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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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: 0.9872, f_measure: 0.9603, kappa: 0.9011, kb_relative_information_score: 761.4775, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.101, root_relative_squared_error: 0.391, scimark_benchmark: 942.7897,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9909, kappa: 0.9777, kb_relative_information_score: 840.2923, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.054, root_relative_squared_error: 0.209, scimark_benchmark: 903.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 858.8617, mean_absolute_error: 0.0027, 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: 0.0199, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1952, scimark_benchmark: 938.2202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9442, kappa: 0.8616, kb_relative_information_score: 642.8661, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9462, predictive_accuracy: 0.9432, prior_entropy: 1.2149, recall: 0.9432, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.518, scimark_benchmark: 914.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9463, kappa: 0.8653, kb_relative_information_score: 675.6734, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9464, predictive_accuracy: 0.9465, prior_entropy: 1.2149, recall: 0.9465, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.4766, scimark_benchmark: 926.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9804, kappa: 0.9527, kb_relative_information_score: 767.4708, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 1.2149, recall: 0.9811, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3152, scimark_benchmark: 946.2596,
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,
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: 0.9636, 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: 0.9085, 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: 924.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9194, kappa: 0.8015, kb_relative_information_score: 696.5501, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9226, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.138, root_relative_squared_error: 0.5342, scimark_benchmark: 943.6362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8932, kappa: 0.7268, kb_relative_information_score: 619.4869, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8994, predictive_accuracy: 0.9009, prior_entropy: 1.2149, recall: 0.9009, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.149, root_relative_squared_error: 0.5772, scimark_benchmark: 909.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9653, kappa: 0.9132, kb_relative_information_score: 803.8873, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9652, predictive_accuracy: 0.9655, prior_entropy: 1.2149, recall: 0.9655, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.405, scimark_benchmark: 928.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9567, kappa: 0.8931, kb_relative_information_score: 769.5468, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9571, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.3906, scimark_benchmark: 943.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.7716, kappa: 0.4291, kb_relative_information_score: 330.9252, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7423, predictive_accuracy: 0.8274, prior_entropy: 1.2149, recall: 0.8274, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8098, scimark_benchmark: 937.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9513, kappa: 0.8789, kb_relative_information_score: 773.5448, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9518, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.126, root_relative_squared_error: 0.4881, scimark_benchmark: 943.6883,
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: 0.9846, f_measure: 0.9347, kappa: 0.8364, kb_relative_information_score: 678.7255, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9357, predictive_accuracy: 0.9365, prior_entropy: 1.2149, recall: 0.9365, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.491, scimark_benchmark: 941.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9497, kappa: 0.8745, kb_relative_information_score: 768.9567, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.126, root_relative_squared_error: 0.488, scimark_benchmark: 939.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9544, kappa: 0.8861, kb_relative_information_score: 776.6185, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9545, predictive_accuracy: 0.9543, prior_entropy: 1.2149, recall: 0.9543, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.121, root_relative_squared_error: 0.4687, scimark_benchmark: 947.7227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9397, kappa: 0.8488, kb_relative_information_score: 748.477, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 1.2149, recall: 0.9399, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.5136, scimark_benchmark: 932.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9165, kappa: 0.7887, kb_relative_information_score: 683.4705, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9163, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.5199, scimark_benchmark: 902.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9508, kappa: 0.8771, kb_relative_information_score: 767.4556, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9508, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.4908, scimark_benchmark: 945.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8899, kappa: 0.7211, kb_relative_information_score: 615.2232, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.889, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.6031, scimark_benchmark: 945.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9512, kappa: 0.8791, kb_relative_information_score: 771.3409, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9521, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.4481, scimark_benchmark: 942.1355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9445, kappa: 0.8618, kb_relative_information_score: 758.2211, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9449, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.5194, scimark_benchmark: 946.128,
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 - 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: 0.9867, f_measure: 0.9836, kappa: 0.9582, kb_relative_information_score: 664.2475, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3904, scimark_benchmark: 945.4074,
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: 0.9875, f_measure: 0.9579, kappa: 0.8948, kb_relative_information_score: 764.4439, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9581, predictive_accuracy: 0.9588, prior_entropy: 1.2149, recall: 0.9588, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3836, scimark_benchmark: 944.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9465, kappa: 0.8664, kb_relative_information_score: 719.5629, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.947, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4594, scimark_benchmark: 933.9241,
