OpenML
Supervised Classification on covertype

Supervised Classification on covertype

Task 2072 Supervised Classification covertype 159 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6217, kappa: 0.4306, kb_relative_information_score: 46215.7687, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.625, prior_entropy: 1.8698, recall: 0.625, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.277, root_relative_squared_error: 0.9101, scimark_benchmark: 894.9253,
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: 0.8683, f_measure: 0.7414, kappa: 0.6029, kb_relative_information_score: 24562.3471, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7467, predictive_accuracy: 0.7515, prior_entropy: 1.8698, recall: 0.7515, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8897, scimark_benchmark: 946.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.6805, kappa: 0.5265, kb_relative_information_score: 8169.1852, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7049, predictive_accuracy: 0.7059, prior_entropy: 1.8698, recall: 0.7059, relative_absolute_error: 1.1348, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3112, root_relative_squared_error: 1.0224, scimark_benchmark: 899.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.6158, kappa: 0.4111, kb_relative_information_score: 1133.6802, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.606, predictive_accuracy: 0.639, prior_entropy: 1.8698, recall: 0.639, relative_absolute_error: 1.1969, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.6216, kappa: 0.4305, kb_relative_information_score: 46179.605, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6234, predictive_accuracy: 0.6248, prior_entropy: 1.8698, recall: 0.6248, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9105, scimark_benchmark: 920.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8653, kappa: 0.7952, kb_relative_information_score: 74359.0321, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8707, predictive_accuracy: 0.8709, prior_entropy: 1.8698, recall: 0.8709, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5814, scimark_benchmark: 929.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.6398, kappa: 0.454, kb_relative_information_score: 43505.6033, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6453, predictive_accuracy: 0.6618, prior_entropy: 1.8698, recall: 0.6618, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.859, scimark_benchmark: 938.5166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.6207, kappa: 0.4395, kb_relative_information_score: 3267.999, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.617, predictive_accuracy: 0.6569, prior_entropy: 1.8698, recall: 0.6569, relative_absolute_error: 1.1739, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.0327, scimark_benchmark: 856.2986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8775, kappa: 0.814, kb_relative_information_score: 79144.7449, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8813, predictive_accuracy: 0.8823, prior_entropy: 1.8698, recall: 0.8823, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5497, scimark_benchmark: 944.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7838, kappa: 0.6665, kb_relative_information_score: 71924.9502, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7834, predictive_accuracy: 0.7842, prior_entropy: 1.8698, recall: 0.7842, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.8164, scimark_benchmark: 944.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.652, kappa: 0.4685, kb_relative_information_score: 50707.5, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6547, predictive_accuracy: 0.6539, prior_entropy: 1.8698, recall: 0.6539, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.8715, scimark_benchmark: 937.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8238, kappa: 0.7286, kb_relative_information_score: 75921.5398, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8231, predictive_accuracy: 0.8249, prior_entropy: 1.8698, recall: 0.8249, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6809, scimark_benchmark: 932.7609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.6873, kappa: 0.5367, kb_relative_information_score: 8228.5207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7132, predictive_accuracy: 0.7124, prior_entropy: 1.8698, recall: 0.7124, relative_absolute_error: 1.1341, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.311, root_relative_squared_error: 1.0219, scimark_benchmark: 905.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8439, kappa: 0.7607, kb_relative_information_score: 10002.4874, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8471, predictive_accuracy: 0.8487, prior_entropy: 1.8698, recall: 0.8487, relative_absolute_error: 1.122, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.307, root_relative_squared_error: 1.0088, scimark_benchmark: 945.0603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6151, kappa: 0.4153, kb_relative_information_score: 44824.8645, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6068, predictive_accuracy: 0.6425, prior_entropy: 1.8698, recall: 0.6425, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.05, scimark_benchmark: 934.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6159, kappa: 0.4111, kb_relative_information_score: -218.3785, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6059, predictive_accuracy: 0.6391, prior_entropy: 1.8698, recall: 0.6391, relative_absolute_error: 1.2123, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3232, root_relative_squared_error: 1.062, scimark_benchmark: 941.