OpenML
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 1798 Supervised Classification postoperative-patient-data 299 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

299 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3442, f_measure: 0.5332, kappa: -0.1412, kb_relative_information_score: -79.224, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5176, predictive_accuracy: 0.5511, prior_entropy: 1.0305, recall: 0.5511, relative_absolute_error: 1.1172, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.3428, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3803, f_measure: 0.5911, kb_relative_information_score: -0.4641, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0095, scimark_benchmark: 1333.8751, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.5193, kappa: -0.1768, kb_relative_information_score: -76.9995, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.503, predictive_accuracy: 0.5378, prior_entropy: 1.0305, recall: 0.5378, relative_absolute_error: 1.1124, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.3038, scimark_benchmark: 1206.8386, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1314.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1331.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4273, f_measure: 0.5467, kappa: -0.1388, kb_relative_information_score: -38.6634, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5102, predictive_accuracy: 0.5956, prior_entropy: 1.0305, recall: 0.5956, relative_absolute_error: 1.0582, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.2722, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.5886, kappa: -0.0352, kb_relative_information_score: -11.0475, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5504, predictive_accuracy: 0.6733, prior_entropy: 1.0305, recall: 0.6733, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.0897, scimark_benchmark: 1302.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, f_measure: 0.5421, kappa: -0.1336, kb_relative_information_score: -33.0756, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5215, predictive_accuracy: 0.5667, prior_entropy: 1.0305, recall: 0.5667, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.4314, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3369, f_measure: 0.5661, kappa: -0.0953, kb_relative_information_score: -56.932, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5251, predictive_accuracy: 0.6289, prior_entropy: 1.0305, recall: 0.6289, relative_absolute_error: 1.0722, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.1574, scimark_benchmark: 898.1296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3325, f_measure: 0.5301, kappa: -0.184, kb_relative_information_score: -99.5741, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4925, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.1615, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.3665, scimark_benchmark: 1328.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4303, f_measure: 0.5362, kappa: -0.1529, kb_relative_information_score: -35.5442, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5126, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.4351, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.5936, kappa: 0.0017, kb_relative_information_score: 4.2242, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5599, predictive_accuracy: 0.7067, prior_entropy: 1.0305, recall: 0.7067, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3931, root_relative_squared_error: 1.0469, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.393, f_measure: 0.5813, kappa: -0.0485, kb_relative_information_score: -18.6821, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5355, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4063, root_relative_squared_error: 1.0822, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3853, f_measure: 0.5911, kb_relative_information_score: -0.2316, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3791, root_relative_squared_error: 1.0097, scimark_benchmark: 1328.8457, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3281, f_measure: 0.5461, kappa: -0.1322, kb_relative_information_score: -69.019, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5198, predictive_accuracy: 0.58, prior_entropy: 1.0305, recall: 0.58, relative_absolute_error: 1.0956, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.2559, scimark_benchmark: 1348.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3323, f_measure: 0.579, kappa: -0.0453, kb_relative_information_score: -45.6089, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5005, predictive_accuracy: 0.6867, prior_entropy: 1.0305, recall: 0.6867, relative_absolute_error: 1.0554, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.405, root_relative_squared_error: 1.0785, scimark_benchmark: 1270.2428, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3406, f_measure: 0.57, kappa: -0.0762, kb_relative_information_score: -46.4813, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4966, predictive_accuracy: 0.6689, prior_entropy: 1.0305, recall: 0.6689, relative_absolute_error: 1.0562, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4063, root_relative_squared_error: 1.0821, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 107.4202, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 996.6105, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 840.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4273, f_measure: 0.5467, kappa: -0.1388, kb_relative_information_score: -38.6634, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5102, predictive_accuracy: 0.5956, prior_entropy: 1.0305, recall: 0.5956, relative_absolute_error: 1.0582, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.2722, scimark_benchmark: 1315.