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Function: require_once

OpenML
OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131649 runs submitted
0 likes downloaded by 11 people , 15 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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131649 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, build_cpu_time: 9.204, build_memory: 231818489.8542, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 247.0215, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 945.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, build_cpu_time: 1.2215, build_memory: 385211087.4792, f_measure: 0.7594, kappa: 0.4645, kb_relative_information_score: 261.4701, mean_absolute_error: 0.303, 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: 0.6666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359, scimark_benchmark: 946.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, build_cpu_time: 0.6511, build_memory: 167738287.125, f_measure: 0.7573, kappa: 0.4606, kb_relative_information_score: 262.7925, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 941.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, build_cpu_time: 0.4004, build_memory: 1578254280.4167, f_measure: 0.7553, kappa: 0.4552, kb_relative_information_score: 262.8495, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8397, scimark_benchmark: 910.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 0.1864, build_memory: 469541571.375, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 264.2527, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 945.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 264.2527, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.0234, build_memory: 28783375.7917, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 943.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.0076, build_memory: 94950925.6563, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 938.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.0111, build_memory: 316845425.1563, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 941.8538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.7414, kappa: 0.427, kb_relative_information_score: 314.5795, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7592, kappa: 0.4622, kb_relative_information_score: 257.9206, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8505, scimark_benchmark: 899.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 254.5861, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8282, scimark_benchmark: 595.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7522, kappa: 0.4513, kb_relative_information_score: 331.8998, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7511, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0184, scimark_benchmark: 918.1775,
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: 0.6551, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 596.7251,
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: 0.8156, f_measure: 0.7591, kappa: 0.4649, kb_relative_information_score: 280.0558, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.878, scimark_benchmark: 595.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7403, kappa: 0.423, kb_relative_information_score: 316.435, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7389, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9646, scimark_benchmark: 896.1742,
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: 0.8143, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 254.6969, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8562, scimark_benchmark: 947.9274,
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: 0.7819, f_measure: 0.7127, kappa: 0.3526, kb_relative_information_score: 167.0349, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7265, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.687, kappa: 0.2946, kb_relative_information_score: 209.9406, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6956, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9581, scimark_benchmark: 929.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7497, kappa: 0.4409, kb_relative_information_score: 329.9107, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7491, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9538, scimark_benchmark: 923.9245,
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: 0.8111, f_measure: 0.7507, kappa: 0.4479, kb_relative_information_score: 267.8873, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7496, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8737, scimark_benchmark: 925.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7315, kappa: 0.4041, kb_relative_information_score: 269.1919, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.73, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 936.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7598, kappa: 0.4642, kb_relative_information_score: 352.5398, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7591, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0127, scimark_benchmark: 929.0467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7553, kappa: 0.4552, kb_relative_information_score: 253.9609, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8613, scimark_benchmark: 942.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7251, kappa: 0.39, kb_relative_information_score: 271.0085, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7235, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.478, root_relative_squared_error: 1.003, scimark_benchmark: 932.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7588, kappa: 0.464, kb_relative_information_score: 268.2671, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7576, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8326, scimark_benchmark: 930.0714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7465, kappa: 0.4402, kb_relative_information_score: 323.8293, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0079, scimark_benchmark: 888.2601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7705, kappa: 0.4919, kb_relative_information_score: 355.9748, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9464, scimark_benchmark: 932.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.7038, kappa: 0.3444, kb_relative_information_score: 250.2635, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7024, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.1381, scimark_benchmark: 905.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 939.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 931.434,
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: 0.6741, f_measure: 0.664, kappa: 0.2444, kb_relative_information_score: 182.8511, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6625, predictive_accuracy: 0.6784, prior_entropy: 0.9335, recall: 0.6784, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0946, scimark_benchmark: 946.1651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7584, kappa: 0.457, kb_relative_information_score: 260.4285, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8829, scimark_benchmark: 945.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7109, kappa: 0.3552, kb_relative_information_score: 217.4307, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7089, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9209, scimark_benchmark: 926.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7571, kappa: 0.4568, kb_relative_information_score: 249.6671, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.827, scimark_benchmark: 929.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 308.7158, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0217, scimark_benchmark: 925.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7474, kappa: 0.4376, kb_relative_information_score: 246.4961, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7461, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8736, scimark_benchmark: 940.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 270.7828, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 931.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 925.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7415, kappa: 0.4237, kb_relative_information_score: 303.3968, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7402, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9523, scimark_benchmark: 949.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 253.4157, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8269, scimark_benchmark: 948.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6988, kappa: 0.3363, kb_relative_information_score: 232.3889, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6984, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.1166, scimark_benchmark: 946.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7372, kappa: 0.4221, kb_relative_information_score: 286.9851, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7374, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9978, scimark_benchmark: 948.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7394, kappa: 0.415, kb_relative_information_score: 221.3922, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8634, scimark_benchmark: 941.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 254.7996, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743, scimark_benchmark: 935.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5309, kappa: 0.0013, kb_relative_information_score: 130.4435, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5478, predictive_accuracy: 0.6393, prior_entropy: 0.9335, recall: 0.6393, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6006, root_relative_squared_error: 1.2602, scimark_benchmark: 944.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 313.7497, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0524, scimark_benchmark: 944.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 276.4553, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8594, scimark_benchmark: 947.8538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7619, kappa: 0.4647, kb_relative_information_score: 356.7322, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9538, scimark_benchmark: 944.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7417, kappa: 0.42, kb_relative_information_score: 319.0493, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.967, scimark_benchmark: 942.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7586, kappa: 0.4603, kb_relative_information_score: 247.5509, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.829, scimark_benchmark: 946.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6834, kappa: 0.2867, kb_relative_information_score: 206.3976, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6943, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.955, scimark_benchmark: 931.0961,