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: 947.0872,
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: 0.9862, f_measure: 0.9415, kappa: 0.8533, kb_relative_information_score: 715.3918, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 1.2149, recall: 0.9421, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 838.8952, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2128, scimark_benchmark: 928.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9786, kappa: 0.9466, kb_relative_information_score: 826.4661, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9787, predictive_accuracy: 0.9788, prior_entropy: 1.2149, recall: 0.9788, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.714, kappa: 0.2272, kb_relative_information_score: 399.4572, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7023, predictive_accuracy: 0.7773, prior_entropy: 1.2149, recall: 0.7773, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.8477, scimark_benchmark: 949.187,
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: 0.9924, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 762.6104, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9792, predictive_accuracy: 0.9788, prior_entropy: 1.2149, recall: 0.9788, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.3198, scimark_benchmark: 863.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9555, kappa: 0.8897, kb_relative_information_score: 782.3046, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9557, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.46, scimark_benchmark: 926.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9509, kappa: 0.8775, kb_relative_information_score: 768.0384, mean_absolute_error: 0.0172, 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: 0.128, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.4896, scimark_benchmark: 934.2076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 414.8389, 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: 0.4069, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9022, scimark_benchmark: 943.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9418, kappa: 0.8568, kb_relative_information_score: 730.8395, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.945, predictive_accuracy: 0.941, prior_entropy: 1.2149, recall: 0.941, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.4627, scimark_benchmark: 939.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.8568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4765, scimark_benchmark: 945.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8021, kappa: 0.5984, kb_relative_information_score: 479.2935, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.878, predictive_accuracy: 0.7851, prior_entropy: 1.2149, recall: 0.7851, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9904, scimark_benchmark: 930.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 846.9216, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.055, root_relative_squared_error: 0.2129, scimark_benchmark: 949.407,
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 - 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: 0.9936, f_measure: 0.9856, kappa: 0.964, kb_relative_information_score: 844.6958, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2712, scimark_benchmark: 932.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.514, kappa: 0.0668, kb_relative_information_score: -244.3622, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6152, predictive_accuracy: 0.4855, prior_entropy: 1.2149, recall: 0.4855, relative_absolute_error: 1.2769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.6037, scimark_benchmark: 943.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9633, kappa: 0.9086, kb_relative_information_score: 796.1711, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9636, predictive_accuracy: 0.9633, prior_entropy: 1.2149, recall: 0.9633, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.423, scimark_benchmark: 945.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9473, kappa: 0.8679, kb_relative_information_score: 763.5338, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9471, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.4862, scimark_benchmark: 943.1577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.945, kappa: 0.8613, kb_relative_information_score: 742.3081, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9491, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.4755, scimark_benchmark: 944.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9105, kappa: 0.7985, kb_relative_information_score: 564.7302, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9196, predictive_accuracy: 0.9243, prior_entropy: 1.2149, recall: 0.9243, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.6085, scimark_benchmark: 935.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9489, kappa: 0.8719, kb_relative_information_score: 696.2635, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9492, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.4621, scimark_benchmark: 942.4242,
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: 0.9908, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 846.9216, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.055, root_relative_squared_error: 0.2129, scimark_benchmark: 945.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9497, kappa: 0.873, kb_relative_information_score: 767.4048, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.126, root_relative_squared_error: 0.488, scimark_benchmark: 894.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9472, kappa: 0.8684, kb_relative_information_score: 676.3603, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.4732, scimark_benchmark: 882.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9836, kappa: 0.9636, kb_relative_information_score: 818.4799, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2565, scimark_benchmark: 944.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9495, kappa: 0.8793, kb_relative_information_score: 760.8015, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9545, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.104, root_relative_squared_error: 0.4028, scimark_benchmark: 924.3154,