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 2108.3228, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 1.207, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3222, root_relative_squared_error: 1.0585, scimark_benchmark: 944.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8521, kappa: 0.7744, kb_relative_information_score: 74666.8322, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8525, predictive_accuracy: 0.8568, prior_entropy: 1.8698, recall: 0.8568, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6089, scimark_benchmark: 944.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8101, kappa: 0.7082, kb_relative_information_score: 71265.5961, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8113, predictive_accuracy: 0.8151, prior_entropy: 1.8698, recall: 0.8151, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.205, root_relative_squared_error: 0.6737, scimark_benchmark: 943.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6155, kappa: 0.4156, kb_relative_information_score: 44869.0275, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6066, predictive_accuracy: 0.6425, prior_entropy: 1.8698, recall: 0.6425, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0501, scimark_benchmark: 948.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.6425, kappa: 0.4514, kb_relative_information_score: 44177.5367, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6407, predictive_accuracy: 0.6583, prior_entropy: 1.8698, recall: 0.6583, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8644, scimark_benchmark: 948.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.6179, kappa: 0.44, kb_relative_information_score: 41719.2855, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.5842, predictive_accuracy: 0.6566, prior_entropy: 1.8698, recall: 0.6566, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.8559, scimark_benchmark: 910.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8108, kappa: 0.7093, kb_relative_information_score: 71233.7108, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8125, predictive_accuracy: 0.8159, prior_entropy: 1.8698, recall: 0.8159, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.6857, scimark_benchmark: 945.6626,
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: 0.8225, f_measure: 0.6519, kappa: 0.4685, kb_relative_information_score: 50920.2152, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6547, predictive_accuracy: 0.6538, prior_entropy: 1.8698, recall: 0.6538, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.8711, scimark_benchmark: 946.0226,
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: 0.9299, f_measure: 0.8367, kappa: 0.7499, kb_relative_information_score: 80371.8249, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8361, predictive_accuracy: 0.8407, prior_entropy: 1.8698, recall: 0.8407, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6697, scimark_benchmark: 948.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6159, kappa: 0.4111, kb_relative_information_score: -218.3785, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6059, predictive_accuracy: 0.6391, prior_entropy: 1.8698, recall: 0.6391, relative_absolute_error: 1.2123, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3232, root_relative_squared_error: 1.062, scimark_benchmark: 921.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8742, kappa: 0.8082, kb_relative_information_score: 86198.6926, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8737, predictive_accuracy: 0.8777, prior_entropy: 1.8698, recall: 0.8777, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.602, scimark_benchmark: 876.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7876, kappa: 0.6739, kb_relative_information_score: 64380.1288, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7915, predictive_accuracy: 0.7951, prior_entropy: 1.8698, recall: 0.7951, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.7164, scimark_benchmark: 933.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8207, kappa: 0.7246, kb_relative_information_score: 73632.9701, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8218, predictive_accuracy: 0.8252, prior_entropy: 1.8698, recall: 0.8252, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.6614, scimark_benchmark: 942.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 46210.9443, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9104, scimark_benchmark: 947.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.843, kappa: 0.7584, kb_relative_information_score: 80475.6864, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8423, predictive_accuracy: 0.8437, prior_entropy: 1.8698, recall: 0.8437, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.189, root_relative_squared_error: 0.6211, scimark_benchmark: 948.1941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6155, kappa: 0.4156, kb_relative_information_score: 44869.0275, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6066, predictive_accuracy: 0.6425, prior_entropy: 1.8698, recall: 0.6425, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0501, scimark_benchmark: 943.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8457, kappa: 0.7636, kb_relative_information_score: 77785.7517, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8466, predictive_accuracy: 0.8498, prior_entropy: 1.8698, recall: 0.8498, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.65, scimark_benchmark: 946.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7358, kappa: 0.5951, kb_relative_information_score: 61672.5365, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7394, predictive_accuracy: 0.7454, prior_entropy: 1.8698, recall: 0.7454, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.7709, scimark_benchmark: 945.0035,