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: 0.7529, f_measure: 0.7174, kappa: 0.3684, kb_relative_information_score: 131.8655, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.716, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, scimark_benchmark: 942.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7008, kappa: 0.3351, kb_relative_information_score: 235.5312, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6987, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9715, scimark_benchmark: 943.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 260.2408, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8372, scimark_benchmark: 938.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7479, kappa: 0.4436, kb_relative_information_score: 301.5677, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7472, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9627, scimark_benchmark: 927.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.5134, kb_relative_information_score: 149.7465, mean_absolute_error: 0.3526, 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: 0.7758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.2122, scimark_benchmark: 924.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6841, kappa: 0.3029, kb_relative_information_score: 215.5944, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6833, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7544, kappa: 0.4537, kb_relative_information_score: 277.8348, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7532, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8773, scimark_benchmark: 939.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7271, kappa: 0.3881, kb_relative_information_score: 188.7001, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7273, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9328, scimark_benchmark: 942.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
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: 0.7937, f_measure: 0.7421, kappa: 0.4204, kb_relative_information_score: 230.3237, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7458, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8778, scimark_benchmark: 937.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7543, kappa: 0.4552, kb_relative_information_score: 328.167, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0029, scimark_benchmark: 912.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 247.6883, mean_absolute_error: 0.3155, 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: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8472, scimark_benchmark: 932.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7666, kappa: 0.4769, kb_relative_information_score: 283.7629, mean_absolute_error: 0.2898, 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: 0.6376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8585, scimark_benchmark: 937.1506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7424, kappa: 0.4252, kb_relative_information_score: 278.703, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9073, scimark_benchmark: 940.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.5134, kb_relative_information_score: 152.2401, mean_absolute_error: 0.3505, 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: 0.7712, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5757, root_relative_squared_error: 1.2079, scimark_benchmark: 922.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7553, kappa: 0.4524, kb_relative_information_score: 351.808, mean_absolute_error: 0.2364, 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: 0.5201, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.48, root_relative_squared_error: 1.007, scimark_benchmark: 945.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6963, kappa: 0.3158, kb_relative_information_score: 209.5081, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7113, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9718, scimark_benchmark: 926.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 352.1357, mean_absolute_error: 0.2374, 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: 0.5223, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9715, scimark_benchmark: 944.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 261.2518, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8351, scimark_benchmark: 939.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7507, kappa: 0.4479, kb_relative_information_score: 267.8873, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7496, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8737, scimark_benchmark: 930.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7448, kappa: 0.4265, kb_relative_information_score: 233.7984, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7487, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8709, scimark_benchmark: 934.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7622, kappa: 0.4661, kb_relative_information_score: 227.644, mean_absolute_error: 0.3277, 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: 0.721, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, scimark_benchmark: 946.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7306, kappa: 0.399, kb_relative_information_score: 233.2368, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7291, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8951, scimark_benchmark: 943.8236,
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: 0.8218, f_measure: 0.7622, kappa: 0.4661, kb_relative_information_score: 245.4164, mean_absolute_error: 0.317, 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: 0.6975, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 944.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7574, kappa: 0.4592, kb_relative_information_score: 256.0291, mean_absolute_error: 0.3076, 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: 0.6768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8326, scimark_benchmark: 945.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 947.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7316, kappa: 0.3996, kb_relative_information_score: 257.3377, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7308, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.419, root_relative_squared_error: 0.879, scimark_benchmark: 929.0349,
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: 0.7832, f_measure: 0.7538, kappa: 0.4532, kb_relative_information_score: 276.1166, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7525, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9008, scimark_benchmark: 919.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.7509, kappa: 0.4464, kb_relative_information_score: 338.34, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7496, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.024, scimark_benchmark: 935.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7634, kappa: 0.4686, kb_relative_information_score: 245.7116, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356, scimark_benchmark: 930.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3215, f_measure: 0.2652, kappa: -0.1243, kb_relative_information_score: -194.8188, mean_absolute_error: 0.5304, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.3866, predictive_accuracy: 0.3255, prior_entropy: 0.9335, recall: 0.3255, relative_absolute_error: 1.167, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 935.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7613, kappa: 0.4663, kb_relative_information_score: 253.8842, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8388, scimark_benchmark: 929.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7526, kappa: 0.4508, kb_relative_information_score: 271.5913, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 934.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 944.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 941.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7513, kappa: 0.4423, kb_relative_information_score: 252.6725, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8827, scimark_benchmark: 943.4117,

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