OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.8367, kappa: 0.4922, kb_relative_information_score: 130.8643, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8349, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.8378, scimark_benchmark: 1811.4539, usercpu_time_millis: 3.38, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 2.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8328, kappa: 0.4581, kb_relative_information_score: 134.9915, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8321, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.8409, scimark_benchmark: 1745.0258, usercpu_time_millis: 5.044, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 4.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8361, kappa: 0.4747, kb_relative_information_score: 130.8894, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8337, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.8657, scimark_benchmark: 1865.6428, usercpu_time_millis: 4.045, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8287, kappa: 0.4448, kb_relative_information_score: 142.9305, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8274, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.8361, scimark_benchmark: 1867.725, usercpu_time_millis: 6.617, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 5.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.8255, kappa: 0.4402, kb_relative_information_score: 130.6945, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8558, scimark_benchmark: 1870.2804, usercpu_time_millis: 6.489, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 6.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.809, kappa: 0.3827, kb_relative_information_score: 133.7802, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8051, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8547, scimark_benchmark: 1864.4376, usercpu_time_millis: 9.515, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 8.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8288, kappa: 0.4489, kb_relative_information_score: 135.0506, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.8468, scimark_benchmark: 1867.6581, usercpu_time_millis: 9.515, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 8.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.7042, kb_relative_information_score: 0.114, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8181, kappa: 0.4139, kb_relative_information_score: 136.9783, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8148, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.8288, scimark_benchmark: 1778.5519, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8312, kappa: 0.4576, kb_relative_information_score: 139.9426, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8288, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.8343, scimark_benchmark: 1749.1199, usercpu_time_millis: 2.522, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 2.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 134.3379, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.8394, scimark_benchmark: 1868.1832, usercpu_time_millis: 2.459, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8288, kappa: 0.4489, kb_relative_information_score: 132.6718, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.343, root_relative_squared_error: 0.8497, scimark_benchmark: 1867.1999, usercpu_time_millis: 4.732, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 4.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.832, kappa: 0.4579, kb_relative_information_score: 134.2948, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8303, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.8405, scimark_benchmark: 1745.8253, usercpu_time_millis: 6.144, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 5.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.8295, kappa: 0.4491, kb_relative_information_score: 134.3837, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8278, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8458, scimark_benchmark: 1868.2531, usercpu_time_millis: 5.946, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 5.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.8269, kappa: 0.4564, kb_relative_information_score: 137.4301, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8239, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.8377, scimark_benchmark: 1746.7981, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.7042, kb_relative_information_score: -0.032, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1745.0258, usercpu_time_millis: 0.451, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8391, kappa: 0.5063, kb_relative_information_score: 129.5791, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8391, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.8391, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.7042, kb_relative_information_score: 1.223, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1, scimark_benchmark: 1749.1834, usercpu_time_millis: 0.858, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8231, kappa: 0.4315, kb_relative_information_score: 130.9831, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8199, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8296, scimark_benchmark: 1864.5074, usercpu_time_millis: 1.144, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8288, kappa: 0.4489, kb_relative_information_score: 130.3267, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.8507, scimark_benchmark: 1748.7212, usercpu_time_millis: 5.692, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 5.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8288, kappa: 0.453, kb_relative_information_score: 129.7922, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8256, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.868, scimark_benchmark: 1866.1679, usercpu_time_millis: 6.265, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 5.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.8072, kappa: 0.3946, kb_relative_information_score: 124.4795, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8036, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8963, scimark_benchmark: 1851.0585, usercpu_time_millis: 5.271, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 4.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.7042, kb_relative_information_score: 0.5518, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1, scimark_benchmark: 1860.7227, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.8386, kappa: 0.4797, kb_relative_information_score: 136.9359, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8372, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8397, scimark_benchmark: 1718.3838, usercpu_time_millis: 3.325, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 2.