0.8556, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6601, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.919, kappa: 0.8344, kb_relative_information_score: 3427.0462, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9851, recall: 0.9192, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5101, scimark_benchmark: 1250.8301, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,

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