OpenML
Supervised Classification on white-clover

Supervised Classification on white-clover

Task 3062 Supervised Classification white-clover 317 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5815, kappa: 0.1209, kb_relative_information_score: 2.6708, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5643, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0862, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6014, kappa: 0.2135, kb_relative_information_score: 5.3668, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.6219, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.1279, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4829, f_measure: 0.4649, kappa: -0.0577, kb_relative_information_score: -1.2174, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4886, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 1.0814, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.1799, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.4923, kappa: -0.0582, kb_relative_information_score: 1.7288, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4857, predictive_accuracy: 0.5, prior_entropy: 1.4097, recall: 0.5, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3837, root_relative_squared_error: 1.0948, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4649, kappa: -0.0526, kb_relative_information_score: -0.2029, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4886, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 1.0982, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.467, root_relative_squared_error: 1.3327, scimark_benchmark: 936.3373, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5734, kappa: 0.0857, kb_relative_information_score: 0.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5533, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0579, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5815, kappa: 0.1209, kb_relative_information_score: 2.6708, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5643, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0862, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6014, kappa: 0.2135, kb_relative_information_score: 5.3668, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.6219, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.1279, scimark_benchmark: 906.5979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 919.3788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4829, f_measure: 0.4649, kappa: -0.0577, kb_relative_information_score: -1.2174, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4886, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 1.0814, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.1799, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4649, kappa: -0.0526, kb_relative_information_score: -0.2029, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4886, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 1.0982, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.467, root_relative_squared_error: 1.3327, scimark_benchmark: 935.5664, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5734, kappa: 0.0857, kb_relative_information_score: 0.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5533, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0579, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6533, kappa: 0.2547, kb_relative_information_score: 2.0973, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.6588, predictive_accuracy: 0.7, prior_entropy: 1.4097, recall: 0.7, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.9769, scimark_benchmark: 938.988, usercpu_time_millis: 1500, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.6533, kappa: 0.2547, kb_relative_information_score: 2.8435, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.6588, predictive_accuracy: 0.7, prior_entropy: 1.4097, recall: 0.7, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9565, scimark_benchmark: 942.2392, usercpu_time_millis: 970, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, f_measure: 0.6131, kappa: 0.1667, kb_relative_information_score: 1.9511, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5969, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.9918, scimark_benchmark: 939.7241, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6131, kappa: 0.1667, kb_relative_information_score: 2.109, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5969, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9618, scimark_benchmark: 914.3583, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.6533, kappa: 0.2547, kb_relative_information_score: 3.4141, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.6588, predictive_accuracy: 0.7, prior_entropy: 1.4097, recall: 0.7, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3533, root_relative_squared_error: 1.0082, scimark_benchmark: 936.7184, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: -0.6441, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 1.0316, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3528, root_relative_squared_error: 1.0066, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4432, f_measure: 0.5121, kb_relative_information_score: -5.0411, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 1.2918, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.396, root_relative_squared_error: 1.13, scimark_benchmark: 936.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4432, f_measure: 0.5121, kb_relative_information_score: -5.0411, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 1.2918, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.396, root_relative_squared_error: 1.13, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4432, f_measure: 0.5121, kb_relative_information_score: -5.0411, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 1.2918, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.396, root_relative_squared_error: 1.13, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4432, f_measure: 0.5121, kb_relative_information_score: -5.0411, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 1.2918, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.396, root_relative_squared_error: 1.13, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4432, f_measure: 0.5121, kb_relative_information_score: -5.0411, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 1.2918, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.396, root_relative_squared_error: 1.13, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.4352, kappa: -0.2088, kb_relative_information_score: 3.3993, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4214, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9957, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5607, f_measure: 0.4649, kappa: -0.0526, kb_relative_information_score: -0.9624, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4886, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 1.1172, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3884, root_relative_squared_error: 1.1082, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, f_measure: 0.4333, kappa: -0.2422, kb_relative_information_score: -0.0955, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.3824, predictive_accuracy: 0.5, prior_entropy: 1.4097, recall: 0.5, relative_absolute_error: 1.0403, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3646, root_relative_squared_error: 1.0404, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5815, kappa: 0.1209, kb_relative_information_score: 2.6708, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5643, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0862, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6014, kappa: 0.2135, kb_relative_information_score: 5.3668, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.6219, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.1279, scimark_benchmark: 934.7585, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.4923, kappa: -0.0582, kb_relative_information_score: 1.7288, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4857, predictive_accuracy: 0.5, prior_entropy: 1.4097, recall: 0.5, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3837, root_relative_squared_error: 1.0948, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4649, kappa: -0.0526, kb_relative_information_score: -0.2029, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4886, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 1.0982, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.467, root_relative_squared_error: 1.3327, scimark_benchmark: 1311.5017, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5734, kappa: 0.0857, kb_relative_information_score: 0.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5533, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0579, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5815, kappa: 0.1209, kb_relative_information_score: 2.6708, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5643, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0862, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.4875, kappa: -0.0884, kb_relative_information_score: 3.013, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4105, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.003, scimark_benchmark: 1331.8682, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6014, kappa: 0.2135, kb_relative_information_score: 5.3668, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.6219, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.1279, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 1345.7919, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1393.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4649, kappa: -0.0526, kb_relative_information_score: -0.2029, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4886, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 1.0982, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.467, root_relative_squared_error: 1.3327, scimark_benchmark: 1335.2357, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5734, kappa: 0.0857, kb_relative_information_score: 0.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5533, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0579, scimark_benchmark: 1303.9481, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 4.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 1.4097, recall: 0.65, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1937, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.4462, kappa: -0.164, kb_relative_information_score: 1.78, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.4429, predictive_accuracy: 0.45, prior_entropy: 1.4097, recall: 0.45, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1126, scimark_benchmark: 1350.007, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5734, kappa: 0.0857, kb_relative_information_score: 0.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5533, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0579, scimark_benchmark: 1357.7543, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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