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: 0.7269, f_measure: 0.7465, kappa: 0.4345, kb_relative_information_score: 201.2167, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7455, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9022, scimark_benchmark: 926.0387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7489, kappa: 0.441, kb_relative_information_score: 239.8463, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8793, scimark_benchmark: 937.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7353, kappa: 0.4087, kb_relative_information_score: 226.5975, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7341, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.92, scimark_benchmark: 919.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6886, kappa: 0.2993, kb_relative_information_score: 245.6844, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6899, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1431, scimark_benchmark: 948.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7403, kappa: 0.4213, kb_relative_information_score: 247.9026, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.739, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9335, scimark_benchmark: 943.1403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7227, kappa: 0.3757, kb_relative_information_score: 221.5596, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7287, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8675, scimark_benchmark: 947.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.687, kappa: 0.2948, kb_relative_information_score: 252.5531, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6938, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.1356, scimark_benchmark: 946.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, 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: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 949.1427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7395, kappa: 0.4199, kb_relative_information_score: 259.1108, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7461, kappa: 0.4279, kb_relative_information_score: 351.0054, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7623, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213, scimark_benchmark: 947.5537,
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: 942.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.7021, kappa: 0.3398, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7004, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7277, kappa: 0.3912, kb_relative_information_score: 222.9143, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7268, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8769, scimark_benchmark: 941.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7395, kappa: 0.4199, kb_relative_information_score: 259.1108, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.754, kappa: 0.4457, kb_relative_information_score: 364.7429, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043, scimark_benchmark: 951.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7344, kappa: 0.4048, kb_relative_information_score: 249.8361, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7345, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8724, scimark_benchmark: 945.3164,
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: 948.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.6485, kappa: 0.2109, kb_relative_information_score: 213.6301, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6667, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1777, scimark_benchmark: 945.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 254.5093, mean_absolute_error: 0.3094, 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: 0.6807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 947.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7332, kappa: 0.4007, kb_relative_information_score: 204.0891, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7356, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8771, scimark_benchmark: 945.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.761, kappa: 0.4635, kb_relative_information_score: 362.4533, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072, scimark_benchmark: 946.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7512, kappa: 0.4474, kb_relative_information_score: 269.6468, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8941, scimark_benchmark: 946.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6991, kappa: 0.3375, kb_relative_information_score: 238.8156, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.699, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1506, scimark_benchmark: 946.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, 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: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 907.1226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7479, kappa: 0.4364, kb_relative_information_score: 269.5882, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8543, scimark_benchmark: 947.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7211, kappa: 0.3926, kb_relative_information_score: 139.3305, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7247, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9217, scimark_benchmark: 946.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6908, kappa: 0.3042, kb_relative_information_score: 250.2635, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6928, 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: 948.0525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7572, kappa: 0.4545, kb_relative_information_score: 241.6435, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 950.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7259, kappa: 0.3865, kb_relative_information_score: 298.3449, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7251, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0839, scimark_benchmark: 948.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7022, kappa: 0.3455, kb_relative_information_score: 243.3948, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7026, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1456, scimark_benchmark: 917.2849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7658, kappa: 0.4734, kb_relative_information_score: 373.9013, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7724, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929, scimark_benchmark: 910.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7184, kappa: 0.3748, kb_relative_information_score: 277.7386, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7167, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1075, scimark_benchmark: 944.1472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7627, kappa: 0.4697, kb_relative_information_score: 255.1433, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 946.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7188, kappa: 0.3663, kb_relative_information_score: 221.7708, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7302, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8993, scimark_benchmark: 947.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7355, kappa: 0.4057, kb_relative_information_score: 243.7706, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.883, scimark_benchmark: 947.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.756, kappa: 0.4504, kb_relative_information_score: 362.4533, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072, scimark_benchmark: 944.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.6129, kappa: 0.1655, kb_relative_information_score: 229.6572, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1605, scimark_benchmark: 923.0729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 948.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7395, kappa: 0.4199, kb_relative_information_score: 259.1108, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9316, scimark_benchmark: 946.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7175, kappa: 0.3674, kb_relative_information_score: 218.8265, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7166, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8724, scimark_benchmark: 944.0326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 226.3965, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, scimark_benchmark: 912.2097,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 257.9267, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 946.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7421, kappa: 0.4258, kb_relative_information_score: 235.818, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7407, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9158, scimark_benchmark: 947.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7395, kappa: 0.4199, kb_relative_information_score: 243.669, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9409, scimark_benchmark: 946.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, 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: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 945.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.5395, kappa: 0.0263, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6015, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 946.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7395, kappa: 0.4199, kb_relative_information_score: 259.1108, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9316, scimark_benchmark: 949.5932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.7201, kappa: 0.3794, kb_relative_information_score: 234.2833, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7185, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9688, scimark_benchmark: 948.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7412, kappa: 0.4227, kb_relative_information_score: 240.7979, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.74, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7453, kappa: 0.4305, kb_relative_information_score: 263.3355, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7448, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8562, scimark_benchmark: 948.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, 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: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 944.1551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7339, kappa: 0.4008, kb_relative_information_score: 198.9195, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7428, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8479, scimark_benchmark: 947.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7551, kappa: 0.4543, kb_relative_information_score: 270.0796, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.754, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8687, scimark_benchmark: 929.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7583, kappa: 0.4621, kb_relative_information_score: 256.9091, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8758, scimark_benchmark: 947.8835,
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: 943.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6605, kappa: 0.2463, kb_relative_information_score: 170.6991, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.658, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0645, scimark_benchmark: 928.504,
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: 942.5279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7088, kappa: 0.3448, kb_relative_information_score: 132.6477, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7121, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9056, scimark_benchmark: 941.3955,
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: 944.2848,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7266, kappa: 0.3915, kb_relative_information_score: 296.0914, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7248, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0636, scimark_benchmark: 946.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.5134, kb_relative_information_score: 155.6139, mean_absolute_error: 0.3478, 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: 0.7653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.1934, scimark_benchmark: 947.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7479, kappa: 0.4364, kb_relative_information_score: 329.8899, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9806, scimark_benchmark: 942.7017,
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: 940.0645,
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: 911.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7072, kappa: 0.3558, kb_relative_information_score: 252.5531, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7073, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.1356, scimark_benchmark: 943.8141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.748, kappa: 0.438, kb_relative_information_score: 333.5949, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7469, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0404, scimark_benchmark: 937.1066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.717, kappa: 0.3642, kb_relative_information_score: 140.2899, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7183, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9005, scimark_benchmark: 945.3703,
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,
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: 0.6551, 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: 0.8318, 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: 0.825, 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: 0.6725, 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: 0.3215, 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: 0.8268, 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: 0.7643, 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: 0.7832, 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: 0.8011, 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 - 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: 0.8313, 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: 0.8218, 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 - No evaluations yet (or not applicable).
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 - 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: 0.7977, 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: 0.8111, 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: 0.8317, 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: 0.8128, 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: 0.7062, 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: 0.7522, 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: 0.7097, 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: 0.8005, 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: 0.819, 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: 0.8112, 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: 0.7977, 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: 0.7937, 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,

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