OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 4 Supervised Classification labor 6416 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
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6416 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 947.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 46.5028, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4056, scimark_benchmark: 929.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.3407, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7356, scimark_benchmark: 927.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8916, kappa: 0.7578, kb_relative_information_score: 42.101, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8989, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6643, scimark_benchmark: 932.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.4464, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6593, scimark_benchmark: 920.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 48.8357, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4671, scimark_benchmark: 924.6313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 40.7517, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7347, scimark_benchmark: 945.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 922.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 42.9226, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6625, scimark_benchmark: 945.4056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 49.7781, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4764, scimark_benchmark: 943.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.8246, kappa: 0.6149, kb_relative_information_score: 27.7117, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8246, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8227, scimark_benchmark: 929.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9128, kappa: 0.8096, kb_relative_information_score: 44.7619, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9138, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5953, scimark_benchmark: 944.2306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.5484, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6529, scimark_benchmark: 859.9449,
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: 0.948, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 49.9501, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4807, scimark_benchmark: 923.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 49.9334, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4799, scimark_benchmark: 935.5012,
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: 0.9703, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 37.5808, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5753, scimark_benchmark: 931.6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 42.5265, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6734, scimark_benchmark: 931.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 40.2372, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4819, scimark_benchmark: 935.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 31.3516, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6104, scimark_benchmark: 947.2632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 42.2037, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4877, scimark_benchmark: 943.877,
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: 0.9351, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.0457, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 943.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 41.4476, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.701, scimark_benchmark: 945.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.4446, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.78, scimark_benchmark: 925.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8555, kappa: 0.6771, kb_relative_information_score: 35.5713, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8611, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7043, scimark_benchmark: 922.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.4244, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 945.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 39.1361, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5127, scimark_benchmark: 944.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 42.6211, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6846, scimark_benchmark: 941.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8275, kappa: 0.6318, kb_relative_information_score: 37.1883, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8387, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.611, scimark_benchmark: 940.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 52.2126, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3925, scimark_benchmark: 939.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 31.7068, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6079, scimark_benchmark: 946.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 29.1858, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7259, scimark_benchmark: 940.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 944.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 35.2657, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8178, scimark_benchmark: 942.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 32.5519, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6493, scimark_benchmark: 947.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9463, kappa: 0.8803, kb_relative_information_score: 44.2171, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9513, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.443, scimark_benchmark: 918.0747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 42.0397, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5716, scimark_benchmark: 933.5992,
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: 0.9838, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 39.8352, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5069, scimark_benchmark: 944.2407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 44.9341, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4999, scimark_benchmark: 921.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 44.974, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6189, scimark_benchmark: 881.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.5087, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5419, scimark_benchmark: 943.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 29.8818, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6632, scimark_benchmark: 915.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 945.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9645, kappa: 0.9212, kb_relative_information_score: 45.3253, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9667, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4299, scimark_benchmark: 571.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9645, kappa: 0.9212, kb_relative_information_score: 43.8095, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9667, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 37.8337, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6473, scimark_benchmark: 928.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7895, kappa: 0.5378, kb_relative_information_score: 30.0961, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8301, scimark_benchmark: 947.6946,
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: 0.9007, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 41.5782, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6625, scimark_benchmark: 943.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 31.7068, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6079, scimark_benchmark: 942.5978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 35.2657, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8178, scimark_benchmark: 937.5297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.5375, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5484, scimark_benchmark: 936.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 37.5808, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5753, scimark_benchmark: 946.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8246, kappa: 0.6149, kb_relative_information_score: 27.6613, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8246, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7457, scimark_benchmark: 939.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 37.5808, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5753, scimark_benchmark: 943.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 922.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 44.9893, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5151, scimark_benchmark: 941.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 32.5506, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.29, root_relative_squared_error: 0.6077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 48.9338, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4876, scimark_benchmark: 944.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.7311, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7116, scimark_benchmark: 943.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 38.7137, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7547, scimark_benchmark: 922.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7895, kappa: 0.5378, kb_relative_information_score: 20.8916, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.8203, scimark_benchmark: 948.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8525, kappa: 0.6691, kb_relative_information_score: 33.2967, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8693, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6584, scimark_benchmark: 907.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 27.3734, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6507, kappa: 0.245, kb_relative_information_score: 20.5379, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.804, predictive_accuracy: 0.7193, prior_entropy: 0.9393, recall: 0.7193, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.1101, scimark_benchmark: 946.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.862, kappa: 0.7054, kb_relative_information_score: 36.8323, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8729, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5716, scimark_benchmark: 939.6857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7629, kappa: 0.4688, kb_relative_information_score: 20.1475, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7673, predictive_accuracy: 0.7719, prior_entropy: 0.9393, recall: 0.7719, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9253, scimark_benchmark: 946.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 46.3081, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4958, scimark_benchmark: 923.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.803, kappa: 0.5612, kb_relative_information_score: 22.4167, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8038, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8593, scimark_benchmark: 947.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 43.269, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4778, scimark_benchmark: 923.7026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 43.269, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4778, scimark_benchmark: 942.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7512, kappa: 0.4416, kb_relative_information_score: 27.3253, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.781, predictive_accuracy: 0.7719, prior_entropy: 0.9393, recall: 0.7719, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0006, scimark_benchmark: 911.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 947.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9135, kappa: 0.8138, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9199, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 947.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 49.7371, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4819, scimark_benchmark: 940.5631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8193, kappa: 0.5963, kb_relative_information_score: 26.8827, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8234, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7482, scimark_benchmark: 945.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7867, kappa: 0.527, kb_relative_information_score: 22.4731, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.786, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.419, root_relative_squared_error: 0.878, scimark_benchmark: 944.0718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7895, kappa: 0.5378, kb_relative_information_score: 20.8916, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.8203, scimark_benchmark: 946.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7427, kappa: 0.4653, kb_relative_information_score: 15.8357, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7705, predictive_accuracy: 0.7368, prior_entropy: 0.9393, recall: 0.7368, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8619, scimark_benchmark: 940.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 43.269, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4778, scimark_benchmark: 943.0436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 34.8706, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7629, kappa: 0.4688, kb_relative_information_score: 20.9107, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7673, predictive_accuracy: 0.7719, prior_entropy: 0.9393, recall: 0.7719, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 25.1003, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6897, scimark_benchmark: 945.4953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7867, kappa: 0.527, kb_relative_information_score: 22.4731, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.786, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8728, scimark_benchmark: 916.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 43.269, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 24.7473, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9006, scimark_benchmark: 947.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 947.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 912.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 27.2631, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6962, scimark_benchmark: 946.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 917.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 46.0955, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5752, scimark_benchmark: 946.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8457, kappa: 0.6859, kb_relative_information_score: 41.0485, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8911, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5006, scimark_benchmark: 916.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7427, kappa: 0.4653, kb_relative_information_score: 15.8357, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7705, predictive_accuracy: 0.7368, prior_entropy: 0.9393, recall: 0.7368, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8619, scimark_benchmark: 948.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9135, kappa: 0.8138, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9199, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 947.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 24.7473, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9006, scimark_benchmark: 919.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7829, kappa: 0.5151, kb_relative_information_score: 31.8503, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9204, scimark_benchmark: 898.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9088, kappa: 0.7957, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 948.1342,

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