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3377, f_measure: 0.5687, kappa: -0.0886, kb_relative_information_score: -55.8829, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5276, predictive_accuracy: 0.6333, prior_entropy: 1.0305, recall: 0.6333, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.434, root_relative_squared_error: 1.1559, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3377, f_measure: 0.5687, kappa: -0.0886, kb_relative_information_score: -55.8829, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5276, predictive_accuracy: 0.6333, prior_entropy: 1.0305, recall: 0.6333, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.434, root_relative_squared_error: 1.1559, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3249, f_measure: 0.5563, kappa: -0.1233, kb_relative_information_score: -71.3901, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5069, predictive_accuracy: 0.6267, prior_entropy: 1.0305, recall: 0.6267, relative_absolute_error: 1.1006, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.1215, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3123, f_measure: 0.5336, kappa: -0.1693, kb_relative_information_score: -81.8384, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4988, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.1196, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.2643, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -11.8471, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0008, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4434, f_measure: 0.5863, kappa: -0.0411, kb_relative_information_score: -82.2881, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.546, predictive_accuracy: 0.6622, prior_entropy: 1.0305, recall: 0.6622, relative_absolute_error: 1.1527, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.085, scimark_benchmark: 1335.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3489, f_measure: 0.5286, kappa: -0.1557, kb_relative_information_score: -81.9413, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5128, predictive_accuracy: 0.5467, prior_entropy: 1.0305, recall: 0.5467, relative_absolute_error: 1.1199, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.3118, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3633, f_measure: 0.5063, kappa: -0.1848, kb_relative_information_score: -91.5528, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4996, predictive_accuracy: 0.5133, prior_entropy: 1.0305, recall: 0.5133, relative_absolute_error: 1.1498, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.3332, scimark_benchmark: 1338.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4377, f_measure: 0.5761, kappa: -0.068, kb_relative_information_score: 5.4788, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5382, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.3041, scimark_benchmark: 1321.8733, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3474, f_measure: 0.5304, kappa: -0.1436, kb_relative_information_score: -81.6833, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5163, predictive_accuracy: 0.5467, prior_entropy: 1.0305, recall: 0.5467, relative_absolute_error: 1.1234, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.355, scimark_benchmark: 1341.8761, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3391, f_measure: 0.5285, kappa: -0.1541, kb_relative_information_score: -81.8341, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5125, predictive_accuracy: 0.5467, prior_entropy: 1.0305, recall: 0.5467, relative_absolute_error: 1.1221, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.3304, scimark_benchmark: 1341.7207, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3346, f_measure: 0.5779, kappa: -0.0493, kb_relative_information_score: -40.5488, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5001, predictive_accuracy: 0.6844, prior_entropy: 1.0305, recall: 0.6844, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4026, root_relative_squared_error: 1.0723, scimark_benchmark: 1341.8761, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.5695, kappa: -0.0808, kb_relative_information_score: -42.4659, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5067, predictive_accuracy: 0.66, prior_entropy: 1.0305, recall: 0.66, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1345.0332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3894, f_measure: 0.532, kappa: -0.089, kb_relative_information_score: -96.424, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5359, predictive_accuracy: 0.5289, prior_entropy: 1.0305, recall: 0.5289, relative_absolute_error: 1.1606, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.3897, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3911, f_measure: 0.4047, kappa: -0.1906, kb_relative_information_score: -225.6056, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4769, predictive_accuracy: 0.36, prior_entropy: 1.0305, recall: 0.36, relative_absolute_error: 1.4004, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.2564, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4717, f_measure: 0.5906, kappa: -0.0101, kb_relative_information_score: -223.9471, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5489, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 1.4056, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.1669, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.5843, kappa: -0.0412, kb_relative_information_score: -10.8932, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5361, predictive_accuracy: 0.6756, prior_entropy: 1.0305, recall: 0.6756, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.0829, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4142, f_measure: 0.5711, kappa: -0.081, kb_relative_information_score: -41.412, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5349, predictive_accuracy: 0.6289, prior_entropy: 1.0305, recall: 0.6289, relative_absolute_error: 1.0609, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.1785, scimark_benchmark: 1339.4189, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.383, f_measure: 0.5824, kappa: -0.0483, kb_relative_information_score: -31.1215, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5344, predictive_accuracy: 0.6733, prior_entropy: 1.0305, recall: 0.6733, relative_absolute_error: 1.0346, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4107, f_measure: 0.5911, kb_relative_information_score: 