OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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5745 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8813, kappa: 0.7103, kb_relative_information_score: -467.866, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8849, predictive_accuracy: 0.8864, prior_entropy: 1.2149, recall: 0.8864, relative_absolute_error: 1.674, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3145, root_relative_squared_error: 1.2178, scimark_benchmark: 949.0782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8765, kappa: 0.6936, kb_relative_information_score: 590.1593, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8725, predictive_accuracy: 0.8808, prior_entropy: 1.2149, recall: 0.8808, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.6258, scimark_benchmark: 946.5966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9119, kappa: 0.775, kb_relative_information_score: 690.4325, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9207, predictive_accuracy: 0.9198, prior_entropy: 1.2149, recall: 0.9198, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.139, root_relative_squared_error: 0.5382, scimark_benchmark: 947.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8825, kappa: 0.7102, kb_relative_information_score: 570.1022, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8861, predictive_accuracy: 0.8875, prior_entropy: 1.2149, recall: 0.8875, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.6556, scimark_benchmark: 945.2924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9321, kappa: 0.8291, kb_relative_information_score: 710.1596, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9323, predictive_accuracy: 0.9332, prior_entropy: 1.2149, recall: 0.9332, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4774, scimark_benchmark: 943.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8136, kappa: 0.5254, kb_relative_information_score: 466.7196, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8102, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9454, kappa: 0.861, kb_relative_information_score: 689.6338, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9462, predictive_accuracy: 0.9465, prior_entropy: 1.2149, recall: 0.9465, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 921.1563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8881, kappa: 0.7246, kb_relative_information_score: -467.1738, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.89, predictive_accuracy: 0.8898, prior_entropy: 1.2149, recall: 0.8898, relative_absolute_error: 1.674, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3144, root_relative_squared_error: 1.2175, scimark_benchmark: 947.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9329, kappa: 0.8317, kb_relative_information_score: 671.6035, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9335, predictive_accuracy: 0.9343, prior_entropy: 1.2149, recall: 0.9343, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.5031, scimark_benchmark: 911.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9307, kappa: 0.826, kb_relative_information_score: 667.7972, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9313, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.5098, scimark_benchmark: 911.3253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8858, kappa: 0.7149, kb_relative_information_score: 592.9207, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8827, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.6154, scimark_benchmark: 947.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9488, kappa: 0.8719, kb_relative_information_score: 698.4106, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9489, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.4561, scimark_benchmark: 946.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 946.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.923, kappa: 0.8067, kb_relative_information_score: 678.9059, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9242, predictive_accuracy: 0.9254, prior_entropy: 1.2149, recall: 0.9254, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.5316, scimark_benchmark: 940.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 853.7698, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1841, scimark_benchmark: 949.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7429, kappa: 0.3917, kb_relative_information_score: -491.8827, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7897, predictive_accuracy: 0.8118, prior_entropy: 1.2149, recall: 0.8118, relative_absolute_error: 1.688, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3174, root_relative_squared_error: 1.2292, scimark_benchmark: 946.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8652, kappa: 0.6637, kb_relative_information_score: -472.2238, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8755, predictive_accuracy: 0.8753, prior_entropy: 1.2149, recall: 0.8753, relative_absolute_error: 1.676, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.2195, scimark_benchmark: 946.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9041, kappa: 0.7654, kb_relative_information_score: 631.3211, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9079, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5835, scimark_benchmark: 926.9157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8656, kappa: 0.6525, kb_relative_information_score: -479.4132, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8752, predictive_accuracy: 0.8742, prior_entropy: 1.2149, recall: 0.8742, relative_absolute_error: 1.6787, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.2218, scimark_benchmark: 943.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9286, kappa: 0.8257, kb_relative_information_score: 694.7601, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9349, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5336, scimark_benchmark: 920.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 863.3595, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9936, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1627, scimark_benchmark: 911.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9339, kappa: 0.8342, kb_relative_information_score: 671.5172, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9344, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.5029, scimark_benchmark: 904.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.877, kappa: 0.6987, kb_relative_information_score: -468.6224, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8802, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 1.6747, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.2185, scimark_benchmark: 949.8052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 925.1367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9072, kappa: 0.7649, kb_relative_information_score: 639.7138, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9074, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.5755, scimark_benchmark: 892.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919, scimark_benchmark: 946.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8901, kappa: 0.727, kb_relative_information_score: -467.3642, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 1.2149, recall: 0.892, relative_absolute_error: 1.6738, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.2172, scimark_benchmark: 947.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8603, kappa: 0.6378, kb_relative_information_score: 555.888, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.861, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.168, root_relative_squared_error: 0.6505, scimark_benchmark: 948.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8697, kappa: 0.6637, kb_relative_information_score: -477.7951, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8788, predictive_accuracy: 0.8775, prior_entropy: 1.2149, recall: 0.8775, relative_absolute_error: 1.678, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3153, root_relative_squared_error: 1.2212, scimark_benchmark: 948.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7832, kappa: 0.4743, kb_relative_information_score: -485.9347, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8566, predictive_accuracy: 0.8307, prior_entropy: 1.2149, recall: 0.8307, relative_absolute_error: 1.6841, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3166, root_relative_squared_error: 1.2262, scimark_benchmark: 947.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8877, kappa: 0.7207, kb_relative_information_score: 612.8634, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8837, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5919, scimark_benchmark: 925.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9555, kappa: 0.8897, kb_relative_information_score: 764.2364, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9558, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4598, scimark_benchmark: 912.2053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 944.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919, scimark_benchmark: 877.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9337, kappa: 0.8342, kb_relative_information_score: 654.9288, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9338, predictive_accuracy: 0.9343, prior_entropy: 1.2149, recall: 0.9343, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.135, root_relative_squared_error: 0.5227, scimark_benchmark: 948.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.7697, kappa: 0.4459, kb_relative_information_score: -487.221, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.785, predictive_accuracy: 0.8229, prior_entropy: 1.2149, recall: 0.8229, relative_absolute_error: 1.6852, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.2271, scimark_benchmark: 944.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8228, kappa: 0.531, kb_relative_information_score: 487.4434, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.878, predictive_accuracy: 0.8563, prior_entropy: 1.2149, recall: 0.8563, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.6834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9114, kappa: 0.777, kb_relative_information_score: 655.7502, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9116, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.5605, scimark_benchmark: 947.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8674, kappa: 0.6683, kb_relative_information_score: -471.9582, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8766, predictive_accuracy: 0.8753, prior_entropy: 1.2149, recall: 0.8753, relative_absolute_error: 1.6762, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.2197, scimark_benchmark: 943.4578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9555, kappa: 0.8893, kb_relative_information_score: 768.4507, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9556, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.4505, scimark_benchmark: 946.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.8238, kappa: 0.5149, kb_relative_information_score: -510.5087, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8476, predictive_accuracy: 0.8452, prior_entropy: 1.2149, recall: 0.8452, relative_absolute_error: 1.6935, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.2339, scimark_benchmark: 948.1566,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8763, kappa: 0.6929, kb_relative_information_score: -695.7739, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8777, predictive_accuracy: 0.8797, prior_entropy: 1.2149, recall: 0.8797, relative_absolute_error: 1.9412, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.35, root_relative_squared_error: 1.3554, scimark_benchmark: 939.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.899, kappa: 0.7436, kb_relative_information_score: 614.3628, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8997, predictive_accuracy: 0.9009, prior_entropy: 1.2149, recall: 0.9009, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.6025, scimark_benchmark: 946.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919, scimark_benchmark: 922.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 928.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: -571.7141, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8962, kappa: 0.7435, kb_relative_information_score: -466.8298, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9087, predictive_accuracy: 0.902, prior_entropy: 1.2149, recall: 0.902, relative_absolute_error: 1.6719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.2158, scimark_benchmark: 944.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.841, kappa: 0.5702, kb_relative_information_score: -492.4007, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8562, predictive_accuracy: 0.8552, prior_entropy: 1.2149, recall: 0.8552, relative_absolute_error: 1.685, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3168, root_relative_squared_error: 1.227, scimark_benchmark: 946.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9321, kappa: 0.8291, kb_relative_information_score: 708.753, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9323, predictive_accuracy: 0.9332, prior_entropy: 1.2149, recall: 0.9332, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.4785, scimark_benchmark: 922.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8972, kappa: 0.7459, kb_relative_information_score: -466.7166, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9094, predictive_accuracy: 0.9031, prior_entropy: 1.2149, recall: 0.9031, relative_absolute_error: 1.6717, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.314, root_relative_squared_error: 1.2159, scimark_benchmark: 947.3448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9299, kappa: 0.8247, kb_relative_information_score: 682.4386, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5196, scimark_benchmark: 923.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 945.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 921.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8629, kappa: 0.6458, kb_relative_information_score: 529.3947, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8647, predictive_accuracy: 0.8675, prior_entropy: 1.2149, recall: 0.8675, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.6718, scimark_benchmark: 928.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9652, kappa: 0.8871, kb_relative_information_score: 360.0107, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9809, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.6441, scimark_benchmark: 906.0974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 870.7525, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.1303, scimark_benchmark: 945.6152,

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