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: 0.9729, f_measure: 0.8997, kappa: 0.7666, kb_relative_information_score: 568.0301, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6786, scimark_benchmark: 945.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8997, kappa: 0.7666, kb_relative_information_score: 568.0301, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6786, scimark_benchmark: 946.2225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8997, kappa: 0.7666, kb_relative_information_score: 568.0301, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6786, scimark_benchmark: 943.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9252, kappa: 0.8016, kb_relative_information_score: 285.2282, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9332, predictive_accuracy: 0.9198, prior_entropy: 1.2149, recall: 0.9198, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.7387, scimark_benchmark: 946.2391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 846.9216, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.055, root_relative_squared_error: 0.2129, scimark_benchmark: 942.0488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.4853, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1492, scimark_benchmark: 940.2001,
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 - 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: 0.9862, f_measure: 0.9426, kappa: 0.8567, kb_relative_information_score: 714.5172, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 1.2149, recall: 0.9432, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.4588, scimark_benchmark: 921.3912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.892, kappa: 0.728, kb_relative_information_score: 625.9553, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8912, predictive_accuracy: 0.8987, prior_entropy: 1.2149, recall: 0.8987, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.5986, scimark_benchmark: 948.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9662, kappa: 0.9174, kb_relative_information_score: 800.5652, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 1.2149, recall: 0.9677, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3647, scimark_benchmark: 933.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.951, kappa: 0.8775, kb_relative_information_score: 773.5953, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4829, scimark_benchmark: 902.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 863.8904, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.1602, scimark_benchmark: 918.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9532, kappa: 0.8838, kb_relative_information_score: 779.0401, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9533, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4714, scimark_benchmark: 950.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9742, kappa: 0.9353, kb_relative_information_score: 813.7217, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9743, predictive_accuracy: 0.9744, prior_entropy: 1.2149, recall: 0.9744, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.312, scimark_benchmark: 940.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9502, kappa: 0.8765, kb_relative_information_score: 769.3981, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9512, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.4667, scimark_benchmark: 577.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9545, kappa: 0.8872, kb_relative_information_score: 782.1049, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9548, predictive_accuracy: 0.9543, prior_entropy: 1.2149, recall: 0.9543, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.4614, scimark_benchmark: 571.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7459, kappa: 0.3375, kb_relative_information_score: 339.7091, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7249, predictive_accuracy: 0.8062, prior_entropy: 1.2149, recall: 0.8062, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.8685, scimark_benchmark: 444.29,
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: 0.9662, f_measure: 0.969, kappa: 0.9251, kb_relative_information_score: 797.0849, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9696, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.3877, scimark_benchmark: 945.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9378, kappa: 0.8506, kb_relative_information_score: 702.3685, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9411, predictive_accuracy: 0.941, prior_entropy: 1.2149, recall: 0.941, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.4781, scimark_benchmark: 576.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 863.213, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1647, scimark_benchmark: 918.2657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9337, kappa: 0.8339, kb_relative_information_score: 677.4422, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9347, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4934, scimark_benchmark: 906.3561,
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 - 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: 0.9471, f_measure: 0.951, kappa: 0.8775, kb_relative_information_score: 773.5953, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4829, scimark_benchmark: 941.5757,
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: 920.2198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.8568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4765, scimark_benchmark: 879.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9479, kappa: 0.868, kb_relative_information_score: 742.8533, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9493, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.4883, scimark_benchmark: 919.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8863, kappa: 0.7223, kb_relative_information_score: -466.9187, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8879, predictive_accuracy: 0.8886, prior_entropy: 1.2149, recall: 0.8886, relative_absolute_error: 1.6738, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3144, root_relative_squared_error: 1.2174, scimark_benchmark: 911.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6587, kb_relative_information_score: -524.3783, mean_absolute_error: 0.2287, 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: 1.7029, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.2415, scimark_benchmark: 923.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9477, kappa: 0.8689, kb_relative_information_score: 695.6526, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.903, kappa: 0.7532, kb_relative_information_score: 622.1223, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.903, predictive_accuracy: 0.9053, prior_entropy: 1.2149, recall: 0.9053, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5885, scimark_benchmark: 945.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9394, kappa: 0.8473, kb_relative_information_score: 684.6063, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9394, predictive_accuracy: 0.9399, prior_entropy: 1.2149, recall: 0.9399, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4937, scimark_benchmark: 948.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.8389, kappa: 0.5636, kb_relative_information_score: -497.1349, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8555, predictive_accuracy: 0.8541, prior_entropy: 1.2149, recall: 0.8541, relative_absolute_error: 1.6872, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.2288, scimark_benchmark: 948.0893,

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