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7947, kappa: 0.3689, kb_relative_information_score: 0.2308, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7943, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.455, root_relative_squared_error: 1.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.7093, kappa: 0.0131, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6891, predictive_accuracy: 0.7854, prior_entropy: 0.7318, recall: 0.7854, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.1474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.7093, kappa: 0.0131, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6891, predictive_accuracy: 0.7854, prior_entropy: 0.7318, recall: 0.7854, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.1474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.8288, kappa: 0.453, kb_relative_information_score: 0.2689, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8256, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8283, kappa: 0.4311, kb_relative_information_score: 0.2515, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8385, predictive_accuracy: 0.8487, prior_entropy: 0.7318, recall: 0.8487, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, kb_relative_information_score: 0.1081, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8223, kappa: 0.4174, kb_relative_information_score: 0.2315, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8229, kappa: 0.4171, kb_relative_information_score: 0.262, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8267, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8426, kappa: 0.4825, kb_relative_information_score: 0.2489, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8495, predictive_accuracy: 0.8582, prior_entropy: 0.7318, recall: 0.8582, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8394, kappa: 0.4766, kb_relative_information_score: 0.2696, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8412, predictive_accuracy: 0.8525, prior_entropy: 0.7318, recall: 0.8525, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.806, kappa: 0.3503, kb_relative_information_score: 0.2072, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8376, kappa: 0.4681, kb_relative_information_score: 0.2293, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8414, predictive_accuracy: 0.8525, prior_entropy: 0.7318, recall: 0.8525, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8301, kappa: 0.445, kb_relative_information_score: 0.2733, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.7318, recall: 0.8448, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8367, kappa: 0.4821, kb_relative_information_score: 0.3467, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8338, predictive_accuracy: 0.8429, prior_entropy: 0.7318, recall: 0.8429, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.8191, kappa: 0.423, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8153, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.8787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8168, kappa: 0.3925, kb_relative_information_score: 0.1958, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.346, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, kb_relative_information_score: 0.0175, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.8336, kappa: 0.4624, kb_relative_information_score: 0.2921, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8324, predictive_accuracy: 0.8448, prior_entropy: 0.7318, recall: 0.8448, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8255, kappa: 0.4265, kb_relative_information_score: 0.2489, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8291, predictive_accuracy: 0.8429, prior_entropy: 0.7318, recall: 0.8429, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.8361, kappa: 0.4747, kb_relative_information_score: 0.3223, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8337, predictive_accuracy: 0.8448, prior_entropy: 0.7318, recall: 0.8448, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8409, kappa: 0.4916, kb_relative_information_score: 0.2903, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8385, predictive_accuracy: 0.8487, prior_entropy: 0.7318, recall: 0.8487, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8285, kappa: 0.4404, kb_relative_information_score: 0.2696, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8292, predictive_accuracy: 0.8429, prior_entropy: 0.7318, recall: 0.8429, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.8199, kappa: 0.4316, kb_relative_information_score: 0.3424, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.8256, kappa: 0.4214, kb_relative_information_score: 0.2322, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8361, predictive_accuracy: 0.8467, prior_entropy: 0.7318, recall: 0.8467, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.8175, kappa: 0.4232, kb_relative_information_score: 0.3178, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8138, predictive_accuracy: 0.8238, prior_entropy: 0.7318, recall: 0.8238, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.7595, kappa: 0.2777, kb_relative_information_score: 0.0884, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.765, predictive_accuracy: 0.7548, prior_entropy: 0.7318, recall: 0.7548, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8201, kappa: 0.4961, kb_relative_information_score: -0.067, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8458, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8067, kappa: 0.4653, kb_relative_information_score: -0.2382, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8374, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8058, kappa: 0.4682, kb_relative_information_score: -0.1233, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8404, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8048, kappa: 0.4588, kb_relative_information_score: -0.0877, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8347, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8067, kappa: 0.4653, kb_relative_information_score: -0.2382, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8374, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.8264, kappa: 0.4444, kb_relative_information_score: 0.3112, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8217, kappa: 0.4997, kb_relative_information_score: -0.0956, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8467, predictive_accuracy: 0.8103, prior_entropy: 0.7318, recall: 0.8103, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8064, kappa: 0.4622, kb_relative_information_score: -0.066, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8355, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8064, kappa: 0.4622, kb_relative_information_score: -0.066, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8355, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.8214, kappa: 0.5078, kb_relative_information_score: -0.985, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8532, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 1.4958, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.2106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8204, kappa: 0.4991, kb_relative_information_score: -0.9999, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8476, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 1.5072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8067, kappa: 0.4653, kb_relative_information_score: -0.2382, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8374, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8058, kappa: 0.4682, kb_relative_information_score: -0.1233, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8404, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8288, kappa: 0.5002, kb_relative_information_score: -0.6825, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8406, predictive_accuracy: 0.8218, prior_entropy: 0.7318, recall: 0.8218, relative_absolute_error: 1.2853, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8234, kappa: 0.5032, kb_relative_information_score: -0.1418, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8475, predictive_accuracy: 0.8123, prior_entropy: 0.7318, recall: 0.8123, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8288, kappa: 0.5002, kb_relative_information_score: -0.6825, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8406, predictive_accuracy: 0.8218, prior_entropy: 0.7318, recall: 0.8218, relative_absolute_error: 1.2853, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.8239, kappa: 0.4358, kb_relative_information_score: 0.2956, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8206, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.8239, kappa: 0.4441, kb_relative_information_score: 0.3452, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8205, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.8536, kappa: 0.5337, kb_relative_information_score: 0.3283, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8519, predictive_accuracy: 0.8602, prior_entropy: 0.7318, recall: 0.8602, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8432, kappa: 0.4999, kb_relative_information_score: 0.2633, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.841, predictive_accuracy: 0.8506, prior_entropy: 0.7318, recall: 0.8506, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7324, kappa: 0.0918, kb_relative_information_score: 0.1124, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7995, predictive_accuracy: 0.8046, prior_entropy: 0.7318, recall: 0.8046, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8452, kappa: 0.495, kb_relative_information_score: 0.2323, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8484, predictive_accuracy: 0.8582, prior_entropy: 0.7318, recall: 0.8582, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7924, kappa: 0.3014, kb_relative_information_score: 0.1939, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8135, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8277, kappa: 0.4311, kb_relative_information_score: 0.1911, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8349, predictive_accuracy: 0.8467, prior_entropy: 0.7318, recall: 0.8467, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.347, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8368, kappa: 0.4677, kb_relative_information_score: 0.2412, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8388, predictive_accuracy: 0.8506, prior_entropy: 0.7318, recall: 0.8506, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.8139, kappa: 0.3741, kb_relative_information_score: 0.1918, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.7318, recall: 0.8448, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.835, kappa: 0.459, kb_relative_information_score: 0.2748, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.839, predictive_accuracy: 0.8506, prior_entropy: 0.7318, recall: 0.8506, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8378, kappa: 0.4757, kb_relative_information_score: 0.2866, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8369, predictive_accuracy: 0.8487, prior_entropy: 0.7318, recall: 0.8487, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8394, kappa: 0.4803, kb_relative_information_score: 0.2842, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8391, predictive_accuracy: 0.8506, prior_entropy: 0.7318, recall: 0.8506, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.8334, kappa: 0.4734, kb_relative_information_score: 0.2724, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8304, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8188, kappa: 0.4136, kb_relative_information_score: 0.2879, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -13.9483, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -45.8799, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0293, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -11.1161, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, kb_relative_information_score: 42.5753, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -34.7791, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0222, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7672, kappa: 0.2115, kb_relative_information_score: 82.0338, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8002, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -24.345, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 13.6162, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, kb_relative_information_score: -96.8236, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0646, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7584, kappa: 0.1945, kb_relative_information_score: 84.8638, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7523, predictive_accuracy: 0.7912, prior_entropy: 0.734, recall: 0.7912, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 7.1535, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8254, kappa: 0.4358, kb_relative_information_score: 134.7661, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8409, kappa: 0.4916, kb_relative_information_score: 146.2265, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8385, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.8163, kappa: 0.4739, kb_relative_information_score: 51.8381, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8345, predictive_accuracy: 0.8065, prior_entropy: 0.734, recall: 0.8065, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, kb_relative_information_score: 53.9861, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -30.0683, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.817, kappa: 0.3986, kb_relative_information_score: 56.5997, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.819, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 1.7788, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -4.5776, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs