OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 runs submitted
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  • 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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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 - 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: 0.8154, 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: 0.7452, 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: 0.6216, 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: 0.801, 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: 0.8292, 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: 0.7614, 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: 0.7529, 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: 0.7236, 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 - 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: 0.7974, 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: 0.7576, 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: 0.8142, 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: 0.7503, 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: 0.5, 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: 0.7896, 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: 0.8031, 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: 0.7886, 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: 0.7368, 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: 0.8352, 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: 0.7817, 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: 0.6551, 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: 0.8031, 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: 0.802, 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: 0.7857, 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: 0.8356, 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: 0.7708, 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: 0.7758, 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: 0.6741, 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 - No evaluations yet (or not applicable).
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 - 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: 0.6701, 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: 0.8173, 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: 0.8065, 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: 0.8332, 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: 0.7737, 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: 0.8126, 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: 0.7462, 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: 0.6725, 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: 0.7703, 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: 0.8111, 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 - No evaluations yet (or not applicable).
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 - 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: 0.7819, 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: 0.8143, 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 - 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 - 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 - No evaluations yet (or not applicable).
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).
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 - 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: 0.8215, 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: 0.7168, 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: 0.7443, 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: 0.7443, 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: 0.826, 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: 0.826, 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: 0.8265, 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: 0.8281, 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: 0.8282, 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: 0.83, 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: 0.8268, build_cpu_time: 4.5053, build_memory: 80881482.0938, 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: 921.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, build_cpu_time: 0.681, build_memory: 1476105315.5833, f_measure: 0.7534, kappa: 0.4537, kb_relative_information_score: 345.3729, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7522, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9768, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, build_cpu_time: 1.0875, build_memory: 35414184.3438, f_measure: 0.7522, kappa: 0.4513, kb_relative_information_score: 337.6225, mean_absolute_error: 0.2445, 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: 0.5379, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9839, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, build_cpu_time: 1.096, build_memory: 53171710.4167, f_measure: 0.7522, kappa: 0.4513, kb_relative_information_score: 337.6225, mean_absolute_error: 0.2445, 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: 0.5379, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9839, scimark_benchmark: 947.8147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, build_cpu_time: 2.0639, build_memory: 272949030.5833, f_measure: 0.7615, kappa: 0.472, kb_relative_information_score: 345.9181, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9861, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 4.6814, build_memory: 595546328.6979, f_measure: 0.7579, kappa: 0.4648, kb_relative_information_score: 340.3045, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.003, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, build_cpu_time: 44.3541, build_memory: 503882429.6563, f_measure: 0.7658, kappa: 0.48, kb_relative_information_score: 267.0432, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 21.4846, build_memory: 3408018626.7917, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 268.1478, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7585, kappa: 0.463, kb_relative_information_score: 0.3205, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 11.7798, build_memory: 88531679.3542, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 270.6885, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, build_cpu_time: 9.7602, build_memory: 158182166.6979, f_measure: 0.7514, kappa: 0.4484, kb_relative_information_score: 271.6557, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, build_cpu_time: 2.7929, build_memory: 52819380.6875, f_measure: 0.7569, kappa: 0.461, kb_relative_information_score: 274.3843, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8468, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 0.0027, build_memory: 1260670809.2917, f_measure: 0.7229, kappa: 0.3759, kb_relative_information_score: 166.7234, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7306, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8829, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, build_cpu_time: 0.0051, build_memory: 117448478.3333, 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, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, build_cpu_time: 0.7192, build_memory: 30170798.2292, f_measure: 0.7606, kappa: 0.4643, kb_relative_information_score: 337.075, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9505, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0119, build_memory: 689640459.8958, f_measure: 0.7213, kappa: 0.3722, kb_relative_information_score: 165.1981, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7291, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8843, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, build_cpu_time: 0.0175, build_memory: 2037577180.1563, f_measure: 0.7192, kappa: 0.3673, kb_relative_information_score: 166.4072, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7278, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8849, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, build_cpu_time: 0.0369, build_memory: 125493141.5208, f_measure: 0.7203, kappa: 0.3699, kb_relative_information_score: 165.9679, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7295, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.884, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, build_cpu_time: 151.7227, build_memory: 800784081.9792, f_measure: 0.7701, kappa: 0.4901, kb_relative_information_score: 288.706, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389, scimark_benchmark: 949.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7585, kappa: 0.463, kb_relative_information_score: 0.3205, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, build_cpu_time: 63.4879, build_memory: 3267570963.2604, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 290.2424, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8412, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.0105, build_memory: 179468616.9583, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.2263, mean_absolute_error: 0.2882, 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: 0.6341, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8828, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, build_cpu_time: 0.0862, build_memory: 231434483.5938, f_measure: 0.7495, kappa: 0.4415, kb_relative_information_score: 332.3188, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.013, scimark_benchmark: 899.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, build_cpu_time: 0.0833, build_memory: 819386950.9063, f_measure: 0.7495, kappa: 0.4415, kb_relative_information_score: 332.3188, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.013, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, build_cpu_time: 0.0824, build_memory: 155172186.7604, f_measure: 0.7495, kappa: 0.4415, kb_relative_information_score: 332.3188, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.013, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, build_cpu_time: 0.16, build_memory: 715778552.1667, f_measure: 0.7518, kappa: 0.4479, kb_relative_information_score: 275.6253, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7505, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8795, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.13, build_memory: 118350897.3125, f_measure: 0.7546, kappa: 0.4504, kb_relative_information_score: 226.8989, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, build_cpu_time: 0.0388, build_memory: 534084307.1771, 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: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, build_cpu_time: 0.0375, build_memory: 600171387.6771, 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: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, build_cpu_time: 0.0379, build_memory: 344096331.1563, 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: 937.52,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs