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: 0.992, build_cpu_time: 68.311, build_memory: 16847328984, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, 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: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 536.3462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.543, build_memory: 12475026539.035, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 531.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 1.1246, build_memory: 16100749622.984, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 616.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 1.0577, build_memory: 18228539815.797, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 607.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 1.0478, build_memory: 13091488729.968, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 609.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0039, build_memory: 67365685.3274, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 526.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 0.2928, build_memory: 88021002.9844, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 849.8248, mean_absolute_error: 0.0058, 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: 0.0433, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1999, scimark_benchmark: 942.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 0.2967, build_memory: 74488147.706, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 849.8248, mean_absolute_error: 0.0058, 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: 0.0433, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1999, scimark_benchmark: 947.2075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 0.6457, build_memory: 108842359.1982, f_measure: 0.9907, kappa: 0.9776, kb_relative_information_score: 848.249, mean_absolute_error: 0.0062, 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: 0.0463, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.2057, scimark_benchmark: 943.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 5.3255, build_memory: 308578277.3719, f_measure: 0.9874, kappa: 0.9694, kb_relative_information_score: 838.0235, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.2253, scimark_benchmark: 940.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 5.3119, build_memory: 397078181.7016, f_measure: 0.9874, kappa: 0.9694, kb_relative_information_score: 838.0235, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.2253, scimark_benchmark: 946.1752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 30.1543, build_memory: 130372454.4, f_measure: 0.9843, kappa: 0.9636, kb_relative_information_score: 702.0736, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3628, scimark_benchmark: 1610.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 2.6697, build_memory: 1186749869.1047, 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: 937.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0032, build_memory: 49068596.0267, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 597.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0023, build_memory: 62755112.0802, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1768.0907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0016, build_memory: 60948412.7305, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1801.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.002, build_memory: 61907203.9376, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1730.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0018, build_memory: 63540912.7929, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1763.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0005, build_memory: 48626217.5857, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1911.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.0011, build_memory: 43655649.0601, 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: 1761.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.0045, build_memory: 37652990.6192, 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: 1997.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.0551, build_memory: 59665605.2205, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1997.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, build_cpu_time: 0.1056, build_memory: 163695375.2606, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: -451.2056, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9731, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.205, scimark_benchmark: 1997.2337,
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: 0.4915, 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: 0.9968, build_cpu_time: 1266.7618, build_memory: 72388819.7684, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 846.8746, mean_absolute_error: 0.0072, 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: 0.0535, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.185, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 683.6486, build_memory: 1702177845.069, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 846.5755, mean_absolute_error: 0.0072, 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: 0.0538, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1868, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, build_cpu_time: 0.0038, build_memory: 82625596.3474, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 1469.6837,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.4 not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.4 not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.4).
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: 0.9973, build_cpu_time: 362.2692, build_memory: 64832035.1002, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 846.9619, mean_absolute_error: 0.0071, 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: 0.0532, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1855, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 151.5381, build_memory: 41219391.029, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 847.5614, mean_absolute_error: 0.007, 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: 0.0521, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1861, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 172.4656, build_memory: 136201714.6459, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 845.1925, mean_absolute_error: 0.0074, 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: 0.0553, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1963, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 0.0032, build_memory: 985616000.0089, 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: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 0.0034, build_memory: 998713193.7817, 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: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, build_cpu_time: 0.0058, build_memory: 2094847553.5323, f_measure: 0.9433, kappa: 0.8667, kb_relative_information_score: 642.3223, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.939, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4976, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 0.0106, build_memory: 196202198.0045, f_measure: 0.9431, kappa: 0.8662, kb_relative_information_score: 641.8607, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9387, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.128, root_relative_squared_error: 0.4958, scimark_benchmark: 1306.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 0.0087, build_memory: 834738995.8218, f_measure: 0.9431, kappa: 0.8662, kb_relative_information_score: 641.8607, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9387, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.128, root_relative_squared_error: 0.4958, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 0.0325, build_memory: 499562478.8775, f_measure: 0.9431, kappa: 0.8662, kb_relative_information_score: 641.9119, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9387, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4967, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 0.0295, build_memory: 95252675.804, f_measure: 0.9431, kappa: 0.8662, kb_relative_information_score: 641.9119, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9387, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4967, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.0389, build_memory: 788267144.4543, f_measure: 0.9431, kappa: 0.8662, kb_relative_information_score: 642.8171, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9387, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.128, root_relative_squared_error: 0.4957, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0027, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 626.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.003, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 795.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0023, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 791.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0005, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 761.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0002, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 761.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.1375, build_memory: 122889053.1492, f_measure: 0.8868, kappa: 0.7261, kb_relative_information_score: 625.0629, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9119, predictive_accuracy: 0.8753, prior_entropy: 1.2149, recall: 0.8753, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.7285, scimark_benchmark: 1526.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.0641, build_memory: 230984574.9488, f_measure: 0.9862, kappa: 0.9663, kb_relative_information_score: 595.94, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.4857, scimark_benchmark: 1526.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 6254.6539, build_memory: 898544542.8062, 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, scimark_benchmark: 943.4955,
