OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 145976 Supervised Classification diabetes 67074 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7444, kappa: 0.4261, kb_relative_information_score: 193.4142, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8492, scimark_benchmark: 1743.9277, usercpu_time_millis: 0.524, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 203.7016, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.842, scimark_benchmark: 1859.4881, usercpu_time_millis: 1.911, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7559, kappa: 0.4543, kb_relative_information_score: 243.7783, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8266, scimark_benchmark: 1854.2281, usercpu_time_millis: 1.459, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7422, kappa: 0.4191, kb_relative_information_score: 151.9298, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8696, scimark_benchmark: 1964.2446, usercpu_time_millis: 1.549, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7678, kappa: 0.4819, kb_relative_information_score: 249.2862, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8274, scimark_benchmark: 1743.2224, usercpu_time_millis: 6.485, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 5.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7672, kappa: 0.4801, kb_relative_information_score: 238.6159, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 1815.609, usercpu_time_millis: 5.286, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 4.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 205.7648, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8539, scimark_benchmark: 1751.8334, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.736, kappa: 0.4055, kb_relative_information_score: 150.8167, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8736, scimark_benchmark: 2145.101, usercpu_time_millis: 1.452, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 248.9909, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8326, scimark_benchmark: 1883.5581, usercpu_time_millis: 6.811, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 6.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 251.4069, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 1735.1755, usercpu_time_millis: 3.012, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 2.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7642, kappa: 0.4719, kb_relative_information_score: 205.7376, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.842, scimark_benchmark: 1741.5952, usercpu_time_millis: 2.7, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.5269, kappa: 0.0189, kb_relative_information_score: 65.8934, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6753, predictive_accuracy: 0.6549, prior_entropy: 0.9335, recall: 0.6549, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9378, scimark_benchmark: 1743.0184, usercpu_time_millis: 0.705, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7639, kappa: 0.4722, kb_relative_information_score: 245.1009, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1742.9568, usercpu_time_millis: 3.434, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 3.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7615, kappa: 0.4659, kb_relative_information_score: 218.8567, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8326, scimark_benchmark: 1743.0184, usercpu_time_millis: 3.279, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 2.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7568, kappa: 0.4573, kb_relative_information_score: 241.1532, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7562, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8276, scimark_benchmark: 1082.5604, usercpu_time_millis: 5.444, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 4.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.1836, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1736.691, usercpu_time_millis: 1.478, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7585, kappa: 0.4589, kb_relative_information_score: 220.3696, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835, scimark_benchmark: 1779.0878, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7164, kappa: 0.362, kb_relative_information_score: 146.2604, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7195, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8909, scimark_benchmark: 1733.9208, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 259.0117, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8273, scimark_benchmark: 1403.1263, usercpu_time_millis: 3.78, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 3.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7506, kappa: 0.4454, kb_relative_information_score: 246.3593, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7493, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.407, root_relative_squared_error: 0.854, scimark_benchmark: 1446.4777, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 247.9382, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.827, scimark_benchmark: 1441.4643, usercpu_time_millis: 6.298, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 5.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 251.474, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1423.6629, usercpu_time_millis: 9.589, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 8.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.746, kappa: 0.4407, kb_relative_information_score: 259.3023, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7459, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.875, scimark_benchmark: 1376.5167, usercpu_time_millis: 21.012, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 19.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 257.6084, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8309, scimark_benchmark: 1368.8117, usercpu_time_millis: 4.96, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 4.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1936, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1375.2025, usercpu_time_millis: 1.464, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.2082, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1368.0533, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7356, kappa: 0.4098, kb_relative_information_score: 181.647, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7344, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8662, scimark_benchmark: 1373.7516, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 211.6466, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8429, scimark_benchmark: 1376.9283, usercpu_time_millis: 6.914, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 5.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7627, kappa: 0.4697, kb_relative_information_score: 242.9235, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.826, scimark_benchmark: 1376.6323, usercpu_time_millis: 2.239, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 2.