0.278, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3785, root_relative_squared_error: 1.008, scimark_benchmark: 860.584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4299, f_measure: 0.5911, kb_relative_information_score: 1.0636, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.007, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4182, f_measure: 0.5911, kb_relative_information_score: 1.7215, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3785, root_relative_squared_error: 1.0079, scimark_benchmark: 880.8372, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3447, f_measure: 0.5775, kappa: -0.0498, kb_relative_information_score: -41.366, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5007, predictive_accuracy: 0.6822, prior_entropy: 1.0305, recall: 0.6822, relative_absolute_error: 1.0451, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.0831, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.5896, kappa: -0.0331, kb_relative_information_score: -13.9816, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5519, predictive_accuracy: 0.6689, prior_entropy: 1.0305, recall: 0.6689, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4047, root_relative_squared_error: 1.0778, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3673, f_measure: 0.5863, kappa: -0.0314, kb_relative_information_score: -76.4199, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 1.1355, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.1226, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3658, f_measure: 0.5864, kappa: -0.0374, kb_relative_information_score: -79.886, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5513, predictive_accuracy: 0.6689, prior_entropy: 1.0305, recall: 0.6689, relative_absolute_error: 1.1427, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.1219, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3663, f_measure: 0.5863, kappa: -0.0314, kb_relative_information_score: -82.1098, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 1.1476, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4193, root_relative_squared_error: 1.1168, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3637, f_measure: 0.5851, kappa: -0.0334, kb_relative_information_score: -88.3624, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5477, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.1577, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.1143, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3648, f_measure: 0.5828, kappa: -0.038, kb_relative_information_score: -98.6845, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.536, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 1.1755, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.1165, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.345, f_measure: 0.5787, kappa: -0.0458, kb_relative_information_score: -43.5529, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5012, predictive_accuracy: 0.6844, prior_entropy: 1.0305, recall: 0.6844, relative_absolute_error: 1.0459, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.112, scimark_benchmark: 924.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3259, f_measure: 0.5738, kappa: -0.0704, kb_relative_information_score: -63.6902, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5174, predictive_accuracy: 0.6622, prior_entropy: 1.0305, recall: 0.6622, relative_absolute_error: 1.0856, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4358, root_relative_squared_error: 1.1606, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -9.9187, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0078, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, f_measure: 0.5553, kappa: -0.1234, kb_relative_information_score: -65.2467, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5156, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.1199, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4163, root_relative_squared_error: 1.1088, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4734, f_measure: 0.5843, kappa: -0.0455, kb_relative_information_score: -219.1177, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5408, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.4057, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.2388, scimark_benchmark: 915.9324, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, f_measure: 0.5421, kappa: -0.1336, kb_relative_information_score: -33.0756, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5215, predictive_accuracy: 0.5667, prior_entropy: 1.0305, recall: 0.5667, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.4314, scimark_benchmark: 916.9356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3358, f_measure: 0.5565, kappa: -0.1166, kb_relative_information_score: -61.6116, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5148, predictive_accuracy: 0.6156, prior_entropy: 1.0305, recall: 0.6156, relative_absolute_error: 1.0805, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.1766, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3985, f_measure: 0.5554, kappa: -0.1142, kb_relative_information_score: -48.1911, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5233, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.1907, scimark_benchmark: 1066.7184, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3499, f_measure: 0.5297, kappa: -0.1744, kb_relative_information_score: -80.5838, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5011, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.1175, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.2191, scimark_benchmark: 1346.9602, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4531, f_measure: 0.5651, kappa: -0.07, kb_relative_information_score: -37.4138, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5459, predictive_accuracy: 0.5911, prior_entropy: 1.0305, recall: 0.5911, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.3885, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5886, kappa: -0.0093, kb_relative_information_score: 1.0398, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5054, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0222, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 