Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
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  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9838, kappa: 0.9612, kb_relative_information_score: 824.057, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9849, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2415, scimark_benchmark: 944.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 765.7585, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4593, scimark_benchmark: 941.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 865.8549, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1594, scimark_benchmark: 576.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9874, kappa: 0.9691, kb_relative_information_score: 846.7362, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9874, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2219, scimark_benchmark: 926.1726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.5124, 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: 579.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9933, kappa: 0.9832, kb_relative_information_score: 863.2374, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1708, scimark_benchmark: 943.4426,
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,
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: 0.7197, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 413.4812, mean_absolute_error: 0.055, 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: 0.4099, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8883, scimark_benchmark: 942.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9884, kappa: 0.9719, kb_relative_information_score: 837.8904, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9888, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.2297, scimark_benchmark: 948.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2409, mean_absolute_error: 0.0011, 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: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 949.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8897, kappa: 0.7375, kb_relative_information_score: 638.1949, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9339, predictive_accuracy: 0.8731, prior_entropy: 1.2149, recall: 0.8731, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6787, scimark_benchmark: 927.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 863.7881, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.1667, scimark_benchmark: 945.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9909, kappa: 0.9777, kb_relative_information_score: 844.5962, mean_absolute_error: 0.0068, 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: 0.0503, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.2195, scimark_benchmark: 947.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 865.6896, mean_absolute_error: 0.0018, 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: 0.0135, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1572, scimark_benchmark: 924.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9918, kappa: 0.9804, kb_relative_information_score: 852.3591, 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: 0.0204, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1978, scimark_benchmark: 907.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 766.5883, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9551, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4564, scimark_benchmark: 925.8492,
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: 0.9735, f_measure: 0.9696, kappa: 0.9244, kb_relative_information_score: 794.095, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9694, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3774, scimark_benchmark: 925.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 838.0033, mean_absolute_error: 0.0081, 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: 0.06, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.2259, scimark_benchmark: 910.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9731, kappa: 0.933, kb_relative_information_score: 809.301, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9735, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.3456, scimark_benchmark: 941.3209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9967, kappa: 0.9917, kb_relative_information_score: 871.2057, mean_absolute_error: 0.0011, 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: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 942.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 869.2259, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9957, 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: 942.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9921, kappa: 0.9804, kb_relative_information_score: 840.4876, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9921, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 323.5628, mean_absolute_error: 0.0943, 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: 0.702, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.788, scimark_benchmark: 947.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9769, kappa: 0.9436, kb_relative_information_score: -451.8011, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.203, scimark_benchmark: 943.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9854, kappa: 0.9639, kb_relative_information_score: 842.6789, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.2255, scimark_benchmark: 945.3298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9918, kappa: 0.9804, kb_relative_information_score: 852.3591, 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: 0.0204, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1978, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9954, kappa: 0.9889, kb_relative_information_score: 865.7482, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9957, 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: 928.8864,
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: 940.946,
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: 0.9915, f_measure: 0.9921, kappa: 0.9804, kb_relative_information_score: 842.0046, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9921, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.2055, scimark_benchmark: 919.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 861.7753, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1827, scimark_benchmark: 913.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 840.3983, mean_absolute_error: 0.0087, 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: 0.0651, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.2049, scimark_benchmark: 929.1572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.967, kappa: 0.9213, kb_relative_information_score: 800.3356, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9692, predictive_accuracy: 0.9688, prior_entropy: 1.2149, recall: 0.9688, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3738, scimark_benchmark: 939.0586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9599, kappa: 0.897, kb_relative_information_score: 773.5914, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9673, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.4069, scimark_benchmark: 858.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9455, kappa: 0.8724, kb_relative_information_score: 642.0264, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9412, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.4978, scimark_benchmark: 908.0691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 840.3983, mean_absolute_error: 0.0087, 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: 0.0651, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.2049, scimark_benchmark: 575.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 318.4112, mean_absolute_error: 0.0957, 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: 0.7124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8002, scimark_benchmark: 902.2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 830.2091, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.239, scimark_benchmark: 900.2832,
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: 0.9655, f_measure: 0.9709, kappa: 0.9278, kb_relative_information_score: 804.8226, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9711, predictive_accuracy: 0.971, prior_entropy: 1.2149, recall: 0.971, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3735, scimark_benchmark: 926.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 419.2389, mean_absolute_error: 0.0547, 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: 0.407, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.8585, scimark_benchmark: 945.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9921, kappa: 0.9804, kb_relative_information_score: 847.5206, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9921, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9899, kappa: 0.9749, kb_relative_information_score: 855.5951, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2092, scimark_benchmark: 945.5368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9912, kappa: 0.9778, kb_relative_information_score: -447.7249, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9915, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 1.6563, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.203, scimark_benchmark: 949.9003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 840.1278, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2517, scimark_benchmark: 919.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9854, kappa: 0.9641, kb_relative_information_score: 831.1248, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2374, scimark_benchmark: 910.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.8199, kappa: 0.4951, kb_relative_information_score: -513.306, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8744, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 1.6939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3187, root_relative_squared_error: 1.2342, scimark_benchmark: 948.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9633, kappa: 0.9185, kb_relative_information_score: 779.8766, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9624, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3728, scimark_benchmark: 947.1034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 0.9762, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.1915, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974, usercpu_time_millis: 4.06, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 3.92,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Associated dataset does not have quality (default evaluation engine): NumberOfInstances
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974, usercpu_time_millis: 5.167, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 4.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974, usercpu_time_millis: 5.12, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 4.81,

Metric:

Timeline

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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

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