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Function: require_once

OpenML
OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

12568 Runs

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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: 0.9794, 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: 948.5944,
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: 0.943, 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: 948.2254,
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: 0.5629, 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: 0.5112, 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: 0.9749, 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: 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: 0.9874, 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: 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: 0.9697, 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: 0.9969, 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: 0.9976, 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: 0.5, 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: 0.5, 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: 0.9703, 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: 0.9961, 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: 0.997, 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: 0.9927, 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: 0.9174, 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: 0.497, 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: 0.9874, 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: 0.9877, 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: 0.9926, 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: 0.5, 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: 0.9881, 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: 0.9903, 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: 0.9526, 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: 0.5169, 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: 0.5, 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: 0.5, 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: 0.9714, 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: 0.9878, 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: 0.9945, 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,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9694, kappa: 0.9331, kb_relative_information_score: 21.96, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9709, predictive_accuracy: 0.9688, prior_entropy: 1.2099, recall: 0.9688, relative_absolute_error: 1.1038, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.9351, scimark_benchmark: 944.4616,
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: 950.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.961, kappa: 0.9149, kb_relative_information_score: 1560.6603, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9616, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3746, scimark_benchmark: 948.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9855, kappa: 0.9685, kb_relative_information_score: 33.3463, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 1.0973, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.9279, scimark_benchmark: 948.6286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1687.2686, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9944, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1433, scimark_benchmark: 948.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8487, kappa: 0.6764, kb_relative_information_score: 1243.7394, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8494, predictive_accuracy: 0.8495, prior_entropy: 1.2099, recall: 0.8495, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.6047, scimark_benchmark: 946.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1091.564, mean_absolute_error: 0.112, 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: 0.4891, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5779, scimark_benchmark: 945.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9182, kappa: 0.84, kb_relative_information_score: 1077.3466, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9344, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.585, scimark_benchmark: 943.4801,
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, scimark_benchmark: 909.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9269, kappa: 0.8409, kb_relative_information_score: 1445.7809, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9277, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4912, scimark_benchmark: 941.8372,
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: 944.0638,
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: 919.5375,
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: 916.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9834, kappa: 0.9636, kb_relative_information_score: 31.3502, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9837, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 1.0983, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.929, scimark_benchmark: 912.4423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9312, kappa: 0.8505, kb_relative_information_score: 1463.7186, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.4784, scimark_benchmark: 911.4628,
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: 946.4513,
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: 945.9518,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs