Task
Supervised Classification on lupus

Supervised Classification on lupus

Task 3562 Supervised Classification lupus 515 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

515 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 37.1456, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8574, scimark_benchmark: 1323.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6822, kappa: 0.3329, kb_relative_information_score: 25.3844, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6841, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9725, scimark_benchmark: 1322.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6848, kappa: 0.3392, kb_relative_information_score: 19.6441, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6847, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9366, scimark_benchmark: 1341.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6322, kappa: 0.2352, kb_relative_information_score: 21.9605, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6322, predictive_accuracy: 0.6322, prior_entropy: 0.9735, recall: 0.6322, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.0881, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7445, kappa: 0.4656, kb_relative_information_score: 27.8281, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7705, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8671, scimark_benchmark: 1366.5423, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 32.2642, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8262, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7102, kappa: 0.394, kb_relative_information_score: 34.1535, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7096, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0932, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4472, kb_relative_information_score: -0.1823, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.001, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6335, kappa: 0.2694, kb_relative_information_score: 2.7827, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7579, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9647, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 29.5626, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8544, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 30.0711, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8853, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7369, kappa: 0.4548, kb_relative_information_score: 18.3353, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7907, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8719, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6953, kappa: 0.3607, kb_relative_information_score: 27.8242, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6964, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9237, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6925, kappa: 0.3545, kb_relative_information_score: 28.6093, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6966, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8959, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7477, kappa: 0.4709, kb_relative_information_score: 28.1534, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7644, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8671, scimark_benchmark: 940.0008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7528, kappa: 0.4811, kb_relative_information_score: 27.3091, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7576, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8718, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 31.164, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.831, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6953, kappa: 0.3607, kb_relative_information_score: 27.6488, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6964, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9807, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7029, kappa: 0.3763, kb_relative_information_score: 28.364, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7096, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9392, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7371, kappa: 0.4484, kb_relative_information_score: 28.3939, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7492, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9216, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7445, kappa: 0.4656, kb_relative_information_score: 30.0005, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7705, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8867, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7202, kappa: 0.4147, kb_relative_information_score: 30.7763, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7431, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8462, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 26.3756, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.924, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7656, kappa: 0.5082, kb_relative_information_score: 27.3656, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7689, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9452, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7656, kappa: 0.5117, kb_relative_information_score: 46.8103, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8081, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.953, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4472, kb_relative_information_score: 13.0586, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6343, root_relative_squared_error: 1.2935, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 40.4819, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0255, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 28.63, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.823, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6889, kappa: 0.3516, kb_relative_information_score: 29.9345, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6883, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1361, scimark_benchmark: 939.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.0827, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8586, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 25.4365, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9474, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7441, kappa: 0.4642, kb_relative_information_score: 40.4819, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7445, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0255, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7265, kappa: 0.4317, kb_relative_information_score: 33.3865, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7695, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8161, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7409, kappa: 0.4603, kb_relative_information_score: 29.0411, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7791, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8806, scimark_benchmark: 1309.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.6674, kappa: 0.3101, kb_relative_information_score: 25.7155, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6683, predictive_accuracy: 0.6667, prior_entropy: 0.9735, recall: 0.6667, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1774, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7635, kappa: 0.5034, kb_relative_information_score: 42.4475, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7711, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9554, scimark_benchmark: 868.2731, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4472, kb_relative_information_score: 13.0586, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6343, root_relative_squared_error: 1.2935, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 31.164, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.831, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6996, kappa: 0.3701, kb_relative_information_score: 34.1535, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7119, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0932, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7099, kappa: 0.3923, kb_relative_information_score: 36.2629, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7269, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0711, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4472, kb_relative_information_score: -0.1823, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 31.164, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.831, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 942.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 926.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 936.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7029, kappa: 0.3763, kb_relative_information_score: 35.1921, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7096, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0351, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 37.6165, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9855, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7371, kappa: 0.4484, kb_relative_information_score: 38.7306, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7492, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0066, scimark_benchmark: 911.3823, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 39.2687, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9608, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7267, kappa: 0.4262, kb_relative_information_score: 39.9722, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7349, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9929, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6322, kappa: 0.2352, kb_relative_information_score: 21.9605, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6322, predictive_accuracy: 0.6322, prior_entropy: 0.9735, recall: 0.6322, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.0881, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.6428, kappa: 0.2556, kb_relative_information_score: 23.7451, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6421, predictive_accuracy: 0.6437, prior_entropy: 0.9735, recall: 0.6437, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0293, scimark_benchmark: 938.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6953, kappa: 0.3607, kb_relative_information_score: 27.8242, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6964, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9237, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6925, kappa: 0.3545, kb_relative_information_score: 28.6093, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6966, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8959, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4472, kb_relative_information_score: -0.1823, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6953, kappa: 0.3607, kb_relative_information_score: 28.8812, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6964, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8597, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.734, kappa: 0.443, kb_relative_information_score: 31.5622, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7538, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8782, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7315, kappa: 0.4371, kb_relative_information_score: 30.6331, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7325, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0244, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4472, kb_relative_information_score: -0.1823, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.001, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7132, kappa: 0.3983, kb_relative_information_score: 28.9823, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7235, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.88, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4472, kb_relative_information_score: 13.0586, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6343, root_relative_squared_error: 1.2935, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 31.164, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.831, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.755, kappa: 0.4885, kb_relative_information_score: 7.8211, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7886, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9304, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.735, kappa: 0.4477, kb_relative_information_score: 28.5315, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7345, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8677, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 32.631, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.81, scimark_benchmark: 1169.6815, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 32.631, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.81, scimark_benchmark: 942.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6782, kappa: 0.3308, kb_relative_information_score: 29.2511, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9735, recall: 0.6782, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.063, scimark_benchmark: 921.2137, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6848, kappa: 0.3392, kb_relative_information_score: 27.626, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6847, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.1025, scimark_benchmark: 938.9865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4472, kb_relative_information_score: 13.0586, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6343, root_relative_squared_error: 1.2935, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7441, kappa: 0.4642, kb_relative_information_score: 40.4819, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7445, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0255, scimark_benchmark: 945.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, build_cpu_time: 0.0162, build_memory: 452123332.5057, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 29.6197, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9093, scimark_benchmark: 928.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, build_cpu_time: 0.0136, build_memory: 793115188.6897, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 29.6197, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9093, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, build_cpu_time: 0.0139, build_memory: 1094925014.3448, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 29.6197, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9093, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, build_cpu_time: 0.0127, build_memory: 1034968470.8966, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 29.6197, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9093, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, build_cpu_time: 0.0026, build_memory: 1306723496, f_measure: 0.7267, kappa: 0.4262, kb_relative_information_score: 34.0486, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7349, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8389, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 0.0035, build_memory: 367027841.3793, f_measure: 0.7267, kappa: 0.4262, kb_relative_information_score: 34.1287, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7349, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.841, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 0.003, build_memory: 94349200.8276, f_measure: 0.7267, kappa: 0.4262, kb_relative_information_score: 34.1287, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7349, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.841, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 0.0036, build_memory: 1462671816.4598, f_measure: 0.7267, kappa: 0.4262, kb_relative_information_score: 34.1287, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7349, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.841, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 0.0056, build_memory: 595782887.1724, f_measure: 0.7267, kappa: 0.4262, kb_relative_information_score: 34.1287, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7349, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.841, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, build_cpu_time: 0.052, build_memory: 543825612.9655, f_measure: 0.6976, kappa: 0.3667, kb_relative_information_score: 31.5008, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6972, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.1025, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, build_cpu_time: 0.0453, build_memory: 31681368.3678, f_measure: 0.6871, kappa: 0.3455, kb_relative_information_score: 30.8362, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6861, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1067, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, build_cpu_time: 0.021, build_memory: 1301043084.4138, f_measure: 0.6871, kappa: 0.3455, kb_relative_information_score: 29.7021, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6861, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1152, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, build_cpu_time: 0.0097, build_memory: 3010918671.7241, f_measure: 0.6871, kappa: 0.3455, kb_relative_information_score: 28.9584, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6861, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1289, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, build_cpu_time: 0.003, build_memory: 1407171567.1724, f_measure: 0.6765, kappa: 0.3245, kb_relative_information_score: 28.0837, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6755, predictive_accuracy: 0.6782, prior_entropy: 0.9735, recall: 0.6782, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5581, root_relative_squared_error: 1.1382, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, build_cpu_time: 0.128, build_memory: 408437825.4713, f_measure: 0.7293, kappa: 0.4317, kb_relative_information_score: 35.948, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7331, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0161, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, build_cpu_time: 0.1616, build_memory: 230126969.931, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 35.2458, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0214, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, build_cpu_time: 0.3055, build_memory: 376744963.954, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 35.4114, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0215, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, build_cpu_time: 0.3482, build_memory: 236528277.6092, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 35.3127, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0235, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, build_cpu_time: 0.3002, build_memory: 350774244.3218, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 35.3127, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0235, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, build_cpu_time: 0.0147, build_memory: 861932070.1609, f_measure: 0.6615, kappa: 0.2903, kb_relative_information_score: 24.5673, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6608, predictive_accuracy: 0.6667, prior_entropy: 0.9735, recall: 0.6667, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5679, root_relative_squared_error: 1.1581, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0123, build_memory: 1579997810.5747, f_measure: 0.6615, kappa: 0.2903, kb_relative_information_score: 25.6768, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6608, predictive_accuracy: 0.6667, prior_entropy: 0.9735, recall: 0.6667, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1442, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, build_cpu_time: 0.0091, build_memory: 311720307.3103, f_measure: 0.6407, kappa: 0.2485, kb_relative_information_score: 23.9187, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6393, predictive_accuracy: 0.6437, prior_entropy: 0.9735, recall: 0.6437, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5545, root_relative_squared_error: 1.1307, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, build_cpu_time: 0.0045, build_memory: 1082019428.4138, f_measure: 0.6744, kappa: 0.318, kb_relative_information_score: 26.8745, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6735, predictive_accuracy: 0.6782, prior_entropy: 0.9735, recall: 0.6782, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0529, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, build_cpu_time: 0.0015, build_memory: 922841336, f_measure: 0.6925, kappa: 0.3545, kb_relative_information_score: 29.8387, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6966, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9667, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.0013, build_memory: 1357832399.4483, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.0014, build_memory: 1079630456, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.0018, build_memory: 565669592.2759, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.0025, build_memory: 421622197.5172, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.0041, build_memory: 1112224808.8276, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, build_cpu_time: 0.1586, build_memory: 1004749780.9655, f_measure: 0.7371, kappa: 0.4484, kb_relative_information_score: 30.0717, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7492, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9034, scimark_benchmark: 943.2074,

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

OpenML bootcamp

From your own software

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

OpenML APIs