OpenML
Supervised Classification on glass

Supervised Classification on glass

Task 3868 Supervised Classification glass 570 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 81.015, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7796, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7632, kappa: 0.4775, kb_relative_information_score: 71.2219, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7622, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8929, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7632, kappa: 0.4775, kb_relative_information_score: 71.2219, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7622, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8929, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7632, kappa: 0.4775, kb_relative_information_score: 71.2219, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7622, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8929, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7632, kappa: 0.4775, kb_relative_information_score: 71.2219, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7622, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8929, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7632, kappa: 0.4775, kb_relative_information_score: 67.4307, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7622, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8966, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7439, kappa: 0.4307, kb_relative_information_score: 92.4085, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.746, predictive_accuracy: 0.7523, prior_entropy: 0.9397, recall: 0.7523, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9712, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7326, kappa: 0.4077, kb_relative_information_score: 84.7027, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7318, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9873, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7382, kappa: 0.4161, kb_relative_information_score: 82.3511, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7482, predictive_accuracy: 0.7523, prior_entropy: 0.9397, recall: 0.7523, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9817, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.693, kappa: 0.3189, kb_relative_information_score: 71.3771, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6913, predictive_accuracy: 0.7009, prior_entropy: 0.9397, recall: 0.7009, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4913, root_relative_squared_error: 1.0266, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6786, kappa: 0.2844, kb_relative_information_score: 65.8388, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6786, predictive_accuracy: 0.6916, prior_entropy: 0.9397, recall: 0.6916, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0603, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7994, kappa: 0.5558, kb_relative_information_score: 103.0309, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8007, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8707, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8361, kappa: 0.6359, kb_relative_information_score: 72.9622, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.842, predictive_accuracy: 0.8411, prior_entropy: 0.9397, recall: 0.8411, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7626, scimark_benchmark: 923.7471, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.6541, kappa: 0.2391, kb_relative_information_score: 30.7491, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7044, predictive_accuracy: 0.7009, prior_entropy: 0.9397, recall: 0.7009, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9212, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7565, kappa: 0.4578, kb_relative_information_score: 63.3503, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.762, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8943, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7409, kappa: 0.4305, kb_relative_information_score: 59.1476, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7397, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8839, scimark_benchmark: 930.0565, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7769, kappa: 0.5074, kb_relative_information_score: 88.7708, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7765, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8509, scimark_benchmark: 934.929, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 917.407, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8149, kappa: 0.5912, kb_relative_information_score: 76.4008, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8152, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8049, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7371, kappa: 0.4145, kb_relative_information_score: 50.1663, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7412, predictive_accuracy: 0.7477, prior_entropy: 0.9397, recall: 0.7477, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8752, scimark_benchmark: 952.4682, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7735, kappa: 0.5015, kb_relative_information_score: 86.049, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7725, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8822, scimark_benchmark: 942.3809, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 935.627, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7565, kappa: 0.4578, kb_relative_information_score: 63.3503, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.762, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8943, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1333.335, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1295.609, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7284, kappa: 0.3989, kb_relative_information_score: 57.0192, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7272, predictive_accuracy: 0.7336, prior_entropy: 0.9397, recall: 0.7336, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9352, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 1327.5842, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8149, kappa: 0.5912, kb_relative_information_score: 76.4008, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8152, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8049, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7409, kappa: 0.4305, kb_relative_information_score: 59.1476, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7397, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8839, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8149, kappa: 0.5912, kb_relative_information_score: 76.4008, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8152, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8049, scimark_benchmark: 1335.2363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 1325.6322, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7565, kappa: 0.4578, kb_relative_information_score: 63.3503, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.762, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8943, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7769, kappa: 0.5074, kb_relative_information_score: 88.7708, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7765, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8509, scimark_benchmark: 1306.5596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1286.0816, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1348.2804, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7735, kappa: 0.5015, kb_relative_information_score: 86.049, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7725, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8822, scimark_benchmark: 1315.7081, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1360.9406, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1341.3551, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 1347.993, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161, scimark_benchmark: 942.9708, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7409, kappa: 0.4305, kb_relative_information_score: 59.1476, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7397, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8839, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7371, kappa: 0.4145, kb_relative_information_score: 50.1663, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7412, predictive_accuracy: 0.7477, prior_entropy: 0.9397, recall: 0.7477, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8752, scimark_benchmark: 1341.5795, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7284, kappa: 0.3989, kb_relative_information_score: 57.0192, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7272, predictive_accuracy: 0.7336, prior_entropy: 0.9397, recall: 0.7336, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9352, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8149, kappa: 0.5912, kb_relative_information_score: 76.4008, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8152, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8049, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 61.1696, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9139, scimark_benchmark: 1288.1375,

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