Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 42 Supervised Classification haberman 973 runs submitted
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  • basic ComplexWorkflows mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, build_cpu_time: 0.5781, build_memory: 1457010261.3072, f_measure: 0.6596, kappa: 0.0937, kb_relative_information_score: 24.1397, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6486, predictive_accuracy: 0.6765, prior_entropy: 0.836, recall: 0.6765, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2573, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, build_cpu_time: 0.2858, build_memory: 524867107.5817, f_measure: 0.6645, kappa: 0.1043, kb_relative_information_score: 35.3308, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6532, predictive_accuracy: 0.683, prior_entropy: 0.836, recall: 0.683, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.2233, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, build_cpu_time: 0.1254, build_memory: 569830636.0784, f_measure: 0.6983, kappa: 0.1868, kb_relative_information_score: 58.7625, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6905, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1633, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, build_cpu_time: 0.1244, build_memory: 1344582072.0784, f_measure: 0.7093, kappa: 0.22, kb_relative_information_score: 69.9661, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7023, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.1335, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, build_cpu_time: 0.4737, build_memory: 571124205.8824, f_measure: 0.6786, kappa: 0.1237, kb_relative_information_score: 24.1457, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6737, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9619, scimark_benchmark: 940.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, build_cpu_time: 0.857, build_memory: 1023565352.2614, f_measure: 0.6838, kappa: 0.1382, kb_relative_information_score: 25.5866, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6799, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9594, scimark_benchmark: 947.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, build_cpu_time: 0.1787, build_memory: 828757023.085, f_measure: 0.6941, kappa: 0.1703, kb_relative_information_score: 21.9288, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6879, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9815, scimark_benchmark: 927.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, build_cpu_time: 0.0544, build_memory: 486619978.902, f_measure: 0.6989, kappa: 0.1839, kb_relative_information_score: 20.9764, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6932, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9831, scimark_benchmark: 937.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, build_cpu_time: 0.0518, build_memory: 717424723.8693, f_measure: 0.6989, kappa: 0.1839, kb_relative_information_score: 19.5307, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6932, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9863, scimark_benchmark: 911.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, build_cpu_time: 0.0228, build_memory: 1031531160.6013, f_measure: 0.6989, kappa: 0.1839, kb_relative_information_score: 16.2587, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6932, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9987, scimark_benchmark: 942.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, build_cpu_time: 0.0009, build_memory: 120451905.5686, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539, scimark_benchmark: 920.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, build_cpu_time: 0.0011, build_memory: 29679360.8627, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539, scimark_benchmark: 932.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, build_cpu_time: 0.001, build_memory: 146413353.098, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539, scimark_benchmark: 945.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, build_cpu_time: 0.0013, build_memory: 31377733.9869, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539, scimark_benchmark: 916.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.6652, kappa: 0.1165, kb_relative_information_score: 21.6353, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6569, predictive_accuracy: 0.6765, prior_entropy: 0.836, recall: 0.6765, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.1376, scimark_benchmark: 595.3639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.6886, kappa: 0.1505, kb_relative_information_score: 23.1531, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7082, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0243, scimark_benchmark: 863.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7074, kappa: 0.2131, kb_relative_information_score: 13.5009, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9722, scimark_benchmark: 941.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.6813, kappa: 0.1576, kb_relative_information_score: 37.4029, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6734, predictive_accuracy: 0.6928, prior_entropy: 0.836, recall: 0.6928, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.2253, scimark_benchmark: 898.0649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7164, kappa: 0.2277, kb_relative_information_score: 6.0498, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7215, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9706, scimark_benchmark: 594.2129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.6685, kappa: 0.1311, kb_relative_information_score: 26.4651, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6623, predictive_accuracy: 0.6765, prior_entropy: 0.836, recall: 0.6765, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.568, root_relative_squared_error: 1.2875, scimark_benchmark: 594.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.6657, kappa: 0.0884, kb_relative_information_score: 21.2525, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6564, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9679, scimark_benchmark: 595.2829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7074, kappa: 0.2131, kb_relative_information_score: 13.8806, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9723, scimark_benchmark: 896.3774,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7074, kappa: 0.2131, kb_relative_information_score: 13.6246, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9721, scimark_benchmark: 923.