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 - 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 - 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 - 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: 0.9811, f_measure: 0.9832, kappa: 0.9611, kb_relative_information_score: 831.7751, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9847, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2792, scimark_benchmark: 1727.0629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1768.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 348.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, build_cpu_time: 0.2631, build_memory: 226221848.4098, f_measure: 0.8875, kappa: 0.7319, kb_relative_information_score: 625.835, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9339, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.184, root_relative_squared_error: 0.7124, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 0.7893, build_memory: 170992068.2405, f_measure: 0.9865, kappa: 0.9667, kb_relative_information_score: 833.7952, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2224, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, build_cpu_time: 0.1338, build_memory: 569872576.3385, 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: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 2.3413, build_memory: 450373210.5924, f_measure: 0.991, kappa: 0.9777, kb_relative_information_score: 841.3218, mean_absolute_error: 0.0079, 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: 0.059, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2007, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 2.5044, build_memory: 900118872.8196, f_measure: 0.991, kappa: 0.9777, kb_relative_information_score: 841.3218, mean_absolute_error: 0.0079, 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: 0.059, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2007, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, build_cpu_time: 0.0624, build_memory: 1164280610.2984, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 414.7169, 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: 0.4072, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9001, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 4.575, build_memory: 683443066.4677, f_measure: 0.9896, kappa: 0.9748, kb_relative_information_score: 839.3878, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.199, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 4.5914, build_memory: 940228966.0134, f_measure: 0.9896, kappa: 0.9748, kb_relative_information_score: 839.3878, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.199, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 4.5887, build_memory: 955847990.0223, f_measure: 0.9896, kappa: 0.9748, kb_relative_information_score: 839.3878, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.199, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, build_cpu_time: 0.0222, build_memory: 164985876.5434, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 414.3159, mean_absolute_error: 0.0548, 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: 0.4081, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.8959, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.5038, build_memory: 927844549.8263, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.617, build_memory: 569857251.9733, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.7576, build_memory: 1604441714.4944, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.9152, build_memory: 821098380.3742, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, build_cpu_time: 0.0205, build_memory: 1035449199.608, 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: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.8182, build_memory: 355709719.7506, f_measure: 0.9909, kappa: 0.9777, kb_relative_information_score: 822.8663, mean_absolute_error: 0.0139, 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: 0.1035, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.2186, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 2.27, build_memory: 1176060607.5457, f_measure: 0.9909, kappa: 0.9777, kb_relative_information_score: 823.0981, mean_absolute_error: 0.0139, 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: 0.1032, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.2159, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 4.1558, build_memory: 749565045.7728, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.6885, mean_absolute_error: 0.014, 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: 0.1043, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2147, scimark_benchmark: 871.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 7.8311, build_memory: 1918865465.5768, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.413, mean_absolute_error: 0.0141, 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: 0.1046, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2152, scimark_benchmark: 911.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 8.1764, build_memory: 1143024971.5813, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.413, mean_absolute_error: 0.0141, 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: 0.1046, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2152, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 15.3617, build_memory: 1762215371.0379, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.3323, mean_absolute_error: 0.0141, 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: 0.1047, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.2151, scimark_benchmark: 885.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 0.2508, build_memory: 2249808786.1737, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 834.1554, mean_absolute_error: 0.011, 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: 0.0821, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1945, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.1505, build_memory: 2866483903.5902, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 834.4307, mean_absolute_error: 0.0109, 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: 0.0809, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1972, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.0705, build_memory: 180467887.4655, f_measure: 0.9945, kappa: 0.9861, kb_relative_information_score: 834.0761, mean_absolute_error: 0.0109, 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: 0.0809, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1972, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.0185, build_memory: 519674434.922, f_measure: 0.991, kappa: 0.9777, kb_relative_information_score: 830.3004, mean_absolute_error: 0.0111, 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: 0.0829, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.2282, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 0.1605, build_memory: 927060497.0601, 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: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.2089, build_memory: 1657090280.0802, f_measure: 0.9865, kappa: 0.9668, kb_relative_information_score: 829.0746, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9864, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.242, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.4464, build_memory: 1027085383.5902, f_measure: 0.9896, kappa: 0.9749, kb_relative_information_score: 829.1384, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.2344, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 18.4441, build_memory: 761157163.8753, 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: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 18.4361, build_memory: 1507134258.9042, 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: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1685.2054, usercpu_time_millis_testing: 8, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1725.0504, usercpu_time_millis_testing: 9, usercpu_time_millis_training: 1,
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: 1725.0504, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, 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: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1725.0504, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1885.4031, usercpu_time_millis_testing: 8, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 4.4526, build_memory: 443402358.5835, f_measure: 0.9771, kappa: 0.9438, kb_relative_information_score: -451.822, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 1.6599, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.203, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 2.8003, build_memory: 865816579.1893, f_measure: 0.978, kappa: 0.9461, kb_relative_information_score: -451.7578, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9785, predictive_accuracy: 0.9788, prior_entropy: 1.2149, recall: 0.9788, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.2027, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 1.24, build_memory: 876686328.8998, f_measure: 0.9719, kappa: 0.9318, kb_relative_information_score: -452.0551, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9729, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6599, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.2025, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, 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: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1716.3086, usercpu_time_millis: 19, usercpu_time_millis_testing: 9, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, 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: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1763.3883, usercpu_time_millis: 10000000, usercpu_time_millis_testing: 10000000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, 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: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1756.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, 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: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1765.7561, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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