OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 3019 Supervised Classification Australian 675 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8513, kappa: 0.6982, kb_relative_information_score: 459.8009, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.853, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6835, scimark_benchmark: 1241.5236, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 303.5398, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987, scimark_benchmark: 1248.2165, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8636, kappa: 0.7235, kb_relative_information_score: 435.1843, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6571, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 371.5639, mean_absolute_error: 0.2459, 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: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545, scimark_benchmark: 972.587, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8535, kappa: 0.7032, kb_relative_information_score: 434.0497, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444, scimark_benchmark: 851.2074, 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: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 439.3176, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 941.6675, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 444.1066, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6245, scimark_benchmark: 943.8235, usercpu_time_millis: 3540, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 905.2959,
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: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 974.2014, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8374, kappa: 0.6705, kb_relative_information_score: 418.7212, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6982, scimark_benchmark: 936.3373, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 428.2733, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6188, scimark_benchmark: 947.1781, usercpu_time_millis: 370, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8636, kappa: 0.7235, kb_relative_information_score: 435.1843, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6571, scimark_benchmark: 819.5729, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 371.5639, mean_absolute_error: 0.2459, 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: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545, scimark_benchmark: 935.2002, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8535, kappa: 0.7032, kb_relative_information_score: 434.0497, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444, scimark_benchmark: 906.5979, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, 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: 730.6551, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
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: 934.5964, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8513, kappa: 0.6982, kb_relative_information_score: 459.8009, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.853, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6835, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 439.3176, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 941.4991, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 444.1066, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6245, scimark_benchmark: 906.0979, usercpu_time_millis: 4920, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 4710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 944.0133, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8374, kappa: 0.6705, kb_relative_information_score: 418.7212, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6982, scimark_benchmark: 935.5664, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 428.2733, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6188, scimark_benchmark: 1051.249, usercpu_time_millis: 570, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8697, kappa: 0.7368, kb_relative_information_score: 433.9955, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6229, scimark_benchmark: 919.9068, usercpu_time_millis: 6290, usercpu_time_millis_testing: 2880, usercpu_time_millis_training: 3410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8611, kappa: 0.7192, kb_relative_information_score: 432.187, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 932.438, usercpu_time_millis: 1960, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 434.8246, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6207, scimark_benchmark: 945.2015, usercpu_time_millis: 1100, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 434.0777, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6276, scimark_benchmark: 935.0213, usercpu_time_millis: 530, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8611, kappa: 0.7194, kb_relative_information_score: 432.342, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.632, scimark_benchmark: 936.7184, usercpu_time_millis: 310, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 450.8456, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6299, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 450.8456, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6299, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 450.8456, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6299, scimark_benchmark: 936.7184, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 446.7005, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6374, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8656, kappa: 0.7298, kb_relative_information_score: 501.8092, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6878, scimark_benchmark: 936.7286, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8713, kappa: 0.7408, kb_relative_information_score: 504.4534, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8736, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6788, scimark_benchmark: 935.6052, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8671, kappa: 0.7333, kb_relative_information_score: 501.3713, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8727, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6935, scimark_benchmark: 940.0055, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8642, kappa: 0.7268, kb_relative_information_score: 491.1983, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8678, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6952, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 484.3395, mean_absolute_error: 0.147, 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: 0.2975, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7457, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 441.5676, mean_absolute_error: 0.1858, 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: 0.3762, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7284, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8622, kappa: 0.7208, kb_relative_information_score: 423.4661, mean_absolute_error: 0.202, 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: 0.409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6452, scimark_benchmark: 935.6052, usercpu_time_millis: 1730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 376.5216, mean_absolute_error: 0.244, 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: 0.4939, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6925, scimark_benchmark: 931.7994, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8636, kappa: 0.7235, kb_relative_information_score: 435.1843, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6571, scimark_benchmark: 926.4745, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 371.5639, mean_absolute_error: 0.2459, 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: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545, scimark_benchmark: 934.1885, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8535, kappa: 0.7032, kb_relative_information_score: 434.0497, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444, scimark_benchmark: 875.9128, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, 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: 946.8777, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8513, kappa: 0.6982, kb_relative_information_score: 459.8009, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.853, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6835, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 439.3176, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 922.5036, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 439.3176, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 1313.8988, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8513, kappa: 0.6982, kb_relative_information_score: 459.8009, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.853, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6835, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 444.1065, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6245, scimark_benchmark: 1360.6367, usercpu_time_millis: 2910, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 428.2733, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6188, scimark_benchmark: 1317.5857, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1309.0674, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1306.9281, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8375, kappa: 0.6707, kb_relative_information_score: 409.2196, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8375, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7465, scimark_benchmark: 1310.3168, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8636, kappa: 0.7235, kb_relative_information_score: 435.1843, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6571, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 371.5639, mean_absolute_error: 0.2459, 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: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545, scimark_benchmark: 1350.2591, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8513, kappa: 0.6982, kb_relative_information_score: 459.8009, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.853, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6835, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 444.1065, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6245, scimark_benchmark: 1350.2591, usercpu_time_millis: 1700, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 371.5639, mean_absolute_error: 0.2459, 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: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545, scimark_benchmark: 1345.6844, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8535, kappa: 0.7032, kb_relative_information_score: 434.0497, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444, scimark_benchmark: 1345.6844, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 439.3176, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 1342.2845, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 428.2733, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6188, scimark_benchmark: 1313.8988, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 394.5567, mean_absolute_error: 0.2292, 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: 0.4641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6791, scimark_benchmark: 1320.1171, usercpu_time_millis: 2180, usercpu_time_millis_testing: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8535, kappa: 0.7032, kb_relative_information_score: 434.0497, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444, scimark_benchmark: 1322.3407, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637, scimark_benchmark: 1342.6744, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,

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