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.7088, kappa: 0.2062, kb_relative_information_score: 91.0023, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7156, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4803, root_relative_squared_error: 1.0886, scimark_benchmark: 891.5983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6838, kappa: 0.163, kb_relative_information_score: 9.7857, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6757, predictive_accuracy: 0.6961, prior_entropy: 0.836, recall: 0.6961, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0339, scimark_benchmark: 949.5978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.6889, kappa: 0.1526, kb_relative_information_score: 11.5327, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.686, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4468, root_relative_squared_error: 1.0127, scimark_benchmark: 861.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.7014, kappa: 0.19, kb_relative_information_score: 69.9965, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6968, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0714, scimark_benchmark: 885.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7138, kappa: 0.2192, kb_relative_information_score: 39.7546, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7261, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9844, scimark_benchmark: 939.0773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6964, kappa: 0.173, kb_relative_information_score: 10.808, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6961, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9711, scimark_benchmark: 944.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.6527, kappa: 0.0587, kb_relative_information_score: 2.282, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6693, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4499, root_relative_squared_error: 1.0198, scimark_benchmark: 941.7818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.6727, kappa: 0.1434, kb_relative_information_score: 17.2866, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.667, predictive_accuracy: 0.6797, prior_entropy: 0.836, recall: 0.6797, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0819, scimark_benchmark: 945.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6868, kappa: 0.1524, kb_relative_information_score: 56.991, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6779, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.1599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.6871, kappa: 0.1669, kb_relative_information_score: 17.5151, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6782, predictive_accuracy: 0.7026, prior_entropy: 0.836, recall: 0.7026, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0693, scimark_benchmark: 917.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6978, kappa: 0.1882, kb_relative_information_score: 5.6933, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6895, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9886, scimark_benchmark: 889.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, f_measure: 0.6841, kappa: 0.1486, kb_relative_information_score: 10.5747, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6741, predictive_accuracy: 0.7092, prior_entropy: 0.836, recall: 0.7092, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0876, scimark_benchmark: 923.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7093, kappa: 0.22, kb_relative_information_score: 34.7441, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7023, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9918, scimark_benchmark: 935.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.6809, kappa: 0.1298, kb_relative_information_score: 14.2379, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6779, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.989, scimark_benchmark: 936.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.6814, kappa: 0.1321, kb_relative_information_score: 6.697, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6759, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.0005, scimark_benchmark: 936.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.699, kappa: 0.1824, kb_relative_information_score: 25.5817, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6952, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9588, scimark_benchmark: 930.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.6826, kappa: 0.1336, kb_relative_information_score: 72.1204, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6852, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.089, scimark_benchmark: 945.2812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7012, kappa: 0.1914, kb_relative_information_score: 26.113, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.695, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9603, scimark_benchmark: 942.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6887, kappa: 0.1619, kb_relative_information_score: 10.8448, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6794, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9786, scimark_benchmark: 928.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.6685, kappa: 0.1311, kb_relative_information_score: 26.4745, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6623, predictive_accuracy: 0.6765, prior_entropy: 0.836, recall: 0.6765, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.568, root_relative_squared_error: 1.2875, scimark_benchmark: 935.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, f_measure: 0.6691, kappa: 0.1401, kb_relative_information_score: 25.7345, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6654, predictive_accuracy: 0.6732, prior_entropy: 0.836, recall: 0.6732, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5631, root_relative_squared_error: 1.2763,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.6347, kappa: 0.0227, kb_relative_information_score: 67.5946, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6753, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1014, scimark_benchmark: 906.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 20.6475, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9632, scimark_benchmark: 895.