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: 0.9997, 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: 0.9386, 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: 921.8102,
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: 919.7995,
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: 0.9948, f_measure: 0.9499, kappa: 0.8923, kb_relative_information_score: 1258.8563, mean_absolute_error: 0.0834, 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: 0.3644, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4912, scimark_benchmark: 936.6542,
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: 0.897, 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 - area_under_roc_curve: 0.9981, f_measure: 0.9664, kappa: 0.9272, kb_relative_information_score: 1582.2925, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9669, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.3464, scimark_benchmark: 928.3614,
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: 0.9812, 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: 0.8703, 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: 0.9688, 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: 0.8719, 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: 0.994, 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: 0.9726, 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: 0.99, 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 - 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: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.6977, mean_absolute_error: 0.1963, 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: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244, scimark_benchmark: 934.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9556, kappa: 0.9038, kb_relative_information_score: 1527.6722, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9565, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.4278, scimark_benchmark: 897.3179,
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: 908.8163,
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: 0.9945, 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: 0.497, 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: 0.9976, 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: 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: 0.9526, 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: 0.997, 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: 0.9714, 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: 0.99, 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: 0.5169, 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: 0.9927, 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: 0.5629, 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: 0.943, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9003, kappa: 0.7876, kb_relative_information_score: 1213.7216, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9025, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8502, kappa: 0.7176, kb_relative_information_score: 1013.6878, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8601, predictive_accuracy: 0.875, prior_entropy: 1.2099, recall: 0.875, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -49.6795, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3389, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.886, kappa: 0.7606, kb_relative_information_score: 1168.3685, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: 29.423, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1679.7228, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9945, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: -8.5648, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 24.2052, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 42.4694, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 8.8851, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9598, kappa: 0.9128, kb_relative_information_score: 1440.4568, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9624, predictive_accuracy: 0.9589, prior_entropy: 1.2099, recall: 0.9589, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, kappa: 0.677, kb_relative_information_score: 864.9046, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8663, prior_entropy: 1.2099, recall: 0.8663, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9239, kappa: 0.8491, kb_relative_information_score: 1127.4297, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9334, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.5629,

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