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: 0.8126, f_measure: 0.6453, kappa: 0.4617, kb_relative_information_score: 44311.3017, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.654, predictive_accuracy: 0.6655, prior_entropy: 1.8698, recall: 0.6655, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8519, scimark_benchmark: 945.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.779, kappa: 0.6573, kb_relative_information_score: 42546.1985, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7903, predictive_accuracy: 0.7868, prior_entropy: 1.8698, recall: 0.7868, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.7781, scimark_benchmark: 947.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.6207, kappa: 0.4395, kb_relative_information_score: 3267.999, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.617, predictive_accuracy: 0.6569, prior_entropy: 1.8698, recall: 0.6569, relative_absolute_error: 1.1739, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.0327, scimark_benchmark: 942.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8682, kappa: 0.7994, kb_relative_information_score: 75319.9044, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8689, predictive_accuracy: 0.8727, prior_entropy: 1.8698, recall: 0.8727, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5792, scimark_benchmark: 935.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.6158, kappa: 0.4154, kb_relative_information_score: 44841.1837, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.606, predictive_accuracy: 0.6421, prior_entropy: 1.8698, recall: 0.6421, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0506, scimark_benchmark: 946.6899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.818, kappa: 0.7209, kb_relative_information_score: 70272.5063, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8218, predictive_accuracy: 0.824, prior_entropy: 1.8698, recall: 0.824, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6797, scimark_benchmark: 938.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8423, kappa: 0.759, kb_relative_information_score: 78638.1601, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8441, predictive_accuracy: 0.847, prior_entropy: 1.8698, recall: 0.847, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6323, scimark_benchmark: 937.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8641, kappa: 0.7922, kb_relative_information_score: 84572.6692, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8634, predictive_accuracy: 0.8675, prior_entropy: 1.8698, recall: 0.8675, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6126, scimark_benchmark: 944.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8042, kappa: 0.6995, kb_relative_information_score: 67661.3566, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8077, predictive_accuracy: 0.8108, prior_entropy: 1.8698, recall: 0.8108, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6957, scimark_benchmark: 943.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.6163, kappa: 0.4378, kb_relative_information_score: 41443.1822, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.583, predictive_accuracy: 0.6546, prior_entropy: 1.8698, recall: 0.6546, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8657, scimark_benchmark: 943.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.818, kappa: 0.7209, kb_relative_information_score: 70272.5063, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8218, predictive_accuracy: 0.824, prior_entropy: 1.8698, recall: 0.824, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6797, scimark_benchmark: 943.9328,
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: 0.9381, f_measure: 0.8505, kappa: 0.7723, kb_relative_information_score: 74601.6876, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8509, predictive_accuracy: 0.8553, prior_entropy: 1.8698, recall: 0.8553, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.612, scimark_benchmark: 941.0154,
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: 0.9079, f_measure: 0.8342, kappa: 0.7459, kb_relative_information_score: 74709.4673, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8362, predictive_accuracy: 0.839, prior_entropy: 1.8698, recall: 0.839, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6556, scimark_benchmark: 943.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8343, kappa: 0.7484, kb_relative_information_score: 79598.0805, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8391, predictive_accuracy: 0.8402, prior_entropy: 1.8698, recall: 0.8402, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6468, scimark_benchmark: 947.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.6914, kappa: 0.5249, kb_relative_information_score: 55985.3137, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6905, predictive_accuracy: 0.6943, prior_entropy: 1.8698, recall: 0.6943, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.8265, scimark_benchmark: 938.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.6226, kappa: 0.432, kb_relative_information_score: 37238.4087, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6321, predictive_accuracy: 0.626, prior_entropy: 1.8698, recall: 0.626, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9371, scimark_benchmark: 938.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 944.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.6465, kappa: 0.4618, kb_relative_information_score: 44642.8139, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6527, predictive_accuracy: 0.6655, prior_entropy: 1.8698, recall: 0.6655, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8497, scimark_benchmark: 929.6916,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

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