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.6809, kappa: 0.1298, kb_relative_information_score: 14.2379, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6779, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.7062, kappa: 0.1984, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7151, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137, scimark_benchmark: 940.1708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.6573, kappa: 0.1129, kb_relative_information_score: 10.705, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6547, predictive_accuracy: 0.6601, prior_entropy: 0.836, recall: 0.6601, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.263, scimark_benchmark: 922.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7211, kappa: 0.2422, kb_relative_information_score: 83.4441, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7229, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.0489, scimark_benchmark: 944.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6917, kappa: 0.1625, kb_relative_information_score: 29.1977, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6859, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0096, scimark_benchmark: 942.4069,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.6533, kappa: 0.1008, kb_relative_information_score: 3.4982, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.65, predictive_accuracy: 0.6569, prior_entropy: 0.836, recall: 0.6569, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.3162, scimark_benchmark: 930.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6101, f_measure: 0.6467, kappa: 0.0708, kb_relative_information_score: 15.64, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6387, predictive_accuracy: 0.6569, prior_entropy: 0.836, recall: 0.6569, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.2894, scimark_benchmark: 939.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7058, kappa: 0.197, kb_relative_information_score: 38.9674, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7206, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -0.3553, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6758, kappa: 0.1357, kb_relative_information_score: 17.4899, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6658, predictive_accuracy: 0.6928, prior_entropy: 0.836, recall: 0.6928, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0732, scimark_benchmark: 940.2306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -0.3553, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001, scimark_benchmark: 945.2119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6915, kappa: 0.166, kb_relative_information_score: 24.1628, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6832, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0824, scimark_benchmark: 945.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.6401, kappa: 0.0665, kb_relative_information_score: 6.7501, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6367, predictive_accuracy: 0.6438, prior_entropy: 0.836, recall: 0.6438, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0926, scimark_benchmark: 857.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.7219, kappa: 0.2652, kb_relative_information_score: 22.8218, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7161, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9631, scimark_benchmark: 923.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6763, kappa: 0.1337, kb_relative_information_score: 40.2021, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6658, predictive_accuracy: 0.6961, prior_entropy: 0.836, recall: 0.6961, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.1711, scimark_benchmark: 938.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.6856, kappa: 0.1422, kb_relative_information_score: 20.9469, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6869, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9577, scimark_benchmark: 945.4718,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6685, kappa: 0.1311, kb_relative_information_score: 23.49, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6623, predictive_accuracy: 0.6765, prior_entropy: 0.836, recall: 0.6765, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0995, scimark_benchmark: 864.0533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.6953, kappa: 0.1824, kb_relative_information_score: 23.1206, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6866, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1824, scimark_benchmark: 894.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6691, kappa: 0.1401, kb_relative_information_score: 21.4925, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6654, predictive_accuracy: 0.6732, prior_entropy: 0.836, recall: 0.6732, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.1617, scimark_benchmark: 943.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7185, kappa: 0.2358, kb_relative_information_score: 29.341, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7187, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9668, scimark_benchmark: 943.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.6691, kappa: 0.1401, kb_relative_information_score: 25.6904, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6654, predictive_accuracy: 0.6732, prior_entropy: 0.836, recall: 0.6732, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5631, root_relative_squared_error: 1.2764, scimark_benchmark: 889.1489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6862, kappa: 0.1562, kb_relative_information_score: 40.4371, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6765, predictive_accuracy: 0.7092, prior_entropy: 0.836, recall: 0.7092, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.047, scimark_benchmark: 922.3668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.6691, kappa: 0.1401, kb_relative_information_score: 25.7562, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6654, predictive_accuracy: 0.6732, prior_entropy: 0.836, recall: 0.6732, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.563, root_relative_squared_error: 1.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6893, kappa: 0.1565, kb_relative_information_score: 65.931, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6824, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4922, root_relative_squared_error: 1.1157, scimark_benchmark: 944.