Task
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9144, kappa: 0.8357, kb_relative_information_score: -20.793, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9283, predictive_accuracy: 0.9248, prior_entropy: 1.2099, recall: 0.9248, relative_absolute_error: 1.1211, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.9534, scimark_benchmark: 945.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 948.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 946.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8008, kappa: 0.5871, kb_relative_information_score: 921.9292, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.796, predictive_accuracy: 0.8108, prior_entropy: 1.2099, recall: 0.8108, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.732, scimark_benchmark: 916.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9503, kappa: 0.8924, kb_relative_information_score: 1294.0512, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9512, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.4751, scimark_benchmark: 937.3745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9239, kappa: 0.8356, kb_relative_information_score: 1365.8054, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9262, predictive_accuracy: 0.9236, prior_entropy: 1.2099, recall: 0.9236, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4872, scimark_benchmark: 910.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8791, kappa: 0.7356, kb_relative_information_score: 1208.0666, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.878, predictive_accuracy: 0.8808, prior_entropy: 1.2099, recall: 0.8808, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6033, scimark_benchmark: 948.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 897.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 929.2243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.5768, kb_relative_information_score: -332.9329, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.231, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3593, root_relative_squared_error: 1.0627, scimark_benchmark: 949.2784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9422, kappa: 0.8741, kb_relative_information_score: 1.3298, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9423, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 1.1137, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9423, scimark_benchmark: 946.2167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9349, kappa: 0.8586, kb_relative_information_score: 1277.1747, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.171, root_relative_squared_error: 0.5057, scimark_benchmark: 947.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9232, kappa: 0.8357, kb_relative_information_score: 1356.1154, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9261, predictive_accuracy: 0.9236, prior_entropy: 1.2099, recall: 0.9236, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4911, scimark_benchmark: 946.7774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 946.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9806, kappa: 0.9575, kb_relative_information_score: 29.6351, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 1.2099, recall: 0.9803, relative_absolute_error: 1.0994, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.9302, scimark_benchmark: 947.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9208, kappa: 0.8296, kb_relative_information_score: 1361.4465, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9238, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.49, scimark_benchmark: 946.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9204, kappa: 0.8286, kb_relative_information_score: 1355.4486, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9234, predictive_accuracy: 0.9201, prior_entropy: 1.2099, recall: 0.9201, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4935, scimark_benchmark: 946.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 947.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7937, kappa: 0.6013, kb_relative_information_score: 833.9921, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7915, predictive_accuracy: 0.8137, prior_entropy: 1.2099, recall: 0.8137, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7503, scimark_benchmark: 921.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9856, kappa: 0.9684, kb_relative_information_score: 1659.1375, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 915.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8557, kappa: 0.7078, kb_relative_information_score: 883.5904, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8429, predictive_accuracy: 0.8785, prior_entropy: 1.2099, recall: 0.8785, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6723, scimark_benchmark: 947.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8683, kappa: 0.7277, kb_relative_information_score: 1218.1334, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8684, predictive_accuracy: 0.8738, prior_entropy: 1.2099, recall: 0.8738, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.6036, scimark_benchmark: 945.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 949.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 947.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 38.9914, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.995, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 1.0943, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.9245, scimark_benchmark: 945.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9224, kappa: 0.85, kb_relative_information_score: 1089.8132, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9388, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.5786, scimark_benchmark: 920.4269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8621, kappa: 0.7168, kb_relative_information_score: 1191.595, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8604, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6154, scimark_benchmark: 914.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9428, kappa: 0.8762, kb_relative_information_score: 1291.9444, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9438, predictive_accuracy: 0.9427, prior_entropy: 1.2099, recall: 0.9427, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4823, scimark_benchmark: 944.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9189, kappa: 0.8258, kb_relative_information_score: 1354.2727, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9222, predictive_accuracy: 0.919, prior_entropy: 1.2099, recall: 0.919, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4945, scimark_benchmark: 948.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 44.5122, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 1.0918, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.9218, scimark_benchmark: 943.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8768, kappa: 0.7413, kb_relative_information_score: 1292.2451, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8765, predictive_accuracy: 0.8808, prior_entropy: 1.2099, recall: 0.8808, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.5757, scimark_benchmark: 913.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5768, kb_relative_information_score: -367.1095, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.235, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.0664, scimark_benchmark: 947.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.62, kappa: 0.1233, kb_relative_information_score: -417.395, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.5848, predictive_accuracy: 0.7159, prior_entropy: 1.2099, recall: 0.7159, relative_absolute_error: 1.2367, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.068, scimark_benchmark: 947.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9333, kappa: 0.8564, kb_relative_information_score: 1295.451, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5002, scimark_benchmark: 946.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9377, kappa: 0.8641, kb_relative_information_score: 1485.3579, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.939, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4678, scimark_benchmark: 948.2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7917, kappa: 0.5609, kb_relative_information_score: 963.5171, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7863, predictive_accuracy: 0.7998, prior_entropy: 1.2099, recall: 0.7998, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.7233, scimark_benchmark: 950.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9377, kappa: 0.8641, kb_relative_information_score: 1485.3579, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.939, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4678, scimark_benchmark: 910.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 948.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8952, kappa: 0.778, kb_relative_information_score: -527.2721, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.897, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 1.3801, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0843, scimark_benchmark: 948.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 948.2572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9622, kappa: 0.9182, kb_relative_information_score: 16.8605, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9642, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 1.1063, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9378, scimark_benchmark: 947.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9901, kappa: 0.9785, kb_relative_information_score: 36.9332, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 1.0956, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9241, scimark_benchmark: 946.2326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9306, kappa: 0.8492, kb_relative_information_score: 1457.6179, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9318, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.4827, scimark_benchmark: 945.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 948.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9873, kappa: 0.9722, kb_relative_information_score: 32.7506, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9875, predictive_accuracy: 0.9873, prior_entropy: 1.2099, recall: 0.9873, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.9273, scimark_benchmark: 946.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9345, kappa: 0.8574, kb_relative_information_score: 1444.4063, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9352, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4469, scimark_benchmark: 947.2962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.799, kappa: 0.5979, kb_relative_information_score: 856.3237, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8057, predictive_accuracy: 0.8131, prior_entropy: 1.2099, recall: 0.8131, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7451, scimark_benchmark: 947.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8467, kappa: 0.6639, kb_relative_information_score: 1135.1878, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8461, predictive_accuracy: 0.8478, prior_entropy: 1.2099, recall: 0.8478, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.7519, scimark_benchmark: 947.1648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 910.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9301, kappa: 0.8485, kb_relative_information_score: 1402.9004, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9313, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.4609, scimark_benchmark: 947.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9954, kappa: 0.9899, kb_relative_information_score: 41.0657, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.2099, recall: 0.9954, relative_absolute_error: 1.0935, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.922, scimark_benchmark: 945.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775, scimark_benchmark: 938.541,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.5768, kb_relative_information_score: 406.8367, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9298, scimark_benchmark: 945.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9942, kappa: 0.9874, kb_relative_information_score: 1698.5286, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1587, scimark_benchmark: 943.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.5768, kb_relative_information_score: 662.2485, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.7879, scimark_benchmark: 918.5184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.973, kappa: 0.9409, kb_relative_information_score: 1618.2193, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9733, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3108, scimark_benchmark: 939.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9567, kappa: 0.9058, kb_relative_information_score: 1488.9178, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9571, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4355, scimark_benchmark: 948.7867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775, scimark_benchmark: 908.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9468, kappa: 0.8855, kb_relative_information_score: 1257.0443, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4967, scimark_benchmark: 943.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.5768, kb_relative_information_score: 406.8367, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9298, scimark_benchmark: 909.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9499, kappa: 0.8923, kb_relative_information_score: 1258.7912, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9513, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.84, kappa: 0.6566, kb_relative_information_score: 999.0305, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8439, predictive_accuracy: 0.8507, prior_entropy: 1.2099, recall: 0.8507, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.6724, scimark_benchmark: 943.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9388, kappa: 0.8672, kb_relative_information_score: 1423.6538, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4519, scimark_benchmark: 939.2282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8506, kappa: 0.6753, kb_relative_information_score: 1015.2768, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8534, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.6701, scimark_benchmark: 906.