7.1061, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.9997, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4246, f_measure: 0.5194, kappa: -0.1675, kb_relative_information_score: -66.0927, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5066, predictive_accuracy: 0.5333, prior_entropy: 1.0305, recall: 0.5333, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.4855, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.5675, kappa: -0.0026, kb_relative_information_score: -37.521, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5767, predictive_accuracy: 0.56, prior_entropy: 1.0305, recall: 0.56, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.4424, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3772, f_measure: 0.5403, kappa: -0.1474, kb_relative_information_score: -70.7356, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5136, predictive_accuracy: 0.5733, prior_entropy: 1.0305, recall: 0.5733, relative_absolute_error: 1.1172, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.2697, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.5843, kappa: -0.0455, kb_relative_information_score: 68.5254, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5408, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.2471, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4709, f_measure: 0.5752, kappa: -0.073, kb_relative_information_score: 42.5319, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5334, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.2966, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -11.8471, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0008, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3534, build_cpu_time: 0.1957, build_memory: 270982946.4, f_measure: 0.5507, kappa: -0.1296, kb_relative_information_score: -56.2, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5187, predictive_accuracy: 0.5933, prior_entropy: 1.0305, recall: 0.5933, relative_absolute_error: 1.0672, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.307, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3534, build_cpu_time: 0.1423, build_memory: 769475480, f_measure: 0.5507, kappa: -0.1296, kb_relative_information_score: -56.2, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5187, predictive_accuracy: 0.5933, prior_entropy: 1.0305, recall: 0.5933, relative_absolute_error: 1.0672, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.307, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3534, build_cpu_time: 0.1985, build_memory: 1131862021.6, f_measure: 0.5507, kappa: -0.1296, kb_relative_information_score: -56.2, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5187, predictive_accuracy: 0.5933, prior_entropy: 1.0305, recall: 0.5933, relative_absolute_error: 1.0672, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.307, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3519, build_cpu_time: 0.1274, build_memory: 738994522.4, f_measure: 0.5535, kappa: -0.1234, kb_relative_information_score: -56.6278, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5208, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.3047, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3544, build_cpu_time: 0.0963, build_memory: 798170616, f_measure: 0.5569, kappa: -0.1142, kb_relative_information_score: -53.0208, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5254, predictive_accuracy: 0.6, prior_entropy: 1.0305, recall: 0.6, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.2968, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4299, build_cpu_time: 0.0016, build_memory: 1684143752, f_measure: 0.5722, kappa: -0.0744, kb_relative_information_score: -48.3736, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5156, predictive_accuracy: 0.6578, prior_entropy: 1.0305, recall: 0.6578, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.0955, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4299, build_cpu_time: 0.0012, build_memory: 981006136, f_measure: 0.5722, kappa: -0.0744, kb_relative_information_score: -48.3736, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5156, predictive_accuracy: 0.6578, prior_entropy: 1.0305, recall: 0.6578, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.0955, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4299, build_cpu_time: 0.0023, build_memory: 204267892, f_measure: 0.5722, kappa: -0.0744, kb_relative_information_score: -48.3736, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5156, predictive_accuracy: 0.6578, prior_entropy: 1.0305, recall: 0.6578, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.0955, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4299, build_cpu_time: 0.0025, build_memory: 1226191068, f_measure: 0.5722, kappa: -0.0744, kb_relative_information_score: -48.3736, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5156, predictive_accuracy: 0.6578, prior_entropy: 1.0305, recall: 0.6578, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.0955, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4299, build_cpu_time: 0.0037, build_memory: 239094024, f_measure: 0.5722, kappa: -0.0744, kb_relative_information_score: -48.3736, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5156, predictive_accuracy: 0.6578, prior_entropy: 1.0305, recall: 0.6578, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.0955, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4231, build_cpu_time: 0.0203, build_memory: 105199620.8, f_measure: 0.536, kappa: -0.1195, kb_relative_information_score: -61.2341, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5247, predictive_accuracy: 0.5489, prior_entropy: 1.0305, recall: 0.5489, relative_absolute_error: 1.0716, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.4283, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4248, build_cpu_time: 0.0111, build_memory: 2660812556.8, f_measure: 0.5368, kappa: -0.121, kb_relative_information_score: -59.8827, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5243, predictive_accuracy: 0.5511, prior_entropy: 1.0305, recall: 