Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
1 likes downloaded by 5 people , 14 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
Issue #Downvotes for this reason By


Metric:

950 Runs

Fetching data
Fetching data
Search runs in more detail
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: 0.9915, 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: 0.9944, 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: 924.4246,
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: 927.7319,
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: 937.5408,
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 - 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: 0.9959, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, 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: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549,
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: 0.9893, 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 - 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,
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: 0.9978, 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: 0.9918, 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: 0.9372, f_measure: 0.7981, kappa: 0.4789, kb_relative_information_score: 483.4414, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7945, predictive_accuracy: 0.843, prior_entropy: 1.2149, recall: 0.843, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.787, scimark_benchmark: 922.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9877, kappa: 0.9691, kb_relative_information_score: 829.914, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9877, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2435,
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 - 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: 0.9567, f_measure: 0.8726, kappa: 0.6856, kb_relative_information_score: 455.4587, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8752, predictive_accuracy: 0.8853, prior_entropy: 1.2149, recall: 0.8853, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.6631, scimark_benchmark: 946.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9874, kappa: 0.9695, kb_relative_information_score: 824.4738, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.2408, scimark_benchmark: 947.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9923, kappa: 0.9806, kb_relative_information_score: 861.1957, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9924, 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: 0.0511, root_relative_squared_error: 0.1979, scimark_benchmark: 929.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, 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: 945.7615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.985, kappa: 0.9633, kb_relative_information_score: 845.0068, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.985, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.2185, scimark_benchmark: 938.5769,
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: 947.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9662, kappa: 0.9165, kb_relative_information_score: 791.1398, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3794, scimark_benchmark: 940.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8083, kappa: 0.5178, kb_relative_information_score: 391.7992, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.845, predictive_accuracy: 0.853, prior_entropy: 1.2149, recall: 0.853, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.7139, scimark_benchmark: 943.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9898, kappa: 0.975, kb_relative_information_score: 844.3007, mean_absolute_error: 0.0068, 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: 0.0507, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.2192, scimark_benchmark: 944.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 318.7846, mean_absolute_error: 0.0955, 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: 0.7109, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8005, scimark_benchmark: 942.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9626, kappa: 0.9086, kb_relative_information_score: 764.7831, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9639, predictive_accuracy: 0.9633, prior_entropy: 1.2149, recall: 0.9633, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4078, scimark_benchmark: 936.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9863, kappa: 0.9667, kb_relative_information_score: 838.0385, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9869, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, 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: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 913.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, 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: 920.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9865, kappa: 0.9664, kb_relative_information_score: 842.3304, mean_absolute_error: 0.0053, 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: 0.0394, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.2498, scimark_benchmark: 909.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 832.8781, mean_absolute_error: 0.011, 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: 0.0819, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.2057, scimark_benchmark: 945.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, 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: 945.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 846.8608, mean_absolute_error: 0.0053, 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: 0.0398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2233, scimark_benchmark: 932.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.1971, 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: 927.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, 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: 938.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 925.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9583, kappa: 0.8981, kb_relative_information_score: 713.2984, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9615, predictive_accuracy: 0.9588, prior_entropy: 1.2149, recall: 0.9588, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.433, scimark_benchmark: 916.3273,
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: 0.994, 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: 924.9648,
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: 868.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, 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: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 945.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9855, kappa: 0.9642, kb_relative_information_score: 843.4653, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9862, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2408, 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: 930.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 936.2808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9933, kappa: 0.9832, kb_relative_information_score: 841.9951, mean_absolute_error: 0.0072, 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: 0.0535, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.2068, scimark_benchmark: 925.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, 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: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 932.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9338, kappa: 0.8352, kb_relative_information_score: 734.7777, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9485, predictive_accuracy: 0.9276, prior_entropy: 1.2149, recall: 0.9276, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.5794, scimark_benchmark: 941.5587,
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: 0.9923, f_measure: 0.9607, kappa: 0.8995, kb_relative_information_score: 778.4307, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9677, predictive_accuracy: 0.9577, prior_entropy: 1.2149, recall: 0.9577, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3968, scimark_benchmark: 931.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9745, kappa: 0.9365, kb_relative_information_score: 790.1328, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9751, predictive_accuracy: 0.9744, prior_entropy: 1.2149, recall: 0.9744, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3552, scimark_benchmark: 945.7935,
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: 939.3188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9898, kappa: 0.9748, kb_relative_information_score: 849.5829, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9898, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, 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: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 886.5094,
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: 0.9978, 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: 896.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9107, kappa: 0.7778, kb_relative_information_score: 687.2187, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9098, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.524, scimark_benchmark: 944.3804,
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: 1955.5521,
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: 1913.8221,
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: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9954, kappa: 0.9889, kb_relative_information_score: 865.755, 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: 895.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 870.5969, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0343, root_relative_squared_error: 0.133, scimark_benchmark: 595.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9043, kappa: 0.7647, kb_relative_information_score: 670.6988, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9425, predictive_accuracy: 0.8886, prior_entropy: 1.2149, recall: 0.8886, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9907, kappa: 0.9776, kb_relative_information_score: 848.5908, 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: 0.0458, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.2038, scimark_benchmark: 892.4109,
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: 1975.2422,
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: 829.8727,
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: 839.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0001, build_memory: 7025684.8, 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: 815.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0027, build_memory: 65439273.6, 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: 838.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0072, build_memory: 55911724.8, 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: 832.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.028, build_memory: 52216975.2, 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: 1899.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0133, build_memory: 52605223.2, 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: 1879.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0266, build_memory: 45875489.6, 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: 1811.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0013, build_memory: 67251440, 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: 1778.3766,
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: 862.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.0791, build_memory: 280351538.4, f_measure: 0.9832, kappa: 0.961, kb_relative_information_score: 822.6564, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9848, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.273, scimark_benchmark: 1692.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0057, build_memory: 54386009.6, 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: 400.6521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0026, build_memory: 55107076.8, 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: 401.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0012, build_memory: 56037719.2, 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: 397.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.0037, build_memory: 51528661.6, 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: 1817.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.002, build_memory: 62234113.6, 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: 1797.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.0011, build_memory: 45084531.2, 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: 1768.6229,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0018, build_memory: 40443896.8, 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: 732.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0025, build_memory: 43595247.2, 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: 710.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, build_cpu_time: 0.0111, build_memory: 72034923.2, 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: 777.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.1452, build_memory: 66294371.2, 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: 383.2575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0603, build_memory: 83781117.6, 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: 378.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0482, build_memory: 99463849.6, 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: 394.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 1.245, build_memory: 604975584, 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: 356.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 1.211, build_memory: 594818616, 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: 377.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.1317, build_memory: 54108604.3385, 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: 394.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0054, build_memory: 76927695.3942, 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: 378.1483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 66.179, build_memory: 14207141752, 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: 564.5587,

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