Task
Supervised Classification on humandevel

Supervised Classification on humandevel

Task 3787 Supervised Classification humandevel 512 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8767, kappa: 0.7538, kb_relative_information_score: 91.5891, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8802, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8841, kappa: 0.7692, kb_relative_information_score: 85.4579, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8921, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 87.8408, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8767, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8802, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7844, kappa: 0.5692, kb_relative_information_score: 49.0133, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.7857, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8363, kappa: 0.6769, kb_relative_information_score: 84.8258, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8575, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 89.2571, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.295, root_relative_squared_error: 0.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 95.0743, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.8844, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 83.0576, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.3897, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 86.0731, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 97.1747, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 93.9889, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 88.3962, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 88.3962, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.7357, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 90.8541, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.7344, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 85.9, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 39.8812, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4615, kappa: -0.0769, kb_relative_information_score: -0.1207, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.4615, predictive_accuracy: 0.4615, prior_entropy: 1, recall: 0.4615, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8385, kappa: 0.6769, kb_relative_information_score: 87.9535, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8385, kappa: 0.6769, kb_relative_information_score: 88.0112, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8385, kappa: 0.6769, kb_relative_information_score: 87.9535, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.7344, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.963, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 87.1658, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.9073, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 87.1658, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.3333, kb_relative_information_score: -0.1339, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 74.9057, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.7344, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 88.5879, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 92.0854, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8693, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 92, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8769, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8773, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8599, kappa: 0.7231, kb_relative_information_score: 94, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8791, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7442, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 85.7084, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5857, scimark_benchmark: 1787.9841, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 85.7084, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5857, scimark_benchmark: 1649.3429, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8599, kappa: 0.7231, kb_relative_information_score: 94, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8791, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7442, scimark_benchmark: 1332.2618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1376.8639, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8769, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8773, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1620.2806, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1556.245, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 88.0127, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5744, scimark_benchmark: 1671.2677, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 85.6931, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5858, scimark_benchmark: 1460.2587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 88.0127, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5744, scimark_benchmark: 1060.9535, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8385, kappa: 0.6769, kb_relative_information_score: 88, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8038, usercpu_time_millis: 0.12, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, usercpu_time_millis: 12.71, usercpu_time_millis_testing: 2.67, usercpu_time_millis_training: 10.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 91.28, usercpu_time_millis_testing: 43.48, usercpu_time_millis_training: 47.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8841, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8921, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, usercpu_time_millis: 20.29, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 17.06,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.7357, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5923, scimark_benchmark: 1191.4326, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 85.6931, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5858, scimark_benchmark: 1328.5135, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771, scimark_benchmark: 1340.9555, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 92.9706, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7177, scimark_benchmark: 1369.4112, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8458, kappa: 0.6923, kb_relative_information_score: 89.9729, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8491, predictive_accuracy: 0.8462, prior_entropy: 1, recall: 0.8462, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6424, scimark_benchmark: 1044.216, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 88.6358, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6022, scimark_benchmark: 556.0447, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.869, kappa: 0.7385, kb_relative_information_score: 81.8067, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8714, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6605, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 92.9246, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6188, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.8859, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 87.1658, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6149, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.7357, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5923, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 85.6931, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5858, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 92.9706, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7177, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8458, kappa: 0.6923, kb_relative_information_score: 89.9729, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8491, predictive_accuracy: 0.8462, prior_entropy: 1, recall: 0.8462, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6424, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 88.6358, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6022, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.869, kappa: 0.7385, kb_relative_information_score: 81.8067, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8714, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6605, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 92.9246, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6188, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 94.8859, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 87.1658, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6149, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 90.8943, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5796, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 88.1127, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6283, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 95.7352, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6618, scimark_benchmark: 1834.908, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 96.912, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6007, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 96.912, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6007, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 88.7316, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8392, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6659, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 90.6818, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5917, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 85.5734, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5885, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 90.7013, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5817, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 96, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1260.4413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771, scimark_benchmark: 1070.5276, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 88.6358, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6022, scimark_benchmark: 922.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 96, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 95.8969, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6234, scimark_benchmark: 1860.4354,

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