OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8343, kappa: 0.6677, kb_relative_information_score: 139.549, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8452, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8104, usercpu_time_millis: 2.081, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7323, kappa: 0.4628, kb_relative_information_score: 97.2785, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7392, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0308, usercpu_time_millis: 187.692, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 186.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8497, kappa: 0.698, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8554, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 4.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7505, kappa: 0.5006, kb_relative_information_score: 105.33, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7624, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9926, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7694, kappa: 0.537, kb_relative_information_score: 111.3687, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7696, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.963, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6733, kappa: 0.344, kb_relative_information_score: 71.111, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6736, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1461, usercpu_time_millis: 1.377, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7549, kappa: 0.5077, kb_relative_information_score: 105.33, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.755, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9926, usercpu_time_millis: 5.118, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 5.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6926, kappa: 0.3834, kb_relative_information_score: 79.1625, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1119, usercpu_time_millis: 3.408, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 2.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7293, kappa: 0.4555, kb_relative_information_score: 95.2656, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7312, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0401, usercpu_time_millis: 115.22, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 115.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7579, kappa: 0.5132, kb_relative_information_score: 107.3429, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7613, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9828, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6266, kappa: 0.2543, kb_relative_information_score: 55.0079, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6363, predictive_accuracy: 0.6346, prior_entropy: 0.9968, recall: 0.6346, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.2117, usercpu_time_millis: 2.367, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 1.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4919, kappa: -0.0178, kb_relative_information_score: -1.3529, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.4931, predictive_accuracy: 0.5, prior_entropy: 0.9968, recall: 0.5, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4174, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 119.4202, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.922, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 75.1367, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1292, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.7551, kappa: 0.509, kb_relative_information_score: 105.33, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7562, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9926, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8408, kappa: 0.6798, kb_relative_information_score: 141.5619, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8422, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7984, usercpu_time_millis: 19.422, usercpu_time_millis_testing: 2.294, usercpu_time_millis_training: 17.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7402, kappa: 0.4777, kb_relative_information_score: 99.2914, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7401, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0214, usercpu_time_millis: 2.659, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 2.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.7647, kappa: 0.5282, kb_relative_information_score: 109.3558, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7658, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9729, usercpu_time_millis: 1.509, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6925, kappa: 0.3826, kb_relative_information_score: 79.1625, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6928, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1119, usercpu_time_millis: 1.172, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7528, kappa: 0.5032, kb_relative_information_score: 105.33, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7568, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9926, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7782, kappa: 0.5539, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7789, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 141.5619, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7984, usercpu_time_millis: 0.306, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8213, kappa: 0.6405, kb_relative_information_score: 133.5104, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8235, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8454, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7454, kappa: 0.4891, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7459, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7254, kappa: 0.4476, kb_relative_information_score: 93.2527, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7256, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0494, usercpu_time_millis: 3.844, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 2.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 73.1239, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.1377, usercpu_time_millis: 3.705, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 2.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 147.6006, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7613, usercpu_time_millis: 3.307, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 1.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7454, kappa: 0.4891, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7459, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7449, kappa: 0.4871, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7449, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, usercpu_time_millis: 4.821, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 4.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7406, kappa: 0.4798, kb_relative_information_score: 99.2914, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7414, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0214, usercpu_time_millis: 1.236, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.4614, kappa: 0.0984, kb_relative_information_score: 30.8533, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.764, predictive_accuracy: 0.5769, prior_entropy: 0.9968, recall: 0.5769, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.3038, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8599, kappa: 0.7182, kb_relative_information_score: 149.6135, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8625, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7485, usercpu_time_millis: 386.459, usercpu_time_millis_testing: 13.427, usercpu_time_millis_training: 373.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8985, kappa: 0.796, kb_relative_information_score: 165.7165, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.9015, predictive_accuracy: 0.899, prior_entropy: 0.9968, recall: 0.899, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6369, usercpu_time_millis: 1.608, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4257, kappa: -0.0161, kb_relative_information_score: 6.6987, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.4824, predictive_accuracy: 0.5192, prior_entropy: 0.9968, recall: 0.5192, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6934, root_relative_squared_error: 1.3899, usercpu_time_millis: 0.319, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7825, kappa: 0.5671, kb_relative_information_score: 119.4202, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8077, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.922, usercpu_time_millis: 12.442, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 11.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6877, kappa: 0.3734, kb_relative_information_score: 77.1496, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6883, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206, usercpu_time_millis: 1.856, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7544, kappa: 0.5094, kb_relative_information_score: 107.3429, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7707, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9828, usercpu_time_millis: 3.7, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 3.315,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 93.2193, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7769, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 86.1999, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8857, scimark_benchmark: 851.2074, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 100.0833, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9298, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 931.771, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6159, kappa: 0.2773, kb_relative_information_score: 63.0594, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.711, predictive_accuracy: 0.6538, prior_entropy: 0.9968, recall: 0.6538, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1794, scimark_benchmark: 932.438, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 100.0833, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9298, scimark_benchmark: 943.1009, usercpu_time_millis: 1170, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 93.2193, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7769, scimark_benchmark: 935.2002, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 86.1999, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8857, scimark_benchmark: 608.4057, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 941.4991, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8648, kappa: 0.7281, kb_relative_information_score: 130.9809, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8669, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6097, scimark_benchmark: 936.9595, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 100.0833, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9298, scimark_benchmark: 936.9595, usercpu_time_millis: 1190, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_training: 80,

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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From your own software

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

OpenML APIs