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1222, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1377.1338, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7583, kappa: 0.4593, kb_relative_information_score: 240.441, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1373.2488, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7296, kappa: 0.3915, kb_relative_information_score: 152.2688, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7344, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8771, scimark_benchmark: 1390.7243, usercpu_time_millis: 1.152, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.6993, kappa: 0.3268, kb_relative_information_score: 124.1583, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.888, scimark_benchmark: 1379.0978, usercpu_time_millis: 2.388, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0332, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1375.2517, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.1348, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1372.3655, usercpu_time_millis: 0.811, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7627, kappa: 0.4697, kb_relative_information_score: 240.7158, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8305, scimark_benchmark: 1376.5282, usercpu_time_millis: 4.29, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 3.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7594, kappa: 0.4645, kb_relative_information_score: 256.6461, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1378.4631, usercpu_time_millis: 2.215, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7703, kappa: 0.489, kb_relative_information_score: 253.6691, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7693, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1376.1696, usercpu_time_millis: 4.332, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 3.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 244.4123, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.763, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1375.4939, usercpu_time_millis: 1.933, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 246.563, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1373.9491, usercpu_time_millis: 10.528, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 9.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7294, kappa: 0.3966, kb_relative_information_score: 180.6723, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7279, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 1373.5935, usercpu_time_millis: 2.577, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7717, kappa: 0.4924, kb_relative_information_score: 256.2456, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7708, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8305, scimark_benchmark: 1381.2078, usercpu_time_millis: 5.153, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 4.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7727, kappa: 0.4959, kb_relative_information_score: 257.8433, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8381, scimark_benchmark: 1377.0572, usercpu_time_millis: 8.447, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 7.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5134, kb_relative_information_score: -0.1523, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1376.9702, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.1708, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1358.6459, usercpu_time_millis: 0.107, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.766, kappa: 0.4776, kb_relative_information_score: 247.6217, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7657, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8266, scimark_benchmark: 1382.3099, usercpu_time_millis: 3.527, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 3.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 235.6059, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1379.9051, usercpu_time_millis: 2.475, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.756, kappa: 0.4504, kb_relative_information_score: 171.944, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.856, scimark_benchmark: 1381.031, usercpu_time_millis: 3.32, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 2.898,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7339, kappa: 0.4008, kb_relative_information_score: 152.4654, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7428, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8712, scimark_benchmark: 1380.8327, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7545, kappa: 0.4479, kb_relative_information_score: 185.9817, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8488, scimark_benchmark: 1376.1698, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7517, kappa: 0.4406, kb_relative_information_score: 167.9357, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8588, scimark_benchmark: 1380.4388, usercpu_time_millis: 2.539, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 253.829, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 1375.3115, usercpu_time_millis: 3.578, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: 0.2635, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1380.8669, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 251.0788, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321, scimark_benchmark: 1384.0213, usercpu_time_millis: 3.17, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7672, kappa: 0.4801, kb_relative_information_score: 240.9755, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1371.3537, usercpu_time_millis: 5.874, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 5.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7384, kappa: 0.4245, kb_relative_information_score: 259.4878, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8842, scimark_benchmark: 1375.3224, usercpu_time_millis: 12.764, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 11.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5134, kb_relative_information_score: 0.0485, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1375.4485, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 0.0036, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1371.6048, usercpu_time_millis: 0.511, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.1987, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1381.7153, usercpu_time_millis: 0.333, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: -0.5247, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001, scimark_benchmark: 1382.0618, usercpu_time_millis: 0.124, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7525, kappa: 0.4443, kb_relative_information_score: 194.2078, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8463, scimark_benchmark: 1375.4638, usercpu_time_millis: 1.838, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7741, kappa: 0.4974, kb_relative_information_score: 252.0431, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8263, scimark_benchmark: 1374.5349, usercpu_time_millis: 8.495, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 7.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7642, kappa: 0.4719, kb_relative_information_score: 230.8669, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8286, scimark_benchmark: 1372.5749, usercpu_time_millis: 3.393, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 3.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7593, kappa: 0.4604, kb_relative_information_score: 224.2129, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1376.5928, usercpu_time_millis: 2.641, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 2.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7546, kappa: 0.4504, kb_relative_information_score: 215.1228, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1375.4314, usercpu_time_millis: 2.389, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7645, kappa: 0.4728, kb_relative_information_score: 235.931, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1383.0208, usercpu_time_millis: 2.424, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 2.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 239.8511, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1373.3891, usercpu_time_millis: 3.294, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7684, kappa: 0.4826, kb_relative_information_score: 243.8656, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1381.2746, usercpu_time_millis: 2.767, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7612, kappa: 0.4649, kb_relative_information_score: 219.9332, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, scimark_benchmark: 1371.8349, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.6817, kappa: 0.2905, kb_relative_information_score: 117.0464, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7366, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8934, scimark_benchmark: 1379.2737, usercpu_time_millis: 0.764, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.6358, kappa: 0.2048, kb_relative_information_score: 102.7275, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9057, scimark_benchmark: 1375.5787, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7468, kappa: 0.4305, kb_relative_information_score: 177.6411, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7518, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8549, scimark_benchmark: 1383.6514, usercpu_time_millis: 2.796, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 2.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.7218, kappa: 0.3742, kb_relative_information_score: 146.8715, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7254, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9006, scimark_benchmark: 1384.2423, usercpu_time_millis: 2.467, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7574, kappa: 0.4592, kb_relative_information_score: 247.8948, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8303, scimark_benchmark: 1378.1196, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7464, kappa: 0.4301, kb_relative_information_score: 179.5239, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555, scimark_benchmark: 1378.0884, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 2.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 228.1087, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1377.6083, usercpu_time_millis: 4.704, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.6285, kappa: 0.1882, kb_relative_information_score: 96.9286, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7202, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9105, scimark_benchmark: 1368.1343, usercpu_time_millis: 0.826, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7538, kappa: 0.4489, kb_relative_information_score: 237.5288, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1376.2201, usercpu_time_millis: 4.939, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 4.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7733, kappa: 0.4947, kb_relative_information_score: 239.2553, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1381.9884, usercpu_time_millis: 10.545, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 9.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7603, kappa: 0.4615, kb_relative_information_score: 201.8971, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8398, scimark_benchmark: 1378.454, usercpu_time_millis: 1.206, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 233.5252, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1371.242, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7688, kappa: 0.4856, kb_relative_information_score: 256.0973, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7679, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1377.5118, usercpu_time_millis: 7.834, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 7.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0073, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1369.8462, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7334, kappa: 0.4002, kb_relative_information_score: 166.6067, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7389, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8636, scimark_benchmark: 1376.3931, usercpu_time_millis: 2.08, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.758, kappa: 0.4583, kb_relative_information_score: 231.5905, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1373.2058, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7455, kappa: 0.4292, kb_relative_information_score: 196.584, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8506, scimark_benchmark: 1374.2059, usercpu_time_millis: 3.097, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 223.8886, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, scimark_benchmark: 1372.74, usercpu_time_millis: 3.337, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7565, kappa: 0.4549, kb_relative_information_score: 206.9898, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8435, scimark_benchmark: 1372.678, usercpu_time_millis: 7.713, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 6.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 0.0019, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1362.5616, usercpu_time_millis: 1.244, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 200.3177, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1370.7317, usercpu_time_millis: 3.7, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 3.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 255.2051, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8254, scimark_benchmark: 1375.8733, usercpu_time_millis: 3.844, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 3.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7643, kappa: 0.4766, kb_relative_information_score: 253.6442, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1375.6717, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7565, kappa: 0.452, kb_relative_information_score: 186.7722, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8477, scimark_benchmark: 1375.4841, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 220.0956, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835, scimark_benchmark: 1382.2245, usercpu_time_millis: 3.005, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 212.3393, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8435, scimark_benchmark: 1375.4261, usercpu_time_millis: 3.206, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7432, kappa: 0.4213, kb_relative_information_score: 151.3132, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7564, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8705, scimark_benchmark: 1373.0026, usercpu_time_millis: 0.753, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7419, kappa: 0.419, kb_relative_information_score: 173.8153, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8544, scimark_benchmark: 1376.232, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7153, kappa: 0.3593, kb_relative_information_score: 134.8441, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7417, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8815, scimark_benchmark: 1381.0017, usercpu_time_millis: 1.569, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7565, kappa: 0.4563, kb_relative_information_score: 232.9116, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8517, scimark_benchmark: 1373.649, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.053,

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