0.5511, relative_absolute_error: 1.0685, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.4238, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4317, build_cpu_time: 0.004, build_memory: 3168501968, f_measure: 0.5397, kappa: -0.1169, kb_relative_information_score: -58.4462, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.526, predictive_accuracy: 0.5556, prior_entropy: 1.0305, recall: 0.5556, relative_absolute_error: 1.0656, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.533, root_relative_squared_error: 1.4194, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4354, build_cpu_time: 0.0035, build_memory: 1543926624, f_measure: 0.5413, kappa: -0.1141, kb_relative_information_score: -57.1951, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.527, predictive_accuracy: 0.5578, prior_entropy: 1.0305, recall: 0.5578, relative_absolute_error: 1.0626, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.4148, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4385, build_cpu_time: 0.0019, build_memory: 1241094723.2, f_measure: 0.5382, kappa: -0.1225, kb_relative_information_score: -58.4535, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5232, predictive_accuracy: 0.5556, prior_entropy: 1.0305, recall: 0.5556, relative_absolute_error: 1.0643, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5304, root_relative_squared_error: 1.4127, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3908, build_cpu_time: 0.0697, build_memory: 1118560524, f_measure: 0.5316, kappa: -0.1682, kb_relative_information_score: -48.7854, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5044, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.043, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.3163, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3872, build_cpu_time: 0.1166, build_memory: 2148914909.6, f_measure: 0.5281, kappa: -0.177, kb_relative_information_score: -50.2009, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5015, predictive_accuracy: 0.56, prior_entropy: 1.0305, recall: 0.56, relative_absolute_error: 1.0461, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.3195, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3855, build_cpu_time: 0.1513, build_memory: 1372825009.6, f_measure: 0.5309, kappa: -0.1713, kb_relative_information_score: -50.3123, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5034, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.0472, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.496, root_relative_squared_error: 1.3211, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3855, build_cpu_time: 0.151, build_memory: 703350068, f_measure: 0.5309, kappa: -0.1713, kb_relative_information_score: -50.3123, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5034, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.0472, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.496, root_relative_squared_error: 1.3211, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3855, build_cpu_time: 0.1373, build_memory: 1237561101.6, f_measure: 0.5309, kappa: -0.1713, kb_relative_information_score: -50.3123, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5034, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.0472, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.496, root_relative_squared_error: 1.3211, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3441, build_cpu_time: 0.0044, build_memory: 161369516.8, f_measure: 0.5515, kappa: -0.1297, kb_relative_information_score: -103.1654, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5172, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.1867, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4374, root_relative_squared_error: 1.1648, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3441, build_cpu_time: 0.0026, build_memory: 453181520, f_measure: 0.5515, kappa: -0.1297, kb_relative_information_score: -103.1654, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5172, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.1867, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4374, root_relative_squared_error: 1.1648, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3441, build_cpu_time: 0.0011, build_memory: 1069988560, f_measure: 0.5515, kappa: -0.1297, kb_relative_information_score: -103.1654, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5172, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.1867, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4374, root_relative_squared_error: 1.1648, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3441, build_cpu_time: 0.0011, build_memory: 287036201.6, f_measure: 0.5515, kappa: -0.1297, kb_relative_information_score: -103.1654, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5172, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.1867, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4374, root_relative_squared_error: 1.1648, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, build_cpu_time: 0.0009, build_memory: 586470020.8, f_measure: 0.5515, kappa: -0.1297, kb_relative_information_score: -105.7511, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5172, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.192, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.164, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3625, build_cpu_time: 0.0018, build_memory: 466619808, f_measure: 0.5267, kappa: -0.1509, kb_relative_information_score: -80.4663, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5146, predictive_accuracy: 0.54, prior_entropy: 1.0305, recall: 0.54, relative_absolute_error: 1.1276, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.3459, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3664, build_cpu_time: 0.0027, build_memory: 533843304, f_measure: 0.5241, kappa: -0.1489, kb_relative_information_score: -79.9799, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5154, predictive_accuracy: 0.5333, prior_entropy: 1.0305, recall: 0.5333, relative_absolute_error: 1.125, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.3523, 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