Task
Supervised Classification on meta_batchincremental.arff

Supervised Classification on meta_batchincremental.arff

Task 2273 Supervised Classification meta_batchincremental.arff 362 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6251, kappa: 0.2039, kb_relative_information_score: 12.5274, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5885, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.529, kappa: -0.0343, kb_relative_information_score: -2.2964, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4874, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 1.0373, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3596, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4357, f_measure: 0.5189, kappa: -0.0606, kb_relative_information_score: -1.8788, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4721, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 1.0229, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.1616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.6128, kappa: 0.1909, kb_relative_information_score: -5.7267, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5818, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 1.142, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.5835, kappa: 0.1319, kb_relative_information_score: 12.7126, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5613, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5326, kappa: 0.1393, kb_relative_information_score: -14.8926, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6039, predictive_accuracy: 0.5, prior_entropy: 1.3842, recall: 0.5, relative_absolute_error: 1.2666, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.451, root_relative_squared_error: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.5262, kappa: -0.0343, kb_relative_information_score: 7.6191, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4819, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.5866, kappa: 0.1265, kb_relative_information_score: 11.4841, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6062, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.5685, kappa: 0.1011, kb_relative_information_score: 7.3721, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5601, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.2579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.5866, kappa: 0.1265, kb_relative_information_score: 11.4841, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6062, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.5719, kappa: 0.0605, kb_relative_information_score: 7.6012, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.525, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.361, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.529, kappa: -0.0343, kb_relative_information_score: -14.2874, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4874, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 1.2182, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3817, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.5849, kappa: 0.1426, kb_relative_information_score: 2.7866, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.564, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.5543, kappa: 0.0113, kb_relative_information_score: 3.5545, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5035, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.5862, kappa: 0.1051, kb_relative_information_score: 13.0918, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5416, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.5805, kappa: 0.1432, kb_relative_information_score: 6.3559, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5683, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.5805, kappa: 0.1432, kb_relative_information_score: 6.3559, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5683, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5929, kappa: 0.1286, kb_relative_information_score: 10.2059, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5553, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5738, kappa: 0.1134, kb_relative_information_score: 6.8924, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5546, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.427, root_relative_squared_error: 1.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.5429, kappa: 0.15, kb_relative_information_score: 1.5868, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6075, predictive_accuracy: 0.5135, prior_entropy: 1.3842, recall: 0.5135, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.5293, kappa: -0.045, kb_relative_information_score: -8.7183, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4537, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 1.1623, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.0678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.5822, kappa: 0.1523, kb_relative_information_score: 8.0675, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5861, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6004, kappa: 0.1853, kb_relative_information_score: 7.9226, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.593, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5449, kb_relative_information_score: -8.2128, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5449, kb_relative_information_score: -8.2128, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.5738, kappa: 0.1134, kb_relative_information_score: 6.2177, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5546, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.2234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.5917, kappa: 0.1884, kb_relative_information_score: 4.2429, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6354, predictive_accuracy: 0.5541, prior_entropy: 1.3842, recall: 0.5541, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4533, root_relative_squared_error: 1.2935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.5533, kappa: 0.1318, kb_relative_information_score: 1.1932, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5791, predictive_accuracy: 0.5405, prior_entropy: 1.3842, recall: 0.5405, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.1674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3475, f_measure: 0.5249, kappa: -0.0639, kb_relative_information_score: -1.6444, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4473, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 1.02, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6242, kappa: 0.2211, kb_relative_information_score: 8.1531, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6025, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.352, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.5728, kappa: 0.1329, kb_relative_information_score: 6.2543, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.578, predictive_accuracy: 0.5676, prior_entropy: 1.3842, recall: 0.5676, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.465, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.5465, kappa: -0.0091, kb_relative_information_score: 0.6267, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4931, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0641, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5419, kappa: 0.0323, kb_relative_information_score: 4.0795, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5205, predictive_accuracy: 0.5676, prior_entropy: 1.3842, recall: 0.5676, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.431, root_relative_squared_error: 1.23, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 15.9116, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5929, kappa: 0.1286, kb_relative_information_score: 10.2059, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5553, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9597, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 15.9116, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 932.438,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6092, kappa: 0.1785, kb_relative_information_score: 8.4427, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5874, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.385, root_relative_squared_error: 1.0988, scimark_benchmark: 952.4682, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5929, kappa: 0.1286, kb_relative_information_score: 10.2059, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5553, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9597, scimark_benchmark: 935.627, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.5465, kappa: -0.0091, kb_relative_information_score: 0.6267, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4931, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0641, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 15.9116, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.5465, kappa: -0.0091, kb_relative_information_score: 0.6267, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4931, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0641, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 15.9116, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 1286.2211, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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