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OpenML
OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21238 runs submitted
0 likes downloaded by 3 people , 12 total downloads 0 issues
Visibility: Public
  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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21238 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 423.6685, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.713, scimark_benchmark: 1335.643, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 423.6685, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.713, scimark_benchmark: 1404.1865, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.8524, kappa: 0.7068, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 1318.1432, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.8524, kappa: 0.7068, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 1318.1432, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 916.5769, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 938.343, usercpu_time_millis: 370, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8525, kappa: 0.7059, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 916.5955, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8525, kappa: 0.7059, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 894.7222, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8583, kappa: 0.7147, kb_relative_information_score: 415.1518, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6594, scimark_benchmark: 1034.1273, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8583, kappa: 0.7147, kb_relative_information_score: 415.1518, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6594, scimark_benchmark: 923.988, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7687, kappa: 0.5303, kb_relative_information_score: 368.395, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7718, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9629, scimark_benchmark: 935.5075, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7687, kappa: 0.5303, kb_relative_information_score: 368.395, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7718, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9629, scimark_benchmark: 1250.8301, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8581, kappa: 0.713, kb_relative_information_score: 430.4434, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6671, scimark_benchmark: 1346.9602, usercpu_time_millis: 73860, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 73720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8581, kappa: 0.713, kb_relative_information_score: 430.4434, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6671, scimark_benchmark: 1324.8395, usercpu_time_millis: 43600, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 43450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.4823, kappa: 0.0406, kb_relative_information_score: 73.2835, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5475, predictive_accuracy: 0.5609, prior_entropy: 0.9913, recall: 0.5609, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6627, root_relative_squared_error: 1.3335, scimark_benchmark: 1325.2092, usercpu_time_millis: 370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8659, kappa: 0.7278, kb_relative_information_score: 465.8345, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8677, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6757, scimark_benchmark: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8475, kappa: 0.6908, kb_relative_information_score: 454.2124, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7068, scimark_benchmark: 1304.9611, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8475, kappa: 0.6908, kb_relative_information_score: 454.2124, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7068, scimark_benchmark: 1073.494, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8622, kappa: 0.721, kb_relative_information_score: 391.0094, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8622, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6533, scimark_benchmark: 1318.5526, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.77, kappa: 0.5354, kb_relative_information_score: 366.8658, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7709, predictive_accuracy: 0.7696, prior_entropy: 0.9913, recall: 0.7696, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9393, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.77, kappa: 0.5354, kb_relative_information_score: 366.8658, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7709, predictive_accuracy: 0.7696, prior_entropy: 0.9913, recall: 0.7696, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9393, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8468, kappa: 0.6922, kb_relative_information_score: 399.0291, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8509, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6971, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8468, kappa: 0.6922, kb_relative_information_score: 399.0291, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8509, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6971, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8378, kappa: 0.672, kb_relative_information_score: 403.2048, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8381, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7, scimark_benchmark: 825.5282, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8378, kappa: 0.672, kb_relative_information_score: 403.2048, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8381, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7, scimark_benchmark: 1066.7184, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8318, kappa: 0.6594, kb_relative_information_score: 453.8756, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8318, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8251, scimark_benchmark: 1291.6995, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8318, kappa: 0.6594, kb_relative_information_score: 453.8756, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8318, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8251, scimark_benchmark: 1325.2092, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5099, kappa: 0.1816, kb_relative_information_score: 73.2835, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.693, predictive_accuracy: 0.5609, prior_entropy: 0.9913, recall: 0.5609, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6627, root_relative_squared_error: 1.3335, scimark_benchmark: 1368.9272, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5099, kappa: 0.1816, kb_relative_information_score: 73.2835, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.693, predictive_accuracy: 0.5609, prior_entropy: 0.9913, recall: 0.5609, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6627, root_relative_squared_error: 1.3335, scimark_benchmark: 1368.9272, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8494, kappa: 0.6954, kb_relative_information_score: 440.5744, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8497, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7155, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8494, kappa: 0.6954, kb_relative_information_score: 440.5744, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8497, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7155, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1465.2979,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8406, kappa: 0.6772, kb_relative_information_score: 460.9029, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8406, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7701, scimark_benchmark: 921.8984, usercpu_time_millis: 90620, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8569, kappa: 0.7118, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8595, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, scimark_benchmark: 1345.5871, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 432.7831, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6802, scimark_benchmark: 1054.3694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7892, kappa: 0.5731, kb_relative_information_score: 400.5495, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8039, predictive_accuracy: 0.7942, prior_entropy: 0.9913, recall: 0.7942, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8962, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8036, kappa: 0.6016, kb_relative_information_score: 400.5938, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8142, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8162, scimark_benchmark: 908.0036, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8036, kappa: 0.6016, kb_relative_information_score: 400.5938, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8142, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8162, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8046, kappa: 0.604, kb_relative_information_score: 382.5846, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8174, predictive_accuracy: 0.8087, prior_entropy: 0.9913, recall: 0.8087, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7793, scimark_benchmark: 942.6953, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8046, kappa: 0.604, kb_relative_information_score: 382.5846, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8174, predictive_accuracy: 0.8087, prior_entropy: 0.9913, recall: 0.8087, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7793, scimark_benchmark: 939.7623, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8671, kappa: 0.7328, kb_relative_information_score: 502.2562, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8712, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6786, scimark_benchmark: 923.7642, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.877, kappa: 0.7516, kb_relative_information_score: 504.2789, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8779, predictive_accuracy: 0.8768, prior_entropy: 0.9913, recall: 0.8768, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6609, scimark_benchmark: 945.6434, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7954, kappa: 0.5853, kb_relative_information_score: 374.6431, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7953, predictive_accuracy: 0.7957, prior_entropy: 0.9913, recall: 0.7957, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8656, scimark_benchmark: 1286.0005, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 482.9984, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7031, scimark_benchmark: 938.4278, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 483.6484, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7447, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7702, kappa: 0.5369, kb_relative_information_score: 377.2851, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7951, predictive_accuracy: 0.7783, prior_entropy: 0.9913, recall: 0.7783, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8753, scimark_benchmark: 1179.2496, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 440.5795, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6771, scimark_benchmark: 938.4278, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 440.5795, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6771, scimark_benchmark: 924.6116, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 445.1562, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6517, scimark_benchmark: 924.6116, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 452.924, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266, scimark_benchmark: 910.8389, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 441.6589, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 923.9763, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 441.6589, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 940.2922, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8683, kappa: 0.7338, kb_relative_information_score: 421.4225, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8688, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6315, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8683, kappa: 0.7338, kb_relative_information_score: 421.4225, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8688, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6315, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8424, kappa: 0.6856, kb_relative_information_score: 422.4344, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8528, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6834, scimark_benchmark: 943.2745, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8424, kappa: 0.6856, kb_relative_information_score: 422.4344, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8528, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6834, scimark_benchmark: 938.9865, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 447.2337, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6256, scimark_benchmark: 910.8389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 447.2337, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6256, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8537, kappa: 0.7039, kb_relative_information_score: 396.0223, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8538, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6802, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8537, kappa: 0.7039, kb_relative_information_score: 396.0223, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8538, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6802, scimark_benchmark: 943.6956, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8669, kappa: 0.7313, kb_relative_information_score: 418.2282, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8679, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6337, scimark_benchmark: 902.4773, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8669, kappa: 0.7313, kb_relative_information_score: 418.2282, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8679, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6337, scimark_benchmark: 929.0255, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 432.7831, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6802, scimark_benchmark: 943.6956, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 432.7831, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6802, scimark_benchmark: 918.4924, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 370.9569, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6693, scimark_benchmark: 922.9039, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 370.9569, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6693, scimark_benchmark: 947.9494, usercpu_time_millis: 1550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 381.9694, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6907, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7182, kappa: 0.4376, kb_relative_information_score: 315.4785, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7585, predictive_accuracy: 0.7333, prior_entropy: 0.9913, recall: 0.7333, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0391, scimark_benchmark: 947.0793, usercpu_time_millis: 850, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8448, kappa: 0.6857, kb_relative_information_score: 474.9782, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7746, scimark_benchmark: 915.2795, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8448, kappa: 0.6857, kb_relative_information_score: 474.9782, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7746, scimark_benchmark: 942.0096, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8547, kappa: 0.7054, kb_relative_information_score: 487.3211, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7611, scimark_benchmark: 915.2795, usercpu_time_millis: 910, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8547, kappa: 0.7054, kb_relative_information_score: 487.3211, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7611, scimark_benchmark: 932.3943, usercpu_time_millis: 860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 500.4371, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7385, scimark_benchmark: 947.0793, usercpu_time_millis: 1890, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 500.4371, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7385, scimark_benchmark: 1160.1034, usercpu_time_millis: 1730, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8538, kappa: 0.7045, kb_relative_information_score: 481.7807, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8543, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748, scimark_benchmark: 918.4924, usercpu_time_millis: 3280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3260,

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