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8506, kappa: 0.6753, kb_relative_information_score: 1015.2768, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8534, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.6701, scimark_benchmark: 574.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.6723, kappa: 0.26, kb_relative_information_score: 436.903, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6405, predictive_accuracy: 0.7413, prior_entropy: 1.2099, recall: 0.7413, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.274, root_relative_squared_error: 0.8104, scimark_benchmark: 576.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 945.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9677, kappa: 0.9298, kb_relative_information_score: 1574.8209, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9682, predictive_accuracy: 0.9676, prior_entropy: 1.2099, recall: 0.9676, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3715, scimark_benchmark: 943.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775, scimark_benchmark: 917.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: 296.4043, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8782, scimark_benchmark: 936.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 917.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8985, kappa: 0.7783, kb_relative_information_score: 1313.2351, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8982, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5654, scimark_benchmark: 943.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9322, kappa: 0.8525, kb_relative_information_score: 1429.5074, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9317, prior_entropy: 1.2099, recall: 0.9317, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4509, scimark_benchmark: 939.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9441, kappa: 0.8777, kb_relative_information_score: 1524.4219, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9445, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4245, scimark_benchmark: 945.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9743, kappa: 0.9436, kb_relative_information_score: 1612.5783, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.975, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3199, scimark_benchmark: 946.3072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 947.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9441, kappa: 0.8777, kb_relative_information_score: 1524.4219, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9445, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4245, scimark_benchmark: 944.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1672.9189, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1534, scimark_benchmark: 940.1586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9097, kappa: 0.8052, kb_relative_information_score: 1214.1755, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.911, predictive_accuracy: 0.9103, prior_entropy: 1.2099, recall: 0.9103, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5392, scimark_benchmark: 918.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8971, kappa: 0.7796, kb_relative_information_score: 1294.4347, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9005, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.209, root_relative_squared_error: 0.618, scimark_benchmark: 883.2272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.6723, kappa: 0.26, kb_relative_information_score: 436.903, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6405, predictive_accuracy: 0.7413, prior_entropy: 1.2099, recall: 0.7413, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.274, root_relative_squared_error: 0.8104, scimark_benchmark: 945.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9643, kappa: 0.9222, kb_relative_information_score: 1578.3436, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9647, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3512, scimark_benchmark: 946.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 928.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9542, kappa: 0.9007, kb_relative_information_score: 1468.975, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4448, scimark_benchmark: 922.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9097, kappa: 0.8052, kb_relative_information_score: 1214.1755, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.911, predictive_accuracy: 0.9103, prior_entropy: 1.2099, recall: 0.9103, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5392, scimark_benchmark: 928.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5768, kb_relative_information_score: 1.9656, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 927.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9368, kappa: 0.8621, kb_relative_information_score: 1493.9384, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9375, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4582, scimark_benchmark: 946.8794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9643, kappa: 0.9222, kb_relative_information_score: 1578.3436, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9647, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3512, scimark_benchmark: 910.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8985, kappa: 0.7783, kb_relative_information_score: 1313.2351, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8982, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5654, scimark_benchmark: 944.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 941.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9135, kappa: 0.8136, kb_relative_information_score: 1204.2685, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9153, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433, scimark_benchmark: 948.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9626, kappa: 0.9185, kb_relative_information_score: 1516.141, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.963, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4087, scimark_benchmark: 940.1276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8561, kappa: 0.6932, kb_relative_information_score: 1016.0903, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8634, predictive_accuracy: 0.8611, prior_entropy: 1.2099, recall: 0.8611, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.221, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 1699.1016, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1518, scimark_benchmark: 945.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8659, kappa: 0.7159, kb_relative_information_score: 1176.4476, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.871, predictive_accuracy: 0.8727, prior_entropy: 1.2099, recall: 0.8727, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6917, scimark_benchmark: 909.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 944.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9826, kappa: 0.9621, kb_relative_information_score: 1583.3994, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9828, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2796, scimark_benchmark: 945.1229,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

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Timeline

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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

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