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7093, kappa: 0.22, kb_relative_information_score: 34.7441, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7023, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9918, scimark_benchmark: 931.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7074, kappa: 0.2131, kb_relative_information_score: 12.0697, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9721, scimark_benchmark: 930.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6758, kappa: 0.1357, kb_relative_information_score: 17.4899, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6658, predictive_accuracy: 0.6928, prior_entropy: 0.836, recall: 0.6928, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0732, scimark_benchmark: 939.2757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6685, kappa: 0.1311, kb_relative_information_score: 23.49, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6623, predictive_accuracy: 0.6765, prior_entropy: 0.836, recall: 0.6765, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0995, scimark_benchmark: 941.4253,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6855, kappa: 0.1701, kb_relative_information_score: 42.0859, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6781, predictive_accuracy: 0.6961, prior_entropy: 0.836, recall: 0.6961, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5457, root_relative_squared_error: 1.2369, scimark_benchmark: 935.0564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.6393, kappa: 0.056, kb_relative_information_score: -1.2099, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6327, predictive_accuracy: 0.6471, prior_entropy: 0.836, recall: 0.6471, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.3082, scimark_benchmark: 921.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.6419, kappa: 0.0402, kb_relative_information_score: 67.3582, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7036, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0966, scimark_benchmark: 924.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.6912, kappa: 0.1677, kb_relative_information_score: 56.7933, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6823, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1628, scimark_benchmark: 938.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6558, kappa: 0.1057, kb_relative_information_score: 9.6132, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.652, predictive_accuracy: 0.6601, prior_entropy: 0.836, recall: 0.6601, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.3016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.6711, kappa: 0.1363, kb_relative_information_score: 22.1483, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6644, predictive_accuracy: 0.6797, prior_entropy: 0.836, recall: 0.6797, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.1225, scimark_benchmark: 947.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.6961, kappa: 0.1712, kb_relative_information_score: 24.547, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6993, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9733, scimark_benchmark: 929.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6985, kappa: 0.1776, kb_relative_information_score: 86.2217, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7042, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.0758, scimark_benchmark: 926.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6794, kappa: 0.1609, kb_relative_information_score: 31.6909, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6739, predictive_accuracy: 0.6863, prior_entropy: 0.836, recall: 0.6863, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.2223, scimark_benchmark: 907.9146,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6819, kappa: 0.1662, kb_relative_information_score: 32.4872, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.676, predictive_accuracy: 0.6895, prior_entropy: 0.836, recall: 0.6895, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.2197, scimark_benchmark: 943.4201,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6987, kappa: 0.1854, kb_relative_information_score: 15.562, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6917, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9799, scimark_benchmark: 929.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7138, kappa: 0.2192, kb_relative_information_score: 41.9146, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7261, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9828, scimark_benchmark: 940.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6347, kappa: 0.0227, kb_relative_information_score: 68.8298, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6753, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.1001, scimark_benchmark: 947.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6552, kappa: 0.096, kb_relative_information_score: 11.8, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6485, predictive_accuracy: 0.6634, prior_entropy: 0.836, recall: 0.6634, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.2892, scimark_benchmark: 947.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.6435, kappa: 0.0686, kb_relative_information_score: 0.0968, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6376, predictive_accuracy: 0.6503, prior_entropy: 0.836, recall: 0.6503, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5789, root_relative_squared_error: 1.3123, scimark_benchmark: 947.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.6711, kappa: 0.1363, kb_relative_information_score: 29.3332, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6644, predictive_accuracy: 0.6797, prior_entropy: 0.836, recall: 0.6797, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5631, root_relative_squared_error: 1.2764, scimark_benchmark: 921.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.7054, kappa: 0.206, kb_relative_information_score: 14.8225, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6986, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9775, scimark_benchmark: 918.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.6819, kappa: 0.1662, kb_relative_information_score: 32.4786, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.676, predictive_accuracy: 0.6895, prior_entropy: 0.836, recall: 0.6895, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.2201, scimark_benchmark: 945.3909,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs