Task
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: 0.8561, f_measure: 0.8359, kappa: 0.551, kb_relative_information_score: 404.1681, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8494, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.8355, kb_relative_information_score: 670.1848, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9348, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 1961.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9503, kappa: 0.8763, kb_relative_information_score: 740.149, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.4542, scimark_benchmark: 1987.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9318, kappa: 0.8292, kb_relative_information_score: 667.693, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9325, predictive_accuracy: 0.9332, prior_entropy: 1.2149, recall: 0.9332, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.5088, scimark_benchmark: 939.1987,
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, scimark_benchmark: 906.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 867.1414, mean_absolute_error: 0.0021, 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: 0.0157, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1432, scimark_benchmark: 941.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8448, kappa: 0.5876, kb_relative_information_score: -502.2006, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.851, predictive_accuracy: 0.8552, prior_entropy: 1.2149, recall: 0.8552, relative_absolute_error: 1.6904, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.318, root_relative_squared_error: 1.2313, scimark_benchmark: 948.0656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9243, kappa: 0.8084, kb_relative_information_score: 663.5597, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9241, predictive_accuracy: 0.9254, prior_entropy: 1.2149, recall: 0.9254, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5483, scimark_benchmark: 910.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8741, kappa: 0.6851, kb_relative_information_score: -470.6338, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8837, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 1.6749, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3147, root_relative_squared_error: 1.2186, scimark_benchmark: 947.1113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8862, kappa: 0.7167, kb_relative_information_score: -467.9688, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8868, predictive_accuracy: 0.8875, prior_entropy: 1.2149, recall: 0.8875, relative_absolute_error: 1.6745, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3144, root_relative_squared_error: 1.2178, scimark_benchmark: 949.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9034, kappa: 0.7609, kb_relative_information_score: -464.7171, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9067, predictive_accuracy: 0.9053, prior_entropy: 1.2149, recall: 0.9053, relative_absolute_error: 1.6712, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.2152, scimark_benchmark: 948.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.6587, kb_relative_information_score: -517.5457, mean_absolute_error: 0.2282, 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: 1.6992, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.2383, scimark_benchmark: 947.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8912, kappa: 0.723, kb_relative_information_score: 658.429, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9058, predictive_accuracy: 0.9042, prior_entropy: 1.2149, recall: 0.9042, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5827, scimark_benchmark: 948.7374,
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: 918.8886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9317, kappa: 0.8285, kb_relative_information_score: 668.869, mean_absolute_error: 0.0432, 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: 0.3213, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5075, scimark_benchmark: 944.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8445, kappa: 0.5858, kb_relative_information_score: -502.3524, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8511, predictive_accuracy: 0.8552, prior_entropy: 1.2149, recall: 0.8552, relative_absolute_error: 1.6904, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.318, root_relative_squared_error: 1.2313, scimark_benchmark: 947.2618,
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: 0.7286, f_measure: 0.8237, kappa: 0.5171, kb_relative_information_score: -502.8095, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8425, predictive_accuracy: 0.843, prior_entropy: 1.2149, recall: 0.843, relative_absolute_error: 1.6905, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.318, root_relative_squared_error: 1.2315, scimark_benchmark: 947.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9497, kappa: 0.874, kb_relative_information_score: 722.009, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9497, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.4465, scimark_benchmark: 947.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.7085, kappa: 0.2127, kb_relative_information_score: -515.0167, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.652, predictive_accuracy: 0.7829, prior_entropy: 1.2149, recall: 0.7829, relative_absolute_error: 1.6983, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.2378, scimark_benchmark: 947.1711,
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: 0.9689, f_measure: 0.8932, kappa: 0.7284, kb_relative_information_score: 663.9444, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.91, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.5747, scimark_benchmark: 946.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8968, kappa: 0.7398, kb_relative_information_score: 678.6406, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9129, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.143, root_relative_squared_error: 0.5537, scimark_benchmark: 947.1616,
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, scimark_benchmark: 937.9368,
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: 947.0608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7449, kappa: 0.4503, kb_relative_information_score: 315.7232, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7437, predictive_accuracy: 0.7717, prior_entropy: 1.2149, recall: 0.7717, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8453, scimark_benchmark: 909.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9317, kappa: 0.8271, kb_relative_information_score: 734.6231, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9359, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4932, scimark_benchmark: 910.3965,
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: 0.98, f_measure: 0.9576, kappa: 0.8945, kb_relative_information_score: 774.903, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 1.2149, recall: 0.9577, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4382, scimark_benchmark: 921.7809,
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: 948.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7947, kappa: 0.4606, kb_relative_information_score: 291.6424, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8413, predictive_accuracy: 0.8385, prior_entropy: 1.2149, recall: 0.8385, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8404, scimark_benchmark: 946.3195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.8473, kappa: 0.6206, kb_relative_information_score: -475.8958, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8573, predictive_accuracy: 0.8597, prior_entropy: 1.2149, recall: 0.8597, relative_absolute_error: 1.6791, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3156, root_relative_squared_error: 1.2221, scimark_benchmark: 948.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.8321, kappa: 0.5419, kb_relative_information_score: -500.3465, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8521, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 1.6889, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3176, root_relative_squared_error: 1.2301, scimark_benchmark: 907.6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7762, kappa: 0.4103, kb_relative_information_score: 309.7056, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7791, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8455, scimark_benchmark: 948.2676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8857, kappa: 0.7234, kb_relative_information_score: -684.629, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8891, predictive_accuracy: 0.8875, prior_entropy: 1.2149, recall: 0.8875, relative_absolute_error: 1.9305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3481, root_relative_squared_error: 1.3483, scimark_benchmark: 950.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8669, kappa: 0.6628, kb_relative_information_score: -474.2509, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.88, predictive_accuracy: 0.8775, prior_entropy: 1.2149, recall: 0.8775, 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: 949.7139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8972, kappa: 0.771, kb_relative_information_score: 543.349, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9109, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.637, scimark_benchmark: 947.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.905, kappa: 0.7607, kb_relative_information_score: 643.8701, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9052, predictive_accuracy: 0.9053, prior_entropy: 1.2149, recall: 0.9053, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.6412, scimark_benchmark: 950.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8994, kappa: 0.7492, kb_relative_information_score: -466.3483, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9081, predictive_accuracy: 0.9042, prior_entropy: 1.2149, recall: 0.9042, relative_absolute_error: 1.6714, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.2155, scimark_benchmark: 911.041,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9566, kappa: 0.8923, kb_relative_information_score: 769.3701, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9568, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.4588, scimark_benchmark: 947.1466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 2012.5189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.6587, kb_relative_information_score: -519.9371, mean_absolute_error: 0.2284, 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: 1.7005, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.32, root_relative_squared_error: 1.2391, scimark_benchmark: 2015.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9145, kappa: 0.7868, kb_relative_information_score: 660.5744, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9153, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.5378, scimark_benchmark: 2015.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9251, kappa: 0.8138, kb_relative_information_score: 673.8305, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9262, predictive_accuracy: 0.9254, prior_entropy: 1.2149, recall: 0.9254, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.5702, scimark_benchmark: 2004.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9402, kappa: 0.8488, kb_relative_information_score: 684.9082, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9402, predictive_accuracy: 0.941, prior_entropy: 1.2149, recall: 0.941, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.4946, scimark_benchmark: 2008.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.7679, kappa: 0.5498, kb_relative_information_score: 371.8902, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8707, predictive_accuracy: 0.7461, prior_entropy: 1.2149, recall: 0.7461, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.251, root_relative_squared_error: 0.9721, scimark_benchmark: 2014.1966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9096, kappa: 0.772, kb_relative_information_score: 650.1972, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9097, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.5659, scimark_benchmark: 1973.3916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9476, kappa: 0.8677, kb_relative_information_score: 747.1415, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9511, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.4987, scimark_benchmark: 2009.2733,
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: 1991.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8678, kappa: 0.673, kb_relative_information_score: 572.6156, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8696, predictive_accuracy: 0.8719, prior_entropy: 1.2149, recall: 0.8719, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.6966, scimark_benchmark: 2002.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9495, kappa: 0.873, kb_relative_information_score: 675.7608, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.4779, scimark_benchmark: 949.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.801, kappa: 0.5021, kb_relative_information_score: 407.4713, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8404, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.7074, scimark_benchmark: 918.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8808, kappa: 0.7031, kb_relative_information_score: -471.6925, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8829, predictive_accuracy: 0.8942, prior_entropy: 1.2149, recall: 0.8942, relative_absolute_error: 1.6757, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.2139, scimark_benchmark: 942.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9509, kappa: 0.8775, kb_relative_information_score: 771.003, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9511, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4845, scimark_benchmark: 915.8868,

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

OpenML bootcamp

From